Release Notes
Cortex is released on VSCode Marketplace and DevSecOps platform is available on our hosted platform.
| Cortex 1.6 November 24, 2025 | Capturing Developer Tools! We have expanded Cortex to work with Visual Studio in addition to VSCode. This is the first and only Security and AI coding agent in the Marketplace! Developers can install Cortex in Visual Studio 2022 starting today. ✨ 🤖 Cortex 1.6: Developed the Visual Studio extension from the ground-up to be on parity with our VSCode product. Cortex chat interacts with Pervaziv-LLM to get you validated responses for your coding and security related questions. Cortex can run security scans, identify vulnerabilities, provide remediations and prioritize issues with Pervaziv AI’s categorizations. Cortex provides deeper insights into security issues with CWE, CVE, priority, and other metrics, along with a hierarchical view of issues sorted by priority. Cortex manages authentication and authorization, and users can save and restore chat sessions securely, request new code, or modify existing code from the chat interface. It delivers structured and unstructured outputs from our smart LLM backend and lets developers integrate suggestions seamlessly into their codebase. 🚀 🛡️ DevSecOps 2.2: We have enhanced our DevSecOps suite to support both frontend tools — VSCode and Visual Studio. Our architecture was designed to be extensible, allowing us to add additional tools with minimal effort. 🔧 🧪 Dev/Backend: Effortless authentication for users to log in with supported providers — GitHub, Okta, Azure EntraID, Google, Bitbucket, Cognito, Gitlab. We’ve developed build and release infrastructure that is extensible for deploying new features across both Marketplaces. ⚙️ 🤖 Pervaziv-LLM: No change needed! 🛡️ Pervaziv-Security/DB: No change needed! |
| DevSecOps 2.2 November 17, 2025 | No source code needed! We are thrilled to announce the launch of our brand new Package Analyzer ✨, a powerful tool designed to redefine how you handle software vulnerabilities. With this, we are also releasing our DevSecOps Suite 2.2 🚀. 🛡️ DevSecOps 2.2: Added custom AI scoring prioritized by Pervaziv AI, incorporating scores such as EPSS and CVSS published by NIST. This feature provides comprehensive scans and detailed reports to help you identify and understand potential threats. We can seamlessly scan Ubuntu, Debian, G.N.U and RPM based packages along with the embedded binaries within them 📦. We unpack, reconstruct binaries and provide a comprehensive analysis of the issues we find in these packages. We developed two new pages, one to add and list the users packages and another to view the scan reports of individual packages. |
| Cortex 1.5 and DevSecOps 2.1.2 November 10, 2025 | Future Begins Now! Cortex integrates MCP Agents for Github, Slack and Atlassian directly into the chat interface. Imagine the possibilities with smart insights from your Enterprise stack aiding coding and security workflows. 🤖 Cortex 1.5: Added dedicated MCP Agents for Github, Slack and Atlassian as our first set of integrations. These are powerful tools that can bring in additional insights into your coding and security workflows. Developed seamless authentication for MCP Agents with one-click addition of context to chat. Improved presentation of structured and unstructured responses from various backend tools in agentic responses. 🛡️ DevSecOps 2.1.2: New search feature to search across pages, projects and their respective available reports. Support for custom callbacks for agentic workflows. Analytics and metrics for users at individual, organizational and company level have been added. In addition, usability and security insights are also being tracked on a timely basis. Enhancements to registration database, error handling and bug fixes have been committed. 🤖 Pervaziv-LLM: Updated to latest, cost effective LLMs for backend agents. Stabilization of error code handling and cost calculations for workflows. Bug fixes in metadata storage in DB and cost tracking improvements have been made. 🛡️ Pervaziv-Security/DB: Standardized error handling across repositories with ability to improve reliability. Appropriate cost tracking for various scans – security, deep and ML based scans have been implemented based on resource usage and time spent running the workloads. 🧪 Dev/Backend: Added support to dynamically capture platform and user analytics on a regular basis. Binary Analysis is integrated closely with DevSecOps suite with a new improved page where users can initiate new analysis and view the reports once the process completes. Speed up end to end response times for analysis workflows. |
| DevSecOps 2.1.1 and Cortex 1.2 October 21, 2025 | Stats Overload! 1 Million Lines of Code, 1.5 Million YouTube Views, 35000 watch hours, 200000 visits/wk, 3700 Commits, 800 PRs, 500 Jira Stories, 30 Sprints, 50000 LinkedIn impressions, 2000 followers, 21 contributors. We’re only getting started! DevSecOps 2.1.1 and Cortex 1.2.0 are now available! We have updated both products with Agentic workflows with feedback from a large swath of users. 🤖 Cortex 1.1: With improved Agentic updates, users can get better answers. Added the ability to apply all suggested code fixes together in a file. Made several performance improvements and bug fixes. Slightly improved login experience. 🛡️ DevSecOps 2.1.1: Added enhancements to the user approval process. Additional resource metrics for usage are being tracked. Refactored backend to be more modular and improved asynchronous response times. 🤖 Pervaziv-LLM: Stabilized our Agentic LLM prompts to make them more reliable. Updated the backend LLMs to newer, leaner set of models. Updated our cost calculation algorithm to include additional details. 🛡️ Pervaziv-Security/DB: Updated scripts for accurate Git Analytics. 🧪 Dev/Backend: Updates to scalability testing to support agentic workflows from various sources. Updated Binary Analyzer to parse a larger set of binaries. Updated backend LLM to perform faster and be more cost effective. |
| DevSecOps 2.1 and Cortex 1.1 October 8, 2025 | 🛡️ DevSecOps 2.1: Our Console now has a page to support Binary Analysis. Added enhanced versions of Code Editors to make it seamless and user friendly for DevOps and Deep Scan pages. Made CWE/CVE references more accessible to users. 🤖 Cortex 1.1: Added additional providers and connectors to provide relevant answers to user’s queries. Option to scan large repositories now available in Premium and above subscriptions. Fixed a few bugs and added validations for input text. 🤖 Pervaziv-LLM: Scalability and connection reliability have been improved. Feasibility and comparisons were done with additional LLMs w.r.t their performance and cost (Report to be available soon!). Modified responses for code and chat related queries with optimizations on formatting/length and other usability parameters. 🛡️ Pervaziv-Security/DB: Enhanced Binary Analysis now available in Beta for Premium and above subscriptions. We use our innovative AI/ML approaches to look for vulnerabilities in binaries, no source code necessary! This is a feature some of our design partners asked for and we have delivered! 🧪 Dev/Backend: We have performed scalability testing with over 500 concurrent requests and users. We have a dedicated backend and test repositories to perform unit tests, end to end tests and scalability testing. More on these updates and a brand new scalable architecture to be announced in an upcoming release. |
| DevSecOps 2.0.1 and Cortex 1.0.7 September 10, 2025 | 🤖 Cortex: Integrated login and authentication from VSCode to our backend with active session management. Provided several ways to interact with the product – to chat, run scans, obtain code suggestions and apply fixes. Cortex chat works seamlessly with VSCode workflows. Users can now provide context in addition to their text chat for queries to Cortex. 🖥️ DevSecOps: Seamless authentication/authorization of users for backend providers along with security fixes. Revamped our Registration page with several updates. Provided users more control of scan and code remediation progress. Optimized vulnerability scanning and reporting. 🤖 Pervaziv-LLM: Revamped the secure LLM hosting infrastructure with several security and performance improvements. Improved the interoperability with a larger set of LLMs. Pervaziv-LLM can seamlessly handle chat and code remediation requests. Made several improvements to track usage and billing. Embedding updates have been made to improve our LLM responses. 🛡️ Pervaziv-Security: Fixed vulnerabilities and bugs. We are proactive in testing our scans on our own product!! Enhanced vulnerability coverage by including Infrastructure as Code (IaC) scan into SCA reports. Tracking of scans is integrated tightly with our product. 🧪 Dev Branches: We have a breakthrough in binary scanning and no-source code analysis using our innovative agentic LLM approach. We are able to reconstruct select binaries for vulnerability assessment and we plan to iterate and integrate this approach with our product. |
| DevSecOps 2.0 and Cortex 1.0 August 18, 2025 | Introducing our smart AI coding agent and our DevSecOps Platform! At Pervaziv AI, we’re thrilled to introduce two powerful new products. Cortex is your intelligent coding and security AI Agent, that can help you write new code, scan and remediate issues in existing code expeditiously. Cortex brings security and code insights directly into your favorite development environment. Say Hi to #Cortex, our smart AI coding agent and our #DevSecOps Platform! At Pervaziv AI, we’re thrilled to introduce two powerful new #products. #Cortex is your intelligent coding and security AI #Agent, that can help you write new code, scan and remediate issues in existing code expeditiously. #Cortex brings security and code insights directly into your favorite development environment. Next, we’re introducing our Unified #DevSecOps AI Platform, designed to give your entire team centralized visibility and control over your security posture. |
| DevSecOps 1.0.7 July 14, 2025 | 🔐 Pervaziv-ASPM: Includes new security snapshots, overall risk management with advanced AI-based risk filtering and classification, commit-based risk progression, dependency risk progression, and support for report download. Users can now personalize results by tagging vulnerabilities and remediations with specific actions and filtering based on those tags. We are enhancing all of the reports with AI and this differentiates us from other incumbent solutions. 🤖 Pervaziv-LLM: We have made enhancements to RAG embeddings to improve code inferencing, migrated to a faster embedding model provider with optimal storage, improved context provisioning with faster retrieval times and moved to newer versions of LLM libraries. 🛡️ Pervaziv-Security: Improved protections and added additional management options for product configurations and subscriptions. Speed and efficiency of report fetches have been improved. Several workflow enhancements have been added to manage production and developer modes of the product. Expanded vulnerability coverage with deeper insights into package vulnerabilities for projects using JavaScript package managers. Enabled optimal storage of reports for larger repositories. 🖥️ Pervaziv-UI: Updates include Code Editor enhancements to make it user-friendly, support additional editing functions, track symbol references etc. Project and report search functionality have been added with additional summarization views, dynamic adjustment of window sizes and content. 🔐 Pervaziv-Auth/DB: Azure-Repos and Gitlab projects are now supported in addition to Github and Bitbucket. Users can authenticate and add projects hosted in all of these repositories. This opens up our product to a prospective list of new customers 🌍 and enables them to integrate their DevOps workflows. Enterprise updates have been made to manage team-based subscriptions and payments. Introduced several new roles as part of the enterprise suite which allows for customized login processes, access controls, and visibility scopes. 🌐 External Contributions: Our patches for Meta’s Purplellama benchmark have been merged successfully and we look forward to further collaboration with several other open source projects. 🧪 Dev Branches: Our internal developer branches have received several contributions from our exceptional employees and interns for a well planned list of upcoming features that are on our roadmap. |
| DevSecOps 1.0.6 May 28, 2025 | Several Updates to – LLM 🤖, Security 🔐, Authentication 🔑, DB 🗄️, UI 🎨, Backend ⚙️, External Demos 🎬 and Open Source Contributions 🌐. The latest release includes several enhancements to pervaziv-llm, to make it more secure 🔐, more relevant 📌, with several validations for various operations ✅. We have added the capability to authenticate with additional providers such as Amazon Cognito ☁️, Atlassian Bitbucket 🧰 and Okta 🛡️. In addition to adding GitHub projects 🧑💻, users can now add Bitbucket projects, which was a big ask from several of our enterprise partners 💼. We have made payment processing 💳 even more seamless and integrated with our product and subscription packages. Several user experience ✨ and performance 🚀 enhancements were made to our UI, SCA, and SBOM feature set. Across the board, we have enhanced the security 🔒 of our product by ensuring the entire stack is free of vulnerabilities 🛠️. We have contributed back to the Open Source community 🌍 with our submissions to PurpleLlama benchmark. The changes include support for benchmarking the base and fine-tuned Gemini models 🧪. Our Q2 All-Hands meeting also included an exciting end-to-end demo 🎥 for our customers in our medical vertical 🏥. This is a shortened version of the features that went into the latest release and only work done in the last 6 weeks. |
| DevSecOps 1.0.5 April 7, 2025 | Retrieval Augmented Generation (RAG) 🤖, Software Component Analysis (SCA) 🧑💻 and Software Bill of Materials (SBOM) support 📜. We have made significant progress as a team and delivered on both AI/ML 🤖 and the Software Security 🔒 domains. SCA and SBOM features that were scheduled for later in our product lifecycle to be released in the current 1.0 v5 Release. Customers are now able to perform SCA related tasks along with vulnerability detection immediately 🔍. On the ML side of things, we went through several iterations and trials of LLM Optimizations. We added that capability to provide a cohesive view of vulnerability detection and perform SCA and SBOM analysis seamlessly 🔎. Our SCA, true to our nature, is AI-first, enhanced with our latest ML-based innovations to reduce false positives ❌ and false negatives ❌. In addition, we researched what industry-specific reports are being used for SBOM generation and incorporated Software Package Data Exchanges (SPDX) and CycloneDX formats for SBOM analysis and reports 📊. These standard formats will be familiar for customers who have used legacy SBOM tools and will find the AI enhancements quite valuable. Learn more about SPDX here and CycloneDX here. |
| DevSecOps 1.0.4 March 5, 2025 | We are also releasing the Pervaziv AI v4 version which now supports Amazon Web Services (AWS) along with Google Cloud and Microsoft Azure. No two LLMs behave the same when it comes to APIs, tuning parameters, token sizes, accuracy 🎯, F1 scores 📊, precision, recall, and most importantly their costs 💰. With our extensive research over the past year 📅, we have established a solid baseline and knowledge of the LLM landscape 🌍. We also understand that this is a fast-changing and evolving industry 🔄 and we are poised to keep abreast of the latest updates to all of the ground-breaking models 🔬. Cloud computing has been around for a while, but is incredibly complex to set up and to migrate applications across clouds 🌐. Our customers see value in the multi-cloud aspect of our software stack 🌍. On the other hand, some customers specifically asked for AWS support and we delivered on that promise ✅. We can now truly claim the multi-cloud aspect of Pervaziv AI that we set out to build initially. On the enterprise side, we have integrations with various software products such as Github 🐙, Stripe 💳, WordPress 🌐, Mitre 🛡️, and many others. We believe these integrations are crucial and build out our startup ecosystem 🏢. As we mature our software stack, we intend to build upon additional integrations to support wider use-cases. |
| DevSecOps 1.0.3 February 11, 2025 | 📈In terms of code contributions, we’ve achieved a monumental milestone with approximately 200,000 lines of code written! 😱 This is a massive effort from every single person on the team. We’ve committed 1783 individual commits – each one improving the functionality, security, or usability of the product. Additionally, we’ve merged 365 pull requests into the mainline codebase, all of which went through thorough, professional code reviews to ensure the highest level of quality. This process has allowed us to maintain a well-organized and secure codebase that’s scalable and efficient. 🔥 |
| DevSecOps 1.0.2 November 21, 2024 | This release has a gamut of updates – Security Enhancements, Database updates, Github/Cloud Integration updates, Subscription Management, Workflow automations, AI/ML and LLM enhancements and several bug fixes. |
| DevSecOps 1.0.1 September 19, 2024 | We are excited to announce the availability of the Beta version of Pervaziv AI 1.0. This release provides over 25 features to scan, remediate, build and deploy applications in a multi-cloud environment. After training on several thousands of vulnerability samples, our database is considerably large. Hence we are able to train, isolate and mitigate security issues in applications efficiently (more on the runtime performance in a soon to be released blog). Our vulnerability detection accuracy is about 430% better than traditional models. We have also made our inferencing much faster by using prompt optimizations. Our inferencing is up to 65% quicker than traditional models as shown in the figure below. We expect to improve our accuracy and performance soon. |
| Pervaziv AI Beta November 2023 – September 2024 | Super stoked to launch Pervaziv AI – https://pervaziv.com – where customers can build, deploy and run applications with exceptional security in a multi-cloud environment. Security hardening is provided by pretrained generative AI. During this time, we built out the Minimum Viable Product (MVP) after working with several enterprise customers in Med-devices, Medical Research, Fintech, Banking, Enterprise AI Platform, AI/ML SoC startup and others in the USA. We welcome you to sign up for a demo and request a trial of the beta product. Let us make software security a first priority for organizations and ensure that the world is secure – one line of code at a time! |