Identity Verification Archives - gettectonic.com
Whoever cracks reliable, scalable atomic power first could gain an insurmountable edge in the AI arms race.
28May

How AI Can Strengthen Healthcare Cybersecurity

How AI Can Strengthen Healthcare Cybersecurity: Key Insights from H-ISAC As cyber threats grow more sophisticated, healthcare organizations must leverage artificial intelligence (AI) to enhance cybersecurity defenses—particularly in digital identity verification and fraud detection, according to a new Health Information Sharing and Analysis Center (H-ISAC) white paper. The Rising Threat: AI-Powered Cyberattacks Cybercriminals are increasingly using AI to craft advanced attacks, such as: H-ISAC warns that while attackers exploit AI for malicious purposes, healthcare Chief Information Security Officers (CISOs) should also focus on AI-driven defense strategies. 3 Key Ways AI Can Secure Healthcare Systems 1. AI-Powered Identity Verification Healthcare organizations can use AI to:✔ Analyze security features on identity documents (e.g., driver’s licenses, passports)✔ Detect deepfakes in remote job interviews and meetings using liveness detection✔ Flag suspicious applicants by cross-referencing IP addresses, device data, and known fraud databases “Fraud detection systems using AI can review an individual’s IP address, device information, and other metrics to spot anomalous behavior.” — H-ISAC 2. Automating Identity Governance & Access Control Managing hundreds of digital identities with varying access levels is a major challenge. AI can streamline Identity Governance and Administration (IGA) by:✔ Automating access certifications (reducing manual review burdens)✔ Customizing role-based access controls based on job functions✔ Ensuring compliance with regulatory requirements (e.g., HIPAA) “For managers overseeing large groups, AI-driven automation can save hours of manual access reviews.” 3. Phishing & Social Engineering Defense AI enhances threat detection by:✔ Identifying phishing emails with unnatural language patterns✔ Detecting fraudulent callers in healthcare call centers✔ Blocking social engineering attempts before breaches occur The Bottom Line: AI as a Cybersecurity Force Multiplier “AI is here to stay. Attackers will continue to leverage it for harm, but defenders can use the same technology to protect critical systems.” — H-ISAC Key Takeaways for Healthcare CISOs ✅ Deploy AI-driven identity verification to combat deepfakes & fraud.✅ Automate IGA processes to improve compliance & efficiency.✅ Use AI-enhanced monitoring to detect phishing & social engineering. By adopting AI-powered cybersecurity tools, healthcare organizations can stay ahead of evolving threats while safeguarding sensitive patient data. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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May 28, 2025in Artificial Intelligence, Data, Salesforce, Salesforce Health and Life Sciences Solutions, Technology
Salesforce Data Cloud Hits $900M in Revenue
18Mar

The Future of Real-Time Customer Intelligence

Salesforce Data Cloud Today: The Future of Real-Time Customer Intelligence Imagine a CRM That Knows Your Customers Better Than You Do The future of real-time customer intelligence is here now. What if your CRM could:✔️ Track every customer interaction in real time—purchases, social media activity, support tickets✔️ Predict their next move before they make it✔️ Automatically trigger hyper-personalized marketing, sales, and service actions that deliver incredible experiences That’s Salesforce Data Cloud (formerly known as Salesforce Genie)—an AI-powered Customer Data Platform (CDP) that turns raw data into real-time customer intelligence. Why Data Cloud is The Future of Real-Time Customer Intelligence Businesses today are drowning in data but starving for insights. Traditional CRMs rely on outdated, siloed information—leading to missed opportunities and generic customer experiences. Salesforce Data Cloud solves this by:🔹 Unifying data from every source (CRM, eCommerce, IoT, social media, third-party apps)🔹 Resolving duplicates into a single, dynamic customer profile🔸 Predicting behavior with Einstein AI to automate next-best actions🔺 Acting in real time—no more batch processing delays Example: Starbucks-Level Personalization (Without the Big Data Team) Starbucks uses a CDP to track your orders, app usage, and location to send personalized offers when you’re near a store.With Data Cloud, any business—big or small—can do the same. Generic communication is so 2020. Get with the times with Salesforce Data Cloud! How Salesforce Data Cloud Works (2025 Edition) 1. Data Ingestion: Bring Every Customer Signal Together Data Cloud connects:✔️ Salesforce records (Leads, Cases, Opportunities)✔️ External platforms (Shopify, Google Analytics, Meta Ads)✔️ IoT & live streams (smart devices, chatbots, in-store sensors) Example: A retailer tracks online purchases, in-store visits, and support chats—all in one profile. 2. Identity Resolution: No More Duplicate or Messy Data Ever had “John Smith” in your system five times? Data Cloud’s AI:✔️ Merges duplicates into one accurate profile✔️ Unifies all interactions (website visits, emails, purchases) 3. Real-Time Segmentation: Instant Customer Groups Forget manual reports—Data Cloud auto-creates segments like:🎯 “High-value customers who haven’t bought in 30 days”🎯 “Mobile app users at risk of churning” Example: A travel agent spots VIP clients searching for luxury trips and sends a personalized offer within seconds. 4. AI-Powered Actions: The Brain Behind the Scenes Einstein AI analyzes data and recommends:📞 Sales: “Call this lead now—90% chance to convert!”✉️ Marketing: “Send a discount—they’re price-sensitive.”🛠️ Service: “Their device is malfunctioning—proactively offer help.” Imagine the power at your fingertips with a CDP that intuitively advises next best actions with data-driven insights! Real-World Use Cases (2025 Success Stories) 1. Hyper-Personalized Retail Experiences ❌ Problem: A faurniture brand’s online & offline data were siloed, leading to generic promotions.✅ Solution: Data Cloud unifies: 2. Smarter B2B Sales Engagement ❌ Problem: A SaaS company lost deals because reps didn’t know the best time to follow up.✅ Solution: Data Cloud tracks: 3. Predictive Customer Service (Banking & Healthcare) ❌ Problem: Customers only reported issues when it was too late.✅ Solution: Data Cloud detects:🏦 Banking: “Unusual login attempt → Freeze account & text customer”🏥 Healthcare: “Missed prescription refill → Send automated reminder”📈 Result: 50% fewer escalations Why Old-School CRM Can’t Compete Traditional CRM Salesforce Data Cloud Static, siloed data Real-time unified profiles Manual segmentation AI-driven auto-segmentation Batch processing Instant triggers & actions Generic experiences Hyper-personalized engagement Think of it like upgrading from a flip phone to an AI assistant. How to Get Started in 2025 1️⃣ Check Compatibility (Available in Unlimited, Performance, Enterprise+ editions)2️⃣ Connect Key Data Sources (Start with Marketing Cloud, eCommerce platforms)3️⃣ Define Priority Segments (e.g., repeat buyers, at-risk customers)4️⃣ Automate Actions (Use Salesforce Flow + Einstein AI) 💡 Pro Tip: Pilot with one department (e.g., marketing) before scaling. The Future of Data Cloud (Beyond 2025) 🔮 Voice & AR Integration – Customers ask a voice assistant for help, and Data Cloud instantly pulls their full history.🔒 Blockchain-Powered Security – Decentralized identity verification to prevent fraud.🤖 AI-Generated Content – Einstein crafts personalized emails, ads, and product recs dynamically. Is Salesforce Data Cloud Worth It? ✅ For Marketers: 1:1 personalization at scale✅ For Sales Teams: Close deals faster with AI insights✅ For Service Teams: Solve issues before customers complain The future of CRM is real-time, AI-driven, and frictionless.Are you still relying on static data? Contact Tectonic to upgrade! Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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March 18, 2025in Data, Enterprise, Google, Google Analytics, Salesforce, Salesforce Data Cloud, Salesforce Flow
Cyber Insurance
26Nov

Cyber Insurance

Navigating Cyber Insurance in an Evolving Threat Landscape The rapidly shifting cyberthreat landscape presents unique challenges for healthcare organizations and underwriters navigating cyber insurance coverage decisions. Cyber liability insurance plays a crucial role in shielding healthcare providers from the mounting costs associated with data breaches and cyberattacks, which now average $9.77 million per incident in the healthcare sector, according to IBM. The Challenges of Retaining Cyber Insurance Healthcare, among other heavily targeted sectors, faces difficulties in securing and maintaining affordable cyber insurance. The constantly evolving threat landscape impacts risk profiles, which drives up premiums and complicates coverage retention. Although year-over-year premium growth plateaued in the U.S. in 2023, 79% of respondents in a Delinea survey still reported increased insurance costs, with 67% experiencing premium hikes between 50% and 100%. As high-profile healthcare cyberattacks and increasing cyber risks persist, navigating the insurance landscape remains a significant challenge. Additionally, the lag in processing claims makes it difficult to anticipate how underwriters will respond to these changing threats. How the Evolving Threat Landscape Impacts Cyber Insurance Obtaining adequate cyber insurance coverage can be challenging in today’s risk-heavy environment. Unlike traditional insurance, where risks remain static, cyber risks constantly evolve to counteract security controls. “Cyber insurance risk adjusters face a unique challenge; unlike fires, which aren’t actively trying to burn you in new ways, cyberthreats are constantly adapting to bypass existing protections,” said Christopher Henderson, senior director of threat operations at Huntress. This continuous adaptation often means that by the time underwriting is complete, a risk assessment may already be outdated. Shifts in the threat landscape are driving changes in cyber insurance questionnaires. While in 2023 insurers focused on remote access tools, vulnerability management, and administrative access controls, the focus in 2024 shifted to include multifactor authentication (MFA) and identity-based attack prevention. This shift highlights the need for organizations to adapt to new requirements in cyber insurance as cybercriminals add new tactics to their playbooks. Adapting Insurance to Emerging Threats As cyberthreat tactics evolve, insurers may adjust policy terms to keep pace with the latest risks. Henderson suggests that insurers could move toward shorter underwriting cycles, possibly even six-month periods, to better align with the rapidly shifting cyber landscape. Mitigating Risk and Controlling Cyber Costs Several factors influence cyber insurance premiums, including organizational size and security posture. For healthcare providers, adhering to industry standards like SOC 2 and ISO 27001 can demonstrate compliance with best practices, improving coverage terms and potentially lowering premiums. Healthcare organizations using the NIST Cybersecurity Framework (CSF) as their primary security standard reported lower premium increases compared to those without this framework, according to a 2024 report by KLAS Research, Censinet, and the American Hospital Association. Henderson emphasizes the importance of layering new strategies with proven, traditional ones: “While staying vigilant against newer tactics like social engineering and identity-based attacks, maintaining consistent, auditable identity verification and MFA protocols remains crucial.” Despite upfront costs, cyber insurance can significantly reduce financial impact during cybersecurity incidents. For example, a 2024 Sophos report found that organizations with cyber insurance saw an average ransomware recovery cost of $2.94 million compared to $3.48 million for those without coverage. Navigating cyber insurance can be complex for healthcare organizations, but careful attention to risks and proactive security measures can help them secure the right coverage at sustainable rates. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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November 26, 2024in Data
AI and Big Data
31Aug

AI and Big Data

Over the past decade, enterprises have accumulated vast amounts of data, capturing everything from business processes to inventory statistics. This surge in data marked the onset of the big data revolution. However, merely storing and managing big data is no longer sufficient to extract its full value. As organizations become adept at handling big data, forward-thinking companies are now leveraging advanced analytics and the latest AI and machine learning techniques to unlock even greater insights. These technologies can identify patterns and provide cognitive capabilities across vast datasets, enabling organizations to elevate their data analytics to new levels. Additionally, the adoption of generative AI systems is on the rise, offering more conversational approaches to data analysis and enhancement. This allows organizations to extract significant insights from information that would otherwise remain untapped in data stores. How Are AI and Big Data Related? Applying machine learning algorithms to big data is a logical progression for companies aiming to maximize the potential of their data. Unlike traditional rules-based approaches that follow explicit instructions, machine learning systems use data-driven algorithms and statistical models to analyze and detect patterns in data. Big data serves as the raw material for these systems, which derive valuable insights from it. Organizations are increasingly recognizing the benefits of integrating big data with machine learning. However, to fully harness the power of both, it’s crucial to understand their individual capabilities. Understanding Big Data Big data involves extracting and analyzing information from large quantities of data, but volume is just one aspect. Other critical “Vs” of big data that enterprises must manage include velocity, variety, veracity, validity, visualization, and value. Understanding Machine Learning Machine learning, the backbone of modern AI, adds significant value to big data applications by deriving deeper insights. These systems learn and adapt over time without the need for explicit programming, using statistical models to analyze and infer patterns from data. Historically, companies relied on complex, rules-based systems for reporting, which often proved inflexible and unable to cope with constant changes. Today, machine learning and deep learning enable systems to learn from big data, enhancing decision-making, business intelligence, and predictive analysis. The strength of machine learning lies in its ability to discover patterns in data. The more data available, the more these algorithms can identify patterns and apply them to future data. Applications range from recommendation systems and anomaly detection to image recognition and natural language processing (NLP). Categories of Machine Learning Algorithms Machine learning algorithms generally fall into three categories: The most powerful large language models (LLMs), which underpin today’s widely used generative AI systems, utilize a combination of these methods, learning from massive datasets. Understanding Generative AI Generative AI models are among the most powerful and popular AI applications, creating new data based on patterns learned from extensive training datasets. These models, which interact with users through conversational interfaces, are trained on vast amounts of internet data, including conversations, interviews, and social media posts. With pre-trained LLMs, users can generate new text, images, audio, and other outputs using natural language prompts, without the need for coding or specialized models. How Does AI Benefit Big Data? AI, combined with big data, is transforming businesses across various sectors. Key benefits include: Big Data and Machine Learning: A Synergistic Relationship Big data and machine learning are not competing concepts; when combined, they deliver remarkable results. Emerging big data techniques offer powerful ways to manage and analyze data, while machine learning models extract valuable insights from it. Successfully handling the various “Vs” of big data enhances the accuracy and power of machine learning models, leading to better business outcomes. The volume of data is expected to grow exponentially, with predictions of over 660 zettabytes of data worldwide by 2030. As data continues to amass, machine learning will become increasingly reliant on big data, and companies that fail to leverage this combination will struggle to keep up. Examples of AI and Big Data in Action Many organizations are already harnessing the power of machine learning-enhanced big data analytics: Conclusion The integration of AI and big data is crucial for organizations seeking to drive digital transformation and gain a competitive edge. As companies continue to combine these technologies, they will unlock new opportunities for personalization, efficiency, and innovation, ensuring they remain at the forefront of their industries. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 31, 2024in Data, Enterprise, Generative AI, Google, Salesforce, Technology
Constituent Service Toolkit in Public Sector Solutions
10Apr

Constituent Service Toolkit in Public Sector Solutions

Explore the array of tools and components tailored for caseworkers, case managers, and other professionals to comprehend constituents’ needs and deliver exceptional customer service. Constituent Service Toolkit in Public Sector Solutions Public Sector Solutions offers a comprehensive suite of components, tools, and features designed to enhance the efficiency of caseworkers and other staff in addressing constituents’ concerns and issues. These tools provide valuable context for interactions with constituents and streamline actionable tasks, offering flexibility for customization to address diverse scenarios. Constituent Service Toolkit in Public Sector Solutions Whether handling inquiries about business license applications, social service benefits, or managing complaints and child welfare concerns, these tools empower users to efficiently navigate and resolve constituent service issues. Public Sector Solutions goes a step further by presenting a curated selection of these tools on a dedicated Lightning record page, facilitating a seamless start for users in utilizing these resources. Customize the page according to your agency’s specific needs, with limitless possibilities. Constituent Service Toolkit: Elevate customer service for constituents by providing tools that enhance the efficiency and effectiveness of caseworkers, case managers, and other users. Complete Common Service Tasks in Context with Action Launcher: Empower intake agents, caseworkers, and other users to access common service tasks through the Action Launcher Lightning web component. This tool allows users to perform tasks such as identity verification, referral intake, email communication, or call logging with a simple menu selection. Tailor the Action Launcher to meet specific needs and integrate it into frequently accessed record detail pages for quick and context-aware responses to constituent concerns. Protect Constituent Privacy and Reduce Fraud with Identity Verification and Audit Trail: Prioritize constituent privacy by implementing a flow to verify their identity before sharing sensitive information. Agents and service representatives can initiate this flow during phone calls, through messaging channels, or in person. Utilize the Audit Trail to monitor engagement interactions, analyze patterns, and detect potential fraud associated with identity verification. Receive Alerts on Records That Need Action: Stay informed about account and application records requiring attention with the Record Alerts component. Caseworkers, application reviewers, and other users receive notifications about person accounts, business accounts, or individual application records that demand action. The component organizes alerts by categories like type, priority, and severity, allowing users to dismiss or snooze alerts as needed. Deliver Service to Constituents from a Dedicated Account Lightning Record Page: Enhance caseworkers’ efficiency by providing relevant information and service tools through a dedicated Lightning record page for accounts. Key details about constituents are showcased through the Account card and Timeline component. The Action Launcher and Alerts components enable users to initiate common service actions and address pending record alerts. The Interaction Summary tab allows users to document notes from conversations and engagements with constituents. Create Start-to-Finish Automation to Address Service Requests from Constituents with Service Process Studio: Leverage Service Process Studio to design automated processes that efficiently respond to service requests from constituents, from intake to resolution. Utilize data attributes, OmniScript forms, Apex classes, and record-triggered flows to create automation for processing service requests, including tasks like updating a constituent’s address. Integration definitions enable seamless connectivity between service processes and external systems. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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April 10, 2024in Public Sector Solutions, Salesforce Implementation Services
Legacy Salesforce URL Redirection Retires
31Mar

Legacy Salesforce URL Redirection Retires

Legacy Salesforce URL Redirection Retires – Salesforce Announcement Security Notification At Salesforce, we understand that the confidentiality, integrity, and availability of your data is vital to your business, and we take the protection of your data very seriously. We’re writing to remind you that redirections for some of your Salesforce orgs’ URLs stop in the Winter ’25 release, starting in August 2024 for sandboxes and in September 2024 for production orgs. We highly encourage you to test for this change and update all references to your previous URLs before those redirections stop. Security Notification Why the Change? To comply with the latest browser and security standards, Salesforce recently required that customers deploy enhanced domains. This feature updated the hostname formats for the domains that serve Salesforce orgs. To reduce the impact of this change, your previous hostnames are redirected by default. However, to meet Salesforce security standards, some of the previous domains will be retired in 2024. The corresponding redirections stop in the Winter ’25 release. Why the Change? Actions Required Review the affected hostnames and how you can disable the redirections for testing. For details, see Prepare for the End of Redirections for Non-Enhanced Domains in Salesforce Help. Additional Resources Salesforce Enhanced Domains FAQSalesforce Help: Prepare for the End of Redirections for Non-Enhanced DomainsSalesforce Help: Log My Domain Hostname RedirectionsSalesforce Help: Enhanced Domains TimelineTo ask questions about enhanced domains, visit our monitored My Domain and Enhanced Domains group in the Trailblazer Community.We appreciate your trust in us as we continue to make your success and security our top priorities. Additional Resources Legacy Salesforce URL Redirection Retires Prepare for the End of Redirections for Non-Enhanced Domains After enhanced domains are deployed, your previous non-enhanced hostnames are redirected. Those redirections stop in Winter ’25, starting in August 2024 for sandboxes.. Review the affected hostnames and how you can disable the redirections to test before Salesforce disables them. REQUIRED EDITIONS Available in: both Salesforce Classic (not available in all orgs) and Lightning Experience Available in: Group, Essentials, Professional, Enterprise, Performance, Unlimited, and Developer Editions After enhanced domains are deployed, Salesforce redirects two categories of non-enhanced hostnames. To see if redirections are in place for a previous My Domain, check the Redirections section of the My Domain Setup page. NOTE My Domain URL redirections help prevent disruption, but they’re not intended as a permanent solution. Not all services work well with redirections, and a redirection adds a step to the process of loading the final web page. When you deploy enhanced domains, we highly recommend that you disable redirections during testing and update all references to your old URLs. Track the Source of Redirections You can search the metadata for your org to determine where the impacted URLs are used in Salesforce, but discovering all the other places that your URLs are used can be more complex. For example, site URLs and content URLs can be used on your website, social media pages, marketing materials, and templates such as email signatures and automated responses. To help you identify these locations outside of Salesforce, the Hostname Redirects log includes the referrer and origin sent with each request that Salesforce redirects. For more information, see Log My Domain Hostname Redirections. Notify Users During Redirections To help your users update outdated links and bookmarks, display a brief message during the redirection that provides the current URL. See Manage My Domain Redirections. Previous *.force.com Site Hostnames When you enable and deploy enhanced domains, the hostname formats change for your Experience Cloud sites and Salesforce Sites. To minimize potential disruption, the *.force.com hostnames that Salesforce hosted for your sites are redirected to your current site hostnames. Those redirections remain in place until Winter ’25 or until you disable these redirections. To disable these redirections for testing purposes, use an option in the Redirections section of the My Domain page and test. For more information, see Disable Redirections for Your Previous Force.com Site URLs. For the replacement format for each of these hostnames, see My Domain URL Format Changes When You Enable Enhanced Domains. To better understand the purpose of each hostname type and whether it applies to you, see My Domain Hostnames. Here are the *.force.com site hostnames for a production org that are temporarily redirected after you enable and deploy enhanced domains. Here are the .*force.com site hostnames for a sandbox that are temporarily redirected after you enable and deploy enhanced domains. Other Non-Enhanced My Domain Hostnames When you enable and deploy enhanced domains, your other previous non-enhanced My Domain hostnames are redirected. Those redirections remain in place until Winter ’25 or until you disable these redirections. For the type and the replacement format for each of these hostnames, see My Domain URL Format Changes When You Enable Enhanced Domains. To better understand the purpose of each hostname type and whether it applies to you, see My Domain Hostnames. NOTE If you deploy another My Domain change after you enable and deploy enhanced domains, these hostnames are no longer redirected. For more information, see Understand Redirections for Previous My Domain Hostnames. To disable the redirections of these non-enhanced My Domain hostnames for testing purposes, you can temporarily disable your previous My Domain. For more information, see Disable or Remove Your Previous My Domain. Here are the non-enhanced hostnames for a production org that are temporarily redirected after you enable and deploy enhanced domains. Here are the non-enhanced hostnames for a sandbox that are temporarily redirected after you enable and deploy enhanced domains. 1 If your installed package is unmanaged, the package name is c. Instanced URLs Without My Domain If your org was created before October 2020, you didn’t get a My Domain by default. In that case, your users accessed Salesforce with these hostnames that contained your instance name but not your My Domain name. These hostnames are redirected if the Instanced URL setting in the Redirections section on the My Domain Setup page is set to Redirect to the same page within the domain

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March 31, 2024in Hyperforce, Salesforce, Salesforce Experience Cloud
Salesforce Education Cloud Explained
18Aug

Salesforce Education Cloud Explained

It’s back to school time. And there is no better time to discuss Salesforce Education Cloud! Powering the Learner Lifecycle with Pre-Built Apps Boost productivity with ready-to-use, customizable apps tailored for every stage of the learner journey. Instant Analytics and Intelligence Gain real-time insights to deliver personalized support for prospects, students, and alumni, right at your fingertips. Learner-Centric Data Foundation Accelerate your start with education-specific objects, logic, and automation built on the world’s leading CRM platform. Core Capabilities for Your Entire Institution Enhance the impact of faculty and staff with versatile features like scheduling and case management, adaptable across any department. Education Cloud: The AI-Driven CRM for Education Transform the educational experience with the #1 AI-powered CRM designed for learner and institutional success. Discover the key features of Education Cloud, which accelerates time to value for institutions of all sizes, making it easier to create personalized experiences for every lifelong learner. The Impact of Education Cloud Source: Forrester Total Economic Impact Report How Education Cloud Works Education Cloud offers comprehensive tools for various institutional needs, from managing households and relationships to scheduling appointments and supporting academic operations. Core Capabilities of Education Cloud Education Cloud is designed with flexibility to meet the evolving needs of your institution. Built on a learner-centric data foundation, it scales with your growth and provides each department with essential capabilities to maximize impact across the entire institution. Featured Capabilities Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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August 18, 2023in Salesforce Education Cloud
Salesforce Whatsapp Integration
07Nov

New Salesforce Whatsapp Integrations

Salesforce has unveiled its roadmap for upcoming WhatsApp integrations tailored for marketing and service teams. WhatsApp, a widely-used mobile messaging app with over 2.2 billion monthly active users and a daily message count exceeding 100 billion, has demonstrated remarkable international reach, fostering instant and effective communication across borders without reliance on local telecom providers. New Salesforce Whatsapp Integrations While WhatsApp integration was not previously available as a standard feature in Salesforce, the recent partnership announcement at Dreamforce ’22 prompted swift action. The integration will harness the WhatsApp Business Platform API, a cloud-based service provided by Meta (WhatsApp’s owner) for businesses at no cost in 2022. This API enhances end-to-end experiences, streamlining scalable business processes. For Salesforce + WhatsApp in Service: WhatsApp for Service can be utilized through Digital Engagement, an add-on for Service Cloud. Also Salesforce’s Contact Center for Communications within Communications Cloud. WhatsApp for Service Cloud is expected to be generally available (GA) starting March 16, 2023. For Salesforce + WhatsApp in Marketing: The WhatsApp for Marketing Cloud Rich Media support is anticipated to be generally available (GA) in the second half of 2023. As consumer demand for WhatsApp continues to surge, specialized integrations, like those tailored for Salesforce. By address the growing need for organizations to connect WhatsApp with their business-critical systems. The collaboration underscores Salesforce’s commitment to meeting evolving communication demands and leveraging the popularity of WhatsApp for enhanced customer interactions. Struggling to integrate WhatsApp in your Salesforce ecosystem? Tectonic can help. Like2 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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November 7, 2022in Data, Salesforce, Salesforce Managed Services, Salesforce Sales Cloud
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