Caze CodeSecAI
Application aware AI Agent for Code Security!
Caze CodeSecAI is an application aware AI agent for Code Security (SAST and DAST). It integrates seamlessly with existing security tools and re-consolidates and re-prioritize the security vulnerabilities specific to the application. It also provides automated code for remediating the security issues.
The threat analysis is done based on the application specific attributes
AI Driven re-consolidation and re-prioritization of threats for the given application
Direct code scan from repositories and integrates with tools like github
Automatic code fixes and generate patches for integration (example - it raises PRs to github)
Caze CodeSecAI supports integration with third-party tools for security testing and code analysis (like sonarqube, snyk and more)
Supports Dynamic (DAST) and Static (SAST) testing. Can add any custom security code testing.
Integrated threat simulation to discover threats from the code to ensure high level of security
Local AI models are deployed to save cost and ensure high data security
Can add new test capabilities and rules to analyse the code security
CodeSecAI can be used to fine tune the code security test specific to industry domains like healthcare, financial, education and more. The specific attributes and hardening rules can be added which in turn will be used to consolidate, prioritize and finalize the indexes of the vulnerabilities and threats
Many of the existing code security tools provide general code level testing and security reports. Many of these issues may not be applicable for the application or the priority may depend on the application attributes and deployment models. Caze CodeSecAI can filter and provide the applicable security threats specific to the application
Users do want the security code analysis in private within the organization or the data center. Local AI model support in Caze CodeSecAI helps to do the code analysis and fixes locally.
As we can run Caze CodeSecAI on CPU/entry level GPUs based on the performance expectations, the deployment cost and resource requirements are low. The overall cost can be fine-tuned based on the final requirements.
Proactive, deep security significantly lowers the chance of costly data breaches and operational disruptions.
Provides auditable, granular security controls demonstrating commitment to protecting the code. Ensures the Critical systems remains available and reliable, supporting continuous operation (Protection from DOS, Ransomware and more).
Our collaboration models are flexible and rely on mutual value creation. This enables us to find suitable timeline, costing and deliverable to resolve the customer challenges.
Our industry associations, research and technology engagements make our products and solutions up-to-date to ensure the competency and at the same time, simplified.
We utilize AI and Security research to the best and enhance the capability of our products and solutions. This is natural as we have a dedicated verticals for AI and Security research.