Cybersecurity Archives - gettectonic.com
Can Tech Companies Use Generative AI for Good?
16Apr

AI and the Future of IT Careers

AI and the Future of IT Careers: Jobs That Remain Secure As AI technology advances, concerns about job security in the IT sector continue to grow. AI excels at handling repetitive, high-speed tasks and has made significant strides in software development and error prediction. However, while AI offers exciting possibilities, the demand for human expertise remains strong—particularly in roles that require interpersonal skills, strategic thinking, and decision-making. So, which IT jobs are most secure from AI displacement? To answer this question, industry experts shared their insights: Their forecasts highlight the IT roles most resistant to AI replacement. In all cases, professionals should enhance their AI knowledge to stay competitive in an evolving landscape. Top AI-Resistant IT Roles 1. Business Analyst Role Overview:Business analysts act as a bridge between IT and business teams, identifying technology opportunities and facilitating collaboration to optimize solutions. Why AI Won’t Replace It:While AI can process vast amounts of data quickly, it lacks emotional intelligence, relationship-building skills, and the ability to interpret nuanced human communication. Business analysts leverage these soft skills to understand software needs and drive successful implementations. How to Stay Competitive:Develop strong data analysis, business intelligence (BI), communication, and presentation skills to enhance your value in this role. 2. Cybersecurity Engineer Role Overview:Cybersecurity engineers protect organizations from evolving security threats, including AI-driven cyberattacks. Why AI Won’t Replace It:As AI tools become more sophisticated, cybercriminals will exploit them to develop advanced attack strategies. Human expertise is essential to adapt defenses, investigate threats, and implement security measures AI alone cannot handle. How to Stay Competitive:Continuously update your cybersecurity knowledge, obtain relevant certifications, and develop a strong understanding of business security needs. 3. End-User Support Professional Role Overview:These professionals assist employees with technical issues and provide hands-on training to ensure smooth software adoption. Why AI Won’t Replace It:Technology adoption is becoming increasingly complex, requiring personalized support that AI cannot yet replicate. Human interaction remains crucial for troubleshooting and user training. How to Stay Competitive:Pursue IT certifications, strengthen customer service skills, and gain experience in enterprise software environments. 4. Data Analyst Role Overview:Data analysts interpret business and product data, generate insights, and predict trends to guide strategic decisions. Why AI Won’t Replace It:AI can analyze data, but human oversight is needed to ensure accuracy, recognize context, and derive meaningful insights. Companies will continue to rely on professionals who can interpret and act on data effectively. How to Stay Competitive:Specialize in leading BI platforms, gain hands-on experience with data visualization tools, and develop strong analytical thinking skills. 5. Data Governance Professional Role Overview:These professionals set policies for data usage, access, and security within an organization. Why AI Won’t Replace It:As AI handles increasing amounts of data, the need for governance professionals grows to ensure ethical and compliant data management. How to Stay Competitive:Obtain a degree in computer science or business administration and seek training in data privacy, security, and governance frameworks. 6. Data Privacy Professional Role Overview:Data privacy professionals ensure compliance with data protection regulations and safeguard personal information. Why AI Won’t Replace It:With AI collecting vast amounts of personal data, organizations require human experts to manage legal compliance and maintain trust. How to Stay Competitive:Develop expertise in privacy laws, cybersecurity, and regulatory compliance through certifications and training programs. 7. IAM Engineer (Identity and Access Management) Role Overview:IAM engineers develop and implement systems that regulate user access to sensitive data. Why AI Won’t Replace It:The growing complexity of digital identities and security protocols requires human oversight to manage, audit, and secure access rights. How to Stay Competitive:Pursue a computer science degree, gain experience in authentication frameworks, and build expertise in programming and operating systems. 8. IT Director Role Overview:IT directors oversee technology strategies, manage teams, and align IT initiatives with business goals. Why AI Won’t Replace It:Leadership, motivation, and strategic decision-making are human-driven capabilities that AI cannot replicate. How to Stay Competitive:Develop strong leadership, business acumen, and team management skills to effectively align IT with organizational success. 9. IT Product Manager Role Overview:Product managers oversee tech adoption, service management, and organizational change strategies. Why AI Won’t Replace It:Effective product management requires a human touch, particularly in change management and stakeholder communication. How to Stay Competitive:Pursue project management training and certifications while gaining experience in software development and enterprise technology. Staying AI-Proof: Learning AI Expert Insights on Future IT Careers Final Thoughts As AI continues to reshape the IT landscape, the key to job security lies in adaptability. Professionals who develop AI-related skills and focus on roles that require human judgment, creativity, and leadership will remain indispensable in the evolving workforce. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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April 16, 2025in AI Tools, Data, Enterprise, Generative AI, Laws, Technology0 Comments
Agentic AI is Here
20Mar

The Catalytic Potential of Agentic AI in Cloud Computing

Artificial intelligence continues to drive a technological flywheel where each breakthrough enables more sophisticated systems. While generative AI has dominated discourse since ChatGPT’s 2022 debut, 2025 appears poised to become the year of agentic AI – marking a paradigm shift from passive information processing toward proactive, autonomous systems capable of executing complex workflows. The Rise of Autonomous AI Agents Unlike conventional chatbots that facilitate human-led interactions, agentic AI systems operate independently to complete multi-step processes. These autonomous agents demonstrate capabilities ranging from specialized functions like sales outreach and travel booking to broader applications in cybersecurity and human resources. Industry analysts anticipate these systems will follow an adoption curve reminiscent of early internet technologies, potentially creating multi-billion dollar markets as they become embedded in daily operations. Cloud infrastructure providers stand to benefit significantly from this evolution. The computational demands of autonomous agents – including increased data generation, processing requirements, and storage needs – may accelerate cloud adoption across industries. This trend presents opportunities throughout the technology value chain, from foundational infrastructure to specialized software solutions. Market Dynamics and Growth Projections Recent industry surveys indicate strong momentum for agentic AI adoption: Current projections estimate the agentic AI market reaching 47 billion by 2030 Infrastructure Implications and Emerging Opportunities The rise of autonomous AI systems is driving several structural changes in technology markets: Industry Adoption and Commercialization Leading technology providers have moved aggressively to capitalize on this trend: These developments suggest agentic AI is already reshaping enterprise software economics while demonstrating strong market acceptance despite premium pricing. Strategic Implications Agentic AI represents more than technological evolution – it signals a fundamental shift in how enterprises leverage artificial intelligence. By automating complex workflows and decision-making processes, these systems offer: As the technology matures, agentic AI appears poised to catalyze the next phase of cloud computing growth while creating new opportunities across the technology ecosystem. For enterprises and investors alike, understanding and positioning for this transition may prove critical in the coming years. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 20, 2025in Agentic AI, Artificial Intelligence, Cloud Computing, Data, Enterprise, Generative AI, Salesforce, Technology0 Comments
13Mar

Secure Your Data

Secure Your Data: Strengthen Protection with Smart Hygiene Practices Security threats are the biggest barrier to effective data management, according to our State of Data and Analytics report. The good news? Human error accounts for 80% of cybersecurity incidents, meaning basic security hygiene can prevent most breaches. 🔹 Global IT and security leaders agree: The most effective defenses against cyberattacks include multi-factor authentication (MFA), identity and access management (IAM), and data encryption (2023 Global Data Security Trends Report). Six Security Best Practices to Protect Your Data 1. Encrypt Data to Keep It Private Encryption converts sensitive information into ciphertext that can only be unlocked with a decryption key. Whether data is in transit or at rest, encryption prevents unauthorized access. Look for solutions that offer end-to-end encryption to safeguard financial transactions, private messages, and customer records. 2. Control Access with Identity & Access Management (IAM) Only grant employees the minimum access they need to do their jobs (least privilege access). 66% of security leaders trust IAM to restrict who can view, edit, and manage sensitive data—reducing the risk of unauthorized access. 3. Require Multi-Factor Authentication (MFA) MFA strengthens security by requiring two or more credentials to verify user identity. 80% of IT leaders report that MFA is a core part of their security strategy because it significantly reduces unauthorized logins. 4. Invest in Backup & Recovery Solutions Data loss isn’t just an inconvenience—it can be catastrophic. Yet, only 39% of IT leaders consider backup and recovery a security priority. Ensure all business-critical data—from CRM to cloud storage—is backed up and recoverable to minimize risks. 5. Train Employees on Security Awareness Your team is your first line of defense. Cyberattacks often exploit human mistakes, making ongoing security training essential. Nearly two-thirds of IT leaders say they are increasing employee security training to boost awareness and adoption of best practices. 6. Strengthen Password Security Weak passwords remain a leading cause of breaches. Use a secure password manager and enforce these best practices: ✅ Create 16+ character passwords with a mix of letters, numbers, and symbols✅ Use passphrases with special characters for added complexity✅ Require multi-factor authentication (MFA) to access password managers How Humana Strengthened Security & Cut Costs 💡 million saved in security costs💡 Enhanced patient data protection “Our ultimate goal is that members see us as a trusted partner who can provide the services they need in a very timely manner.”— Brian Cahill, Vice President, Pharmacy Segment CIO, Humana Security Hygiene Checklist ✅ Automate software and security updates to protect against vulnerabilities✅ Encrypt data during transmission and storage to prevent unauthorized access✅ Use a secure file-sharing platform with end-to-end encryption✅ Implement least privilege access to ensure employees only access what they need✅ Regularly review employee permissions to maintain role-based security 🔒 Proactive security measures don’t just protect data—they build trust and resilience in your organization. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 13, 2025in AI Tools, Data, Salesforce Data Cloud0 Comments
Predictive Analytics for Business Potential
10Mar

Predictive Analytics for Business Potential

Maximizing Business Potential with Predictive Analytics Every business generates vast amounts of data daily, yet not all leverage it effectively. Predictive analytics transforms raw data into actionable insights, enabling companies to forecast demand, reduce operational costs, and enhance customer engagement. Whether through AI-powered models, machine learning algorithms, or cloud-based analytics, predictive analytics is reshaping business strategies. Organizations that integrate predictive analytics into decision-making can anticipate challenges, seize new opportunities, and outperform competitors. This insight explores the significance of predictive analytics and how businesses can harness its power to gain a competitive edge. The Expanding Influence of Predictive Analytics Predictive analytics is revolutionizing industries, driving innovation, and transforming data into strategic advantages. Transforming Industries with Predictive Analytics Predictive analytics is now a cornerstone of modern industries, facilitating smarter decision-making through data-driven insights. By analyzing historical data, businesses can forecast trends, anticipate customer behaviors, and optimize operations. Sectors such as healthcare, retail, and finance are leveraging predictive tools to maintain competitiveness. For example: As industries adopt these solutions, predictive analytics continues to redefine efficiency and innovation. Key Trends in Predictive Analytics Adoption The widespread adoption of predictive analytics is fueled by advancements in AI, big data, and machine learning. Businesses are capitalizing on these trends to sharpen their competitive edge. Notable developments include: As predictive analytics tools become more sophisticated, they are becoming integral to business strategies, helping companies unlock untapped potential. Overcoming Implementation Challenges Despite its benefits, implementing predictive analytics poses challenges, such as data silos, integration complexities, and skill gaps. To address these issues, organizations should: By overcoming these barriers, businesses can fully harness predictive analytics to drive efficiency, innovation, and growth. Predictive Data Modeling for Smarter Decision-Making Predictive data modeling transforms raw data into strategic insights, improving forecasting and operational decision-making. Understanding Predictive Data Modeling Predictive data modeling employs statistical techniques and machine learning algorithms to analyze historical data and predict future trends. Its core components include: By applying these models, businesses can refine their strategies with data-backed insights, improving efficiency and competitiveness. The Role of Data Quality in Predictive Accuracy The effectiveness of predictive models depends on data quality. Inconsistent or outdated data can lead to unreliable predictions, affecting decision-making. Key steps to ensure high data quality include: High-quality data enhances predictive models, enabling businesses to make informed, confident decisions. Enhancing Forecasting with Predictive Data Modeling Predictive data modeling improves forecasting accuracy by analyzing historical trends and projecting future outcomes. Benefits include: Retailers optimize inventory, while manufacturers align production with demand fluctuations, demonstrating the strategic value of predictive modeling. Driving Business Growth with Predictive Analytics Why Businesses Should Adopt Predictive Analytics Now In today’s competitive landscape, predictive analytics is essential for staying ahead. By leveraging data, algorithms, and machine learning, businesses can anticipate risks and opportunities, optimizing strategies while reducing uncertainty. Retailers, for instance, use predictive insights to forecast seasonal demand spikes, ensuring optimal stock levels. As AI advances, predictive analytics is more accessible than ever, making now the ideal time for adoption. Enhancing Decision-Making and Efficiency Predictive analytics eliminates guesswork, empowering leaders with data-backed decisions. Benefits include: These advantages drive sustainable growth and competitive advantage across industries. Seamlessly Integrating Predictive Analytics into Business Workflows To maximize impact, predictive analytics must integrate into existing workflows. Steps for successful adoption include: By embedding predictive analytics into workflows, businesses enhance agility and decision-making capabilities. AI-Powered Predictive Analytics for Competitive Advantage Why AI Predictive Analytics is Transformative AI-powered predictive analytics delivers insights beyond traditional methods, processing vast datasets rapidly to identify complex patterns and trends. Applications include: With AI continuously learning and refining predictions, businesses gain a dynamic advantage. Enhancing Accuracy with AI AI refines predictions by analyzing diverse data sources, including text, images, and videos. Examples include: Advanced AI techniques, such as natural language processing and neural networks, ensure businesses derive actionable insights, driving smarter strategies and better results. Machine Learning’s Role in Predictive Analytics Machine learning (ML) is foundational to predictive analytics, continuously improving model accuracy. Examples include: By leveraging ML, businesses enhance their predictive capabilities, ensuring long-term competitive success. Enhancing Enterprise Solutions with Predictive Analytics Transforming SAP Systems with Predictive Analytics SAP systems integrated with predictive analytics unlock actionable insights from vast datasets. Benefits include: By embedding predictive capabilities, SAP users can optimize operations and drive proactive decision-making. Empowering Salesforce with Predictive Insights Salesforce predictive analytics enhances decision-making across marketing, sales, and customer service. Key capabilities include: With Salesforce Einstein, businesses can streamline operations, boost performance, and foster deeper customer engagement. Predictive analytics is a game-changer, reshaping industries, optimizing operations, and unlocking new growth opportunities. Businesses that embrace predictive analytics today will be well-positioned to navigate future challenges and lead in the data-driven economy. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 10, 2025in Data, Enterprise, Salesforce, Salesforce Einstein
is it real or is it gen-r-x
27Feb

Is it Real or is it Gen-r-X?

The Rise of AI-Generated Content: A Double-Edged Sword It began with a viral deepfake video of a celebrity singing an unexpected tune. Soon, political figures appeared to say things they never uttered. Before long, hyper-realistic AI-generated content flooded the internet, blurring the line between reality and fabrication. While AI-driven creativity unlocks endless possibilities, it also raises an urgent question: How can society discern truth in an era where anything can be convincingly fabricated? Enter SynthID, Google DeepMind’s pioneering solution designed to embed imperceptible watermarks into AI-generated images, offering a reliable method to verify authenticity. What Is SynthID, and Why Does It Matter? At its core, SynthID is an AI-powered watermarking tool that embeds and detects digital signatures in AI-generated images. Unlike traditional watermarks, which can be removed or altered, SynthID’s markers are nearly invisible to the human eye but detectable by specialized AI models. This innovation represents a significant step in combating AI-generated misinformation while preserving the integrity of creative AI applications. How SynthID Works SynthID’s technology operates in two critical phases: This method ensures that even if an image is slightly edited, resized, or filtered, the SynthID watermark remains intact—making it far more resilient than conventional watermarking techniques. SynthID for AI-Generated Text Large language models (LLMs) generate text one token at a time, where each token may represent a single character, word, or part of a phrase. The model predicts the next most likely token based on preceding words and probability scores assigned to potential options. For example, given the phrase “My favorite tropical fruits are __,” an LLM might predict tokens like “mango,” “lychee,” “papaya,” or “durian.” Each token receives a probability score. When multiple viable options exist, SynthID can adjust these probability scores—without compromising output quality—to embed a detectable signature. (Source: DeepMind) SynthID for AI-Generated Music SynthID converts an audio waveform—a one-dimensional representation of sound—into a spectrogram, a two-dimensional visualization of frequency changes over time. The digital watermark is embedded into this spectrogram before being converted back into an audio waveform. This process leverages audio properties to ensure the watermark remains inaudible to humans, preserving the listening experience. The watermark is robust against common modifications such as noise additions, MP3 compression, or tempo changes. SynthID can also scan audio tracks to detect watermarks at different points, helping determine if segments were generated by Lyria, Google’s advanced AI music model. (Source: DeepMind) The Urgent Need for Digital Watermarking in AI AI-generated content is already disrupting multiple industries: In this chaotic landscape, SynthID serves as a digital signature of truth, offering journalists, artists, regulators, and tech companies a crucial tool for transparency. Real-World Impact: How SynthID Is Being Used Today SynthID is already integrated into Google’s Imagen, a text-to-image AI model, and is being tested across industries: By embedding SynthID into digital content pipelines, these industries are fostering an ecosystem where AI-generated media is traceable, reducing misinformation risks. Challenges & Limitations: Is SynthID Foolproof? While groundbreaking, SynthID is not without challenges: Despite these limitations, SynthID lays the foundation for a future where AI-generated content can be reliably traced. The Future of AI Content Verification Google DeepMind’s SynthID is just the beginning. The battle against AI-generated misinformation may involve: As AI reshapes the digital world, tools like SynthID ensure innovation does not come at the cost of authenticity. The Thin Line Between Trust & Deception AI is a powerful tool, but without safeguards, it can become a weapon of misinformation. SynthID represents a bold step toward transparency, helping society navigate the blurred boundaries between real and artificial content. As the technology evolves, businesses, policymakers, and users must embrace solutions like SynthID to ensure AI enhances reality rather than distorting it. The next time an AI-generated image appears, one might ask: Is it real, or does it carry the invisible signature of SynthID? Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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February 27, 2025in AI Tools, Artificial Intelligence, Generative AI Tools, Google, Technology
Scope of Generative AI
19Feb

Generative AI Game Changer for Cybersecurity

Generative AI: A Game Changer for Cybersecurity—Both Good and Bad Generative AI is revolutionizing cybersecurity, enabling both cybercriminals and defenders to operate faster, smarter, and at a larger scale. How Hackers Leverage GenAI Cybercriminals are using generative AI to: One real-world example: In early 2024, fraudsters used a deepfake of a multinational company’s CFO to trick an employee into transferring $25 million. How Cybersecurity Teams Use GenAI for Defense Enterprise security teams are adopting generative AI to: According to a 2024 CrowdStrike survey, 64% of cybersecurity professionals are already researching or using AI tools, with 69% planning to invest further within a year. The Risks of AI in Cybersecurity Despite its benefits, AI introduces new risks: Security leaders must balance AI adoption with human oversight to maximize its defensive potential while minimizing unintended risks. As AI continues to shape the cybersecurity landscape, both attackers and defenders must adapt to stay ahead. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 19, 2025in AI Tools, Data, Enterprise, Generative AI, Laws
deepseek deep dive
15Feb

DeepSeek iOS App Poses Major Privacy Risks

Security Alert: DeepSeek iOS App Poses Major Privacy Risks Cybersecurity researchers at NowSecure have issued a stark warning about the iOS version of DeepSeek, currently the third most popular app on the App Store. Their analysis reveals serious security flaws, making the app a major privacy risk that users should delete immediately. According to NowSecure’s findings, DeepSeek: Additionally, DeepSeek relies on ByteDance’s Volcano Engine, tying it to TikTok’s parent company, further raising privacy and regulatory concerns. For personal devices, this poses a significant security risk. For company-owned iPhones, the risks are even greater, especially regarding data privacy and compliance. US Regulators Take Action DeepSeek’s security risks have drawn scrutiny from U.S. lawmakers concerned about national security and data privacy. Representatives Josh Gottheimer (D-NJ) and Darin LaHood (R-IL) have introduced the No DeepSeek on Government Devices Act, seeking to ban the app from government-issued phones. While the full text of the bill is not yet available, legislators cite research indicating that DeepSeek’s code is “directly linked to the Chinese Communist Party” and capable of transmitting user data to China Mobile, a Chinese state-owned telecom firm sanctioned by the U.S. For those concerned about data security, the safest approach is to remove DeepSeek from your device and, if necessary, switch to a locally-run model that does not transmit data externally. HPE Warns Employees of Data Breach Meanwhile, Hewlett Packard Enterprise (HPE) has notified employees of a nation-state attack that may have compromised personal data. In a letter sent to staff, HPE disclosed that an unauthorized party accessed its cloud email environment, potentially exposing employee information. While the impact appears limited—only ten employees were affected, according to Massachusetts’ data breach report—the breach raises concerns about targeted cyberattacks on enterprise tech firms. HPE had previously disclosed a similar attack in January 2024, attributing it to Russia’s Cozy Bear hacking group, which is known for infiltrating high-profile networks. Reports suggest this latest breach also targeted Microsoft Office 365 accounts, highlighting ongoing threats to corporate cloud environments. Takeaway From DeepSeek’s security risks to HPE’s cyberattack, these incidents underscore the importance of data privacy, secure app usage, and robust enterprise security measures. Whether for personal or corporate security, staying informed and taking proactive steps is critical in today’s evolving digital landscape. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 15, 2025in Data, Enterprise, Laws
unpatched ai
05Feb

Unpatched.ai

The Mystery of Unpatched.ai: AI-Powered Vulnerability Discovery Raises Questions During January’s Patch Tuesday, Microsoft credited Unpatched.ai for reporting multiple high-severity vulnerabilities. Yet, despite its contributions, the AI-driven bug-finding tool remains an enigma to the cybersecurity community. Last month, Microsoft addressed 159 new vulnerabilities across its widely used products. Among them, Unpatched.ai was acknowledged for identifying three remote code execution flaws—CVE-2025-21186, CVE-2025-21366, and CVE-2025-21395—all of which affect Microsoft Access and received a CVSS score of 7.8. While Microsoft’s recognition highlights Unpatched.ai’s role in vulnerability discovery, little is known about the tool itself. Informa TechTarget reached out to multiple security vendors and experts for insights, but responses only deepened the mystery. A Cryptic Online Presence Unpatched.ai describes itself as “vulnerability discovery by an AI-guided cybersecurity platform” on its website. It provides a list of reported vulnerabilities, which consists solely of Microsoft-related flaws—primarily within Microsoft Access. The platform states that it collaborates with “select enterprise, government, and security vendors based in the U.S. and ally countries.” The company’s “About” page sheds some light on its mission, attributing its research to the need for greater transparency around unpatched software flaws: “We find unpatched issues in software to help customers better identify and manage cyber risk. Many issues are unknown or silently fixed by software vendors, hiding the true risk profile of their products. With the help of AI, we are developing an automated platform to help find and analyze these issues for our customers.” Beyond the website, Unpatched.ai maintains an X account, though much of its activity has been erased. A now-deleted post from January 29 warned that Microsoft’s patch for CVE-2025-21396 was insufficient. When contacted about the post, a Microsoft spokesperson responded, “We are aware of these reports and will take action as needed to help protect customers.” However, Microsoft did not provide additional background on Unpatched.ai. Attempts to reach Unpatched.ai directly have gone unanswered. Piecing Together the Puzzle Efforts to uncover more about Unpatched.ai yielded few concrete details. The domain was registered through Namecheap in September, with ownership masked by a privacy service based in Reykjavik, Iceland. Adam Barnett, lead software engineer at Rapid7, noted that beyond Unpatched.ai’s website, information is scarce. However, he identified a Reddit user, “Fit_Tie_9430,” who has claimed affiliation with the platform. This user shared details about Unpatched.ai’s vulnerability discoveries and linked to now-private YouTube videos demonstrating exploits against Microsoft Access vulnerabilities. Barnett pointed out that Unpatched.ai was also credited for a December Patch Tuesday flaw, CVE-2024-49142. Initially published without attribution, Microsoft later updated the advisory to acknowledge Unpatched.ai’s discovery. Interestingly, the Unpatched.ai website’s favicon—a simple “:)” emoticon—appears to reference the Windows Blue Screen of Death’s “:(” symbol. “It’s a nice touch,” Barnett said, “but I still don’t know who’s behind it. It could be just about anyone with the time, resources, and skills.” Other industry experts share the same uncertainty. Satnam Narang, senior staff research engineer at Tenable, observed that Unpatched.ai’s X account follows only a handful of infosec professionals. “It’s unclear if the service is still in a closed-door phase and will eventually provide more insights about its leadership and team, or who may be backing it,” he said. Alon Yamin, co-founder and CEO of Copyleaks, noted that an AI-driven vulnerability discovery platform was inevitable given the surge in software flaws. While AI can be a game-changer for proactive threat detection, he cautioned against potential misuse. “It’s crucial that Unpatched.ai is deployed carefully, responsibly, and ethically, with safeguards to prevent attackers from exploiting the vulnerabilities it identifies,” Yamin said. The Future of AI-Powered Bug Hunting AI-driven vulnerability discovery is an emerging focus in cybersecurity, though few major breakthroughs have been publicly confirmed. In November, Google announced it had discovered a zero-day vulnerability using AI. Google Project Zero and DeepMind’s AI-powered agent, Big Sleep, identified a buffer stack underflow flaw in the SQLite open-source database engine. With Unpatched.ai making waves yet remaining elusive, the cybersecurity community is left with more questions than answers. Is this the beginning of a new era in AI-powered vulnerability research, or is Unpatched.ai an outlier? Until more information surfaces, the mystery remains. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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February 5, 2025in Data, Enterprise, Google, Laws
deepseek deep dive
05Feb

Deep Dive into DeepSeek

DeepSeek: The AI Lab Turned Controversial Global Player You know we have to write about anything AI related that is making waves. And DeepSeek is definitely doing that. On April 14, 2023, High-Flyer announced the launch of a dedicated artificial general intelligence (AGI) lab, focused on AI research independent of its financial business. This initiative led to the incorporation of DeepSeek on July 17, 2023, with High-Flyer as its primary investor and backer. DeepSeek’s Breakthrough and the Debate on AI Development DeepSeek quickly gained attention in the AI world, with former India IT Minister Rajeev Chandrasekhar highlighting its impact. He stated that DeepSeek’s success reinforced the idea that better datasets and algorithms—rather than increased compute capacity—are the key to advancing AI capabilities. National Security Concerns: Hidden Risks in DeepSeek’s Code Despite its technological achievements, DeepSeek is now at the center of global controversy. Cybersecurity experts have raised serious concerns about the tool’s potential data-sharing links to the Chinese government. According to a report by ABC News, DeepSeek contains hidden code capable of transmitting user data directly to China. Ivan Tsarynny, CEO of the Ontario-based cybersecurity firm Feroot Security, conducted an analysis of DeepSeek’s code and discovered an embedded function that connects user data to CMPassport.com—the online registry for China Mobile, a state-owned telecommunications company. Key Concerns Raised by Cybersecurity Experts: Global Backlash and Regulatory Actions DeepSeek’s security concerns have sparked international scrutiny. Several governments and organizations have moved swiftly to restrict or ban its use: John Cohen, a former acting Undersecretary for Intelligence and Analysis at the U.S. Department of Homeland Security, described DeepSeek as one of the most blatant cases of suspected Chinese surveillance. He emphasized that it joins a growing list of Chinese tech firms identified as potential national security threats. The Future of DeepSeek DeepSeek’s rapid rise and subsequent scrutiny reflect the broader tensions between AI innovation and national security. As regulators worldwide assess its risks, the company’s future remains uncertain—caught between technological breakthroughs and growing geopolitical concerns. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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February 5, 2025in AI Tools, Data
computer hackers in a genai desert
19Jan

How Hackers Exploit GenAI

Hackers are increasingly leveraging generative AI (GenAI) to execute sophisticated cyberattacks, with real-world incidents highlighting its growing role in cybercrime. In early 2024, fraudsters used a deepfake of a multinational firm’s CFO to trick a finance employee into transferring $25 million—a stark example of how GenAI is reshaping cyber threats. Experts warn this is just the beginning. Here’s how cybercriminals are using GenAI to their advantage: 1. Crafting Advanced Phishing & Social Engineering Attacks GenAI-powered tools like ChatGPT enable hackers to generate professional-grade phishing emails that closely mimic corporate communications. These emails, now nearly flawless in grammar and formatting, are far more convincing to targets. Additionally, GenAI can: 2. Writing & Enhancing Malicious Code Just as developers use GenAI to accelerate coding, cybercriminals use it to: This automation fuels a rise in zero-day attacks, where vulnerabilities are exploited before developers can patch them. 3. Identifying Vulnerabilities at Scale GenAI accelerates the discovery of security weaknesses by: With GenAI, cybercriminals can scale and refine their tactics faster than ever. 4. Automating Target Research & Attack Planning Hackers use GenAI to: While mainstream AI tools have built-in safeguards, threat actors find ways to bypass them, using alternative AI models or dark web resources. 5. Lowering the Barrier to Cybercrime GenAI democratizes cyberattacks by: This increased accessibility means more people—beyond seasoned cybercriminals—can launch effective cyberattacks. The Hidden Risk: AI-Powered Coding in Enterprises The security risk of GenAI isn’t limited to adversarial use. Businesses adopting AI-powered coding tools may unintentionally introduce vulnerabilities into their systems. Joseph Nwankpa, director of cybersecurity initiatives at Miami University’s Farmer School of Business, warns: The Takeaway While GenAI offers groundbreaking advancements, it also amplifies cyber threats. Organizations must remain vigilant—investing in AI security measures, strengthening human oversight, and educating employees to counter AI-powered attacks. The race between AI-driven innovation and cybercrime is just getting started. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 19, 2025in AI Tools, Enterprise, Generative AI, Laws
Scope of Generative AI
07Jan

Exploring Generative AI

Like most employees at most companies, I wear a few different hats around Tectonic. Whether I’m building a data model, creating and scheduing an email campaign, standing up a platform generative AI is always at my fingertips. At my very core, I’m a marketer. Have been for so long I do it without eveven thinking. Or at least, everyuthing I do has a hat tip to its future marketing needs. Today I want to share some of the AI content generators I’ve been using, am looking to use, or just heard about. But before we rip into the insight, here’s a primer. Types of AI Content Generators ChatGPT, a powerful AI chatbot, drew significant attention upon its November 2022 release. While the GPT-3 language model behind it had existed for some time, ChatGPT made this technology accessible to nontechnical users, showcasing how AI can generate content. Over two years later, numerous AI content generators have emerged to cater to diverse use cases. This rapid development raises questions about the technology’s impact on work. Schools are grappling with fears of plagiarism, while others are embracing AI. Legal debates about copyright and digital media authenticity continue. President Joe Biden’s October 2023 executive order addressed AI’s risks and opportunities in areas like education, workforce, and consumer privacy, underscoring generative AI’s transformative potential. What is AI-Generated Content? AI-generated content, also known as generative AI, refers to algorithms that automatically create new content across digital media. These algorithms are trained on extensive datasets and require minimal user input to produce novel outputs. For instance, ChatGPT sets a standard for AI-generated content. Based on GPT-4o, it processes text, images, and audio, offering natural language and multimodal capabilities. Many other generative AI tools operate similarly, leveraging large language models (LLMs) and multimodal frameworks to create diverse outputs. What are the Different Types of AI-Generated Content? AI-generated content spans multiple media types: Despite their varied outputs, most generative AI systems are built on advanced LLMs like GPT-4 and Google Gemini. These multimodal models process and generate content across multiple formats, with enhanced capabilities evolving over time. How Generative AI is Used Generative AI applications span industries: These tools often combine outputs from various media for complex, multifaceted projects. AI Content Generators AI content generators exist across various media. Below are good examples organized by gen ai type: Written Content Generators Image Content Generators Music Content Generators Code Content Generators Other AI Content Generators These tools showcase how AI-powered content generation is revolutionizing industries, making content creation faster and more accessible. I do hope you will comment below on your favorites, other AI tools not showcased above, or anything else AI-related that is on your mind. Written by Tectonic’s Marketing Operations Director, Shannan Hearne. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 7, 2025in AI Tools, Data, Enterprise, Generative AI, Google, Technology
ChatGPT Memory Announced
02Jan

OpenAI ChatGPT Prompt Guide

Mastering AI Prompting: OpenAI’s Guide to Optimal Model Performance The Art of Effective AI Communication OpenAI has unveiled essential guidelines for optimizing interactions with their reasoning models. As AI systems grow more sophisticated, the quality of user prompts becomes increasingly critical in determining output quality. This guide distills OpenAI’s latest recommendations into actionable strategies for developers, business leaders, and researchers seeking to maximize their AI results. Core Principles for Superior Prompting 1. Clarity Over Complexity Best Practice: Direct, uncomplicated prompts yield better results than convoluted instructions. Example Evolution: Why it works: Modern models possess sophisticated internal reasoning – trust their native capabilities rather than over-scripting the thought process. 2. Rethinking Step-by-Step Instructions New Insight: Explicit “think step by step” prompts often reduce effectiveness rather than enhance it. Example Pair: Pro Tip: For explanations, request the answer first then ask “Explain your calculation” as a follow-up. 3. Structured Inputs with Delimiters For Complex Queries: Use clear visual markers to separate instructions from content. Implementation: markdown Copy Compare these two product descriptions: — [Description A] — [Description B] — Benefit: Reduces misinterpretation by 37% in testing (OpenAI internal data). 4. Precision in Retrieval-Augmented Generation Critical Adjustment: More context ≠ better results. Be surgical with reference materials. Optimal Approach: 5. Constraint-Driven Prompting Formula: Action + Domain + Constraints = Optimal Output Example Progression: 6. Iterative Refinement Process Workflow Strategy: Case Study: Advanced Techniques for Professionals For Developers: python Copy # When implementing RAG systems: optimal_context = filter_documents( query=user_query, relevance_threshold=0.85, max_tokens=1500 ) For Business Analysts: Dashboard Prompt Template:“Identify [X] key trends in [dataset] focusing on [specific metrics]. Format as: 1) Trend 2) Business Impact 3) Recommended Action” For Researchers: “Critique this methodology [paste abstract] focusing on: 1) Sample size adequacy 2) Potential confounding variables 3) Statistical power considerations” Performance Benchmarks Prompt Style Accuracy Score Response Time Basic 72% 1.2s Optimized 89% 0.8s Over-engineered 65% 2.1s Implementation Checklist The Future of Prompt Engineering As models evolve, expect: Final Recommendation: Regularly revisit prompting strategies as model capabilities progress. What works today may become suboptimal in future iterations. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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January 2, 2025in Data
Artificial Intelligence (AI) is significantly transforming threat detection by enabling faster, more accurate identification of potential security breaches through its ability to analyze vast amounts of data in real-time, detect anomalies and patterns that might indicate a threat, even when those threats are new or previously unknown, thus providing a proactive approach to cybersecurity compared to traditional rule-based systems.
16Dec

AI is Transforming Threat Detection

Artificial Intelligence (AI) is significantly transforming threat detection by enabling faster, more accurate identification of potential security breaches through its ability to analyze vast amounts of data in real-time, detect anomalies and patterns that might indicate a threat, even when those threats are new or previously unknown, thus providing a proactive approach to cybersecurity compared to traditional rule-based systems.

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December 16, 2024in AI Tools, Data, Enterprise, Generative AI, Salesforce, Technology
Transforming Healthcare with Salesforce CRM For healthcare providers, adopting a CRM platform like Salesforce Health Cloud is invaluable for managing vast amounts of patient data effectively. Health Cloud empowers healthcare professionals to create personalized, one-to-one patient journeys, enabling a deep understanding of each patient’s needs, medical history, and preferences. This approach not only fosters a patient-friendly experience but also builds a strong rapport, ensuring that patients feel valued and understood. Health Cloud also facilitates seamless collaboration among healthcare providers across different departments. When patients require support from multiple professionals, the platform ensures coordinated, comprehensive care that considers their complete medical history. This collaborative approach strengthens patient trust and streamlines operations, demonstrating a provider’s commitment to patient-centered care. As healthcare organizations strive to meet rising patient expectations, Salesforce is at the forefront of driving transformative changes. Leveraging Salesforce cloud solutions allows providers to manage patient data efficiently, deliver higher-quality care, and turn industry challenges into opportunities for improvement. Salesforce CRM has significantly boosted patient engagement and satisfaction within the healthcare sector. By automating repetitive, manual tasks, Salesforce CRM enables healthcare professionals to devote more time to patient care. Tools like Patient Management Software
03Dec

2025 Life Sciences Industry Outlook: What’s Next?

The life sciences industry is poised for significant evolution in 2025 as it navigates a dynamic landscape shaped by digital transformation, competitive pressures, business volatility, and shifting customer needs. Despite potential challenges, industry leaders remain optimistic about growth in the coming year. Deloitte’s recently released 2025 Life Sciences Outlook, published on December 10, 2024, offers a comprehensive overview of the trends and forces expected to shape the industry in the upcoming year. Drawing from a global survey of life sciences executives conducted by the Deloitte U.S. Center for Health Solutions, the report highlights key focus areas that will drive transformation and innovation. Key Trends Shaping the Life Sciences Industry in 2025 1. Digital Transformation Digital transformation continues to be a cornerstone of growth and innovation for the life sciences sector. Executives anticipate accelerated adoption of digital tools, with particular emphasis on: To stay ahead, life sciences companies are investing in transformative technologies, robust cybersecurity, and digital tools that enhance R&D, employee productivity, and customer engagement. 2. Competitive Pressures The competitive landscape in 2025 will be shaped by several key challenges: To address these pressures, companies are focusing on innovation, expanding their portfolios, and targeting profitable disease areas. Strategies include improving R&D productivity, enhancing clinical trial diversity, leveraging real-world evidence, and aligning M&A activities with corporate objectives. 3. Business Volatility Economic and regulatory uncertainties are adding layers of complexity to the business environment. Key drivers of business volatility include: To mitigate these risks, life sciences companies are optimizing operating models, enhancing supply chain resilience, and implementing global risk mitigation strategies to safeguard operations against unforeseen disruptions. 4. Evolving Customer Needs The rise of personalized medicine and digital adoption among patients is transforming customer expectations. Advances in genomics, biomarkers, and precision medicine are enabling companies to deliver more effective treatments with fewer side effects. In response to these shifts, life sciences firms are prioritizing customer-centric strategies by: As one senior executive from a German pharmaceutical company explained, “With advances in genomics and biomarkers, we can provide patients with more precise treatment options. This not only improves efficacy but also significantly reduces side effects, allowing patients to have a better treatment experience.” Outlook for 2025 Despite challenges, the outlook for the life sciences industry in 2025 remains positive. With 75% of surveyed executives expressing optimism, the sector is positioned for growth driven by innovation, strategic investment, and a commitment to addressing evolving market demands. As the industry continues to adapt to internal and external pressures, its ability to leverage digital transformation, overcome competitive challenges, and meet shifting customer needs will define its success in the year ahead. The 2025 Life Sciences Outlook underscores the importance of proactive strategies, forward-thinking investments, and adaptability in navigating this transformative era. By embracing these trends, life sciences companies can position themselves for sustainable growth and innovation in the years to come. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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December 3, 2024in Generative AI, Life Sciences Cloud, Salesforce Development Services, Salesforce Health and Life Sciences Solutions

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