
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.
Announcing the release of Cortex 1.5 and DevSecOps 2.1.2 with Model Context Protocol (MCP) and Binary Analyzer updates. We have improved both products with exceptional capabilities to help you be more productive, while at the same time, achieve additional security isolation of vulnerable binaries.
๐ค 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.
๐ก๏ธ 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.
๐ค 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.
๐ก๏ธ 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.
๐งช 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.
๐ Teamwork: Power pack – Fivos Allagiotis, Shreya Srirama, Ashwini Managuli, Darshil Kikani, Atharva Date, Rahul Bijoor, Aditi Deolekar, Tanisha Badgujar and Jyothsna Lade and our advisors Adam Paulisick, Mahadev Satyanarayanan and Gopal Hegde.
Team Pervaziv AI


