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GitHub Copilot Autofix
14Aug

GitHub Copilot Autofix

On Wednesday, GitHub announced the general availability of Copilot Autofix, an AI-driven tool designed to identify and remediate software vulnerabilities. Originally unveiled in March and tested in public beta, Copilot Autofix integrates GitHub’s CodeQL scanning engine with GPT-4, heuristics, and Copilot APIs to generate code suggestions for developers. The tool provides prompts based on CodeQL analysis and code snippets, allowing users to accept, edit, or reject the suggestions. In a blog post, Mike Hanley, GitHub’s Chief Security Officer and Senior Vice President of Engineering, highlighted the challenges developers and security teams face in addressing existing vulnerabilities. “Code scanning tools can find vulnerabilities, but the real issue is remediation, which requires security expertise and time—both of which are in short supply,” Hanley noted. “The problem isn’t finding vulnerabilities; it’s fixing them.” According to GitHub, the private beta of Copilot Autofix showed that users could respond to a CodeQL alert and automatically remediate a vulnerability in a pull request in just 28 minutes on average, compared to 90 minutes for manual remediation. The tool was even faster for common vulnerabilities like cross-site scripting, with remediation times averaging 22 minutes compared to three hours manually, and SQL injection flaws, which were fixed in 18 minutes on average versus almost four hours manually. Hanley likened the efficiency of Copilot Autofix in fixing vulnerabilities to the speed at which GitHub Copilot, their generative AI coding assistant released in 2022, produces code for developers. However, there have been concerns that GitHub Copilot and similar AI coding assistants could replicate existing vulnerabilities in the codebases they help generate. Industry analyst Katie Norton from IDC noted that while the replication of vulnerabilities is concerning, the rapid pace at which AI coding assistants generate new software could pose a more significant security issue. Chris Wysopal, CTO and co-founder of Veracode, echoed this concern, pointing out that faster coding speeds have led to more software being produced and a larger backlog of vulnerabilities for developers to manage. Norton also emphasized that AI-powered tools like Copilot Autofix could help alleviate the burden on developers by reducing these backlogs and enabling them to fix vulnerabilities without needing to be security experts. Other vendors, including Mobb and Snyk, have also developed AI-powered autoremediation tools. Initially supporting JavaScript, TypeScript, Java, and Python during its public beta, Copilot Autofix now also supports C#, C/C++, Go, Kotlin, Swift, and Ruby. Hanley also highlighted that Copilot Autofix would benefit the open-source software community. GitHub has previously provided open-source maintainers with free access to enterprise security tools for code scanning, secret scanning, and dependency management. Starting in September, Copilot Autofix will also be made available for free to these maintainers. “As the global home of the open-source community, GitHub is uniquely positioned to help maintainers detect and remediate vulnerabilities, making open-source software safer and more reliable for everyone,” Hanley said. Copilot Autofix is now available to all GitHub customers globally. 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 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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August 14, 2024in Data, Enterprise, Generative AI, Laws
AI Infrastructure Flaws
08Aug

AI Infrastructure Flaws

Wiz Researchers Warn of Security Flaws in AI Infrastructure Providers AI infrastructure providers like Hugging Face and Replicate are vulnerable to emerging attacks and need to strengthen their defenses to protect sensitive user data, according to Wiz researchers. AI Infrastructure Flaws come from security being an afterthought. During Black Hat USA 2024 on Wednesday, Wiz security experts Hillai Ben-Sasson and Sagi Tzadik presented findings from a year-long study on the security of three major AI infrastructure providers: Hugging Face, Replicate, and SAP AI Core. Their research aimed to assess the security of these platforms and the risks associated with storing valuable data on them, given the increasing targeting of AI platforms by cybercriminals and nation-state actors. Hugging Face, a machine learning platform that allows users to create models and store datasets, was recently targeted in an attack. In June, the platform detected suspicious activity on its Spaces platform, prompting a key and token reset. The researchers demonstrated how they compromised these platforms by uploading malicious models and using container escape techniques to break out of their assigned environments, moving laterally across the service. In an April blog post, Wiz detailed how they compromised Hugging Face, gaining cross-tenant access to other customers’ data and training models. Similar vulnerabilities were later identified in Replicate and SAP AI Core, and these attack techniques were showcased during Wednesday’s session. Prior to Black Hat, Ben-Sasson, Tzadik, and Ami Luttwak, Wiz’s CTO and co-founder, discussed their research. They revealed that in all three cases, they successfully breached Hugging Face, Replicate, and SAP AI Core, accessing millions of confidential AI artifacts, including models, datasets, and proprietary code—intellectual property worth millions of dollars. Luttwak highlighted that many AI service providers rely on containers as barriers between different customers, but warned that these containers can often be bypassed due to misconfigurations. “Containerization is not a secure enough barrier for tenant isolation,” Luttwak stated. After discovering these vulnerabilities, the researchers responsibly disclosed the issues to each service provider. Ben-Sasson praised Hugging Face, Replicate, and SAP for their collaborative and professional responses, and Wiz worked closely with their security teams to resolve the problems. Despite these fixes, Wiz researchers recommended that organizations update their threat models to account for potential data compromises. They also urged AI service providers to enhance their isolation and sandboxing standards to prevent lateral movement by attackers within their platforms. The Risks of Rapid AI Adoption The session also addressed the broader challenges associated with the rapid adoption of AI. The researchers emphasized that security is often an afterthought in the rush to implement AI technologies. “AI security is also infrastructure security,” Luttwak explained, noting that the novelty and complexity of AI often leave security teams ill-prepared to manage the associated risks. Many organizations testing AI models are using unfamiliar tools, often open-source, without fully understanding the security implications. Luttwak warned that these tools are frequently not built with security in mind, putting companies at risk. He stressed the importance of performing thorough security validation on AI models and tools, especially given that even major AI service providers have vulnerabilities. In a related Black Hat session, Chris Wysopal, CTO and co-founder of Veracode, discussed how developers increasingly use large language models for coding but often prioritize functionality over security, leading to concerns like data poisoning and the replication of existing vulnerabilities. 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 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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August 8, 2024in Salesforce
Salesforce Sandboxes Explained
08Jul

Salesforce Sandboxes Explained

What is a Salesforce Sandbox? A Salesforce Sandbox is a duplicate of your live production environment, offering a safe and isolated space for developers and administrators to test new features, configurations, and code changes. This environment ensures that you can experiment without affecting your live data, allowing for thorough validation before changes are deployed to production. By mimicking the production setup, a sandbox helps identify and fix issues early, leading to more stable applications and a more reliable development process. Salesforce Sandboxes play a crucial role in ensuring the quality and functionality of applications. They provide a secure environment to conduct rigorous testing, allowing teams to catch errors and make improvements before affecting end users. This controlled environment fosters innovation while minimizing the risk of disruptions. Types of Salesforce Sandboxes Salesforce offers different sandbox types, each designed to meet various development and testing needs. Choosing the right sandbox depends on the scope and complexity of the project. 1. Developer Sandbox A Developer Sandbox is ideal for individual developers working on isolated tasks. It includes a copy of the production environment’s metadata but no actual data. This sandbox allows developers to build and test new features or configurations without impacting each other’s work. With daily refreshes, it provides an agile development environment for quick iterations. 2. Developer Pro Sandbox Similar to the Developer Sandbox, the Developer Pro Sandbox has more storage capacity and includes some data. This makes it suitable for larger development projects, where more comprehensive testing is required. It’s perfect for data-intensive tasks and collaborative development, allowing multiple developers to work on shared projects. 3. Partial Copy Sandbox A Partial Copy Sandbox includes all metadata and a sample of production data, making it useful for functional testing and user acceptance testing (UAT). It allows teams to validate application performance with real data, helping uncover data-specific issues. It can be refreshed every five days, providing an accurate testing environment without needing a full data set. 4. Full Copy Sandbox The most comprehensive option, a Full Copy Sandbox replicates the entire production environment, including all data and metadata. This sandbox is ideal for final testing, load testing, and staging before deployment. By mirroring production, it ensures that any changes or updates function seamlessly when deployed to live systems. How to Create a Sandbox in Salesforce How to Refresh a Sandbox in Salesforce Refreshing a sandbox updates it with the latest data and configurations from the production environment. Here’s how to do it: Salesforce Sandbox Templates Sandbox Templates allow you to define specific data and metadata to include in your sandbox. These templates ensure a more tailored environment for testing and development activities. 1. Developer Sandbox Template This template includes metadata from the production environment and is perfect for developers who don’t need production data, allowing them to focus on configurations and code. 2. Developer Pro Sandbox Template Similar to the Developer Sandbox Template but with more storage and data, this is suited for more complex projects requiring integration and quality assurance testing. 3. Partial Copy Sandbox Template Ideal for testing with actual data, this template allows you to include a subset of production data for validation and scenario-based testing. 4. Full Copy Sandbox Template A complete replica of your production environment, this template supports full-scale performance testing and final staging before deployment. Frequently Asked Questions By utilizing Salesforce Sandboxes, your team can ensure thorough development, testing, and training processes, leading to better performance and greater confidence in your Salesforce projects. 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 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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July 8, 2024in Salesforce
Migrating from Zoho to Salesforce
03Jun

Migrating from Zoho to Salesforce

Migrating from Zoho to Salesforce is a major undertaking that can significantly enhance a business’s CRM processes as it scales. To ensure a smooth transition, careful planning, data preparation, and execution are essential for accurate and efficient data transfer. In this guide, we’ll outline a step-by-step approach to migrating from Zoho to Salesforce, covering everything from pre-migration planning to post-migration follow-up. Step 1: Pre-Migration Planning 1. Evaluate Your Business RequirementsBegin by assessing your current and future CRM needs. Identify critical functionalities in Zoho that you depend on and determine which Salesforce features will either replace or enhance them. Consider: This evaluation ensures that Salesforce is configured to align with your business processes during the migration. 2. Assign a Project TeamForming a dedicated project team is crucial for a successful migration. Include stakeholders from various departments, designate a project manager to oversee the migration, and enlist CRM specialists familiar with both Zoho and Salesforce. You might also consider hiring a certified Salesforce consultant or partner to assist with technical aspects. 3. Backup Your DataBefore starting the migration, back up your data from Zoho. Export all relevant information, including: This backup ensures you have a complete copy in case any issues arise during the migration. Step 2: Preparing Salesforce for Migration 1. Customize Salesforce to Fit Your NeedsNow is the time to tailor Salesforce to reflect your existing business processes. Review the custom fields, objects, workflows, and automations in Zoho, replicating or enhancing them in Salesforce. Salesforce’s high customization level allows you to optimize your CRM for your team’s specific needs. 2. Set Up IntegrationsIf you’ve been using third-party tools integrated with Zoho, establish the corresponding integrations in Salesforce. The Salesforce AppExchange offers a range of integrations, from email marketing platforms to accounting systems. Ensure the necessary tools are connected before migrating your data. Step 3: Data Migration 1. Map Data FieldsTo facilitate accurate data transfer between Zoho and Salesforce, map your Zoho data fields to their Salesforce counterparts. For instance, “Account Name” in Zoho should correspond to “Account” in Salesforce. Create equivalent custom fields in Salesforce if they exist in Zoho. 2. Cleanse Your DataData cleansing is vital to ensure only relevant, accurate, and up-to-date information is migrated. Remove duplicates, outdated contacts, and incorrect data from Zoho. This step streamlines the migration process and enhances the quality of your Salesforce database. 3. Choose a Migration ToolSelect an appropriate tool for migrating data between CRMs, such as: Depending on your data’s complexity, choose a tool that provides additional support, such as mapping or automation features. 4. Perform a Test MigrationConduct a test migration using a subset of your data before proceeding with the full migration. This allows you to verify that everything transfers correctly and identify any issues with data formatting, relationships between objects, or custom fields. Adjust your mapping and migration processes based on the test results. Step 4: Full Data Migration Once you’re satisfied with the test migration results, proceed with the complete data migration from Zoho to Salesforce. This process may take time, depending on your data’s size and complexity, so plan for downtime or staggered migrations to minimize disruptions to your team’s workflow. Step 5: Post-Migration Setup and Testing 1. Validate Your DataAfter the full migration, verify that all data has been transferred accurately. Check for discrepancies between Zoho and Salesforce records, ensuring that relationships (e.g., contacts linked to accounts) remain intact. 2. Recreate Automation and WorkflowsRe-establish any automations, workflows, or triggers that were functioning in Zoho within Salesforce. Utilize Salesforce’s automation tools, like Process Builder or Flow, to replicate these processes. Adjust them as necessary to leverage Salesforce’s advanced capabilities. 3. Train Your TeamSuccessful migration extends beyond data transfer; it’s crucial to ensure your team is equipped to use Salesforce effectively. Conduct training sessions focused on new features and workflows, providing documentation or cheat sheets to facilitate adjustment. 4. Monitor System PerformancePost-migration, monitor your Salesforce instance for any performance issues or data inconsistencies. Make necessary adjustments and ensure that integrations are functioning as expected. Step 6: Post-Migration Follow-Up 1. Run Parallel OperationsConsider operating both systems in parallel for a brief period to confirm Salesforce is fully functional before phasing out Zoho. This allows your team to continue using Zoho if critical issues arise in Salesforce during the transition. 2. Optimize Your Salesforce InstanceOver time, identify opportunities to further customize and optimize Salesforce to meet your evolving needs. Regularly review workflows, automations, and reporting to fully utilize Salesforce’s advanced features. Who Should You Work With A successful migration from Zoho to Salesforce involves key stakeholders from various departments to ensure the new CRM setup aligns with company processes. Typical Migration Timelines The duration of a Zoho to Salesforce migration typically depends on your data’s complexity and the required customizations. For smaller businesses with straightforward CRM setups, the process may take 4 to 6 weeks, encompassing planning, data mapping, testing, and training. However, larger organizations with extensive custom fields, workflows, and third-party integrations may require 3 to 6 months. Allow ample time for thorough testing and validation to ensure data accuracy and system functionality before going live. User training and post-migration follow-up are also critical for a smooth transition. Conclusion Migrating from Zoho to Salesforce is a growth step in enhancing your company’s CRM capabilities and positioning it for future growth. By meticulously planning your migration, cleansing your data, and configuring Salesforce to meet your business requirements, you can facilitate a smooth transition and leverage Salesforce’s powerful features from day one. With the right preparation and support, your business will be well-equipped to scale, streamline operations, and achieve long-term success using Salesforce. If you need assistance with your migration, don’t hesitate to contact Tectonic for a quote. Content updated September 2024. 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

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June 3, 2023in Data, Mulesoft, Salesforce
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