Solutions
C6 Guardrails is our active cybersecurity product — an LLM security gateway defending against OWASP Top 10 AI threats. Earlier research and hackathon projects are archived below for reference.
LLM security platform — proxies AI traffic and evaluates requests against OWASP LLM Top 10 2025 threats in real time.
C6 Guardrails
An LLM security platform that proxies AI traffic, evaluates requests against OWASP LLM Top 10 2025 threats, and provides real-time threat detection with a built-in management console and observability dashboard.
Archived Projects
Research, hackathon entries, and earlier security tools — preserved for reference.
LLM Guardian
A hierarchical, agentic security system that protects LLM applications against the OWASP Top 10 for LLM Applications 2025. Treats AI security and governance as three inseparable disciplines — protection, monitoring, and review — delivering all three through a self-motivated guardian that autonomously builds its own threat knowledge base over time.
Short intro demo
SOC Lite AWS
A 24/7 resident security operations AI agent deployed on AWS, designed to automate security event analysis, triage, escalation, and defence for AWS customers without dedicated security analysts. Powered by AWS Bedrock AgentCore and Amazon Nova Micro. AWS Hackathon entry.
Short intro demo
OpenSOC
A comprehensive AI-powered SOC management platform with advanced SOAR (Security Orchestration, Automation, and Response) capabilities for modern SOC operations. Harnesses 6 legendary AI Gems to give every admin ultimate control over cyber threats — with 100% local AI Security Agents that transform security professionals into cybersecurity superheroes. OpenAI Hackathon entry.
Short intro demo
OpenCodeReview
An agentic AI-powered source code review tool (Community Edition) built on the NVIDIA NeMo Agent Toolkit. Analyses code for security vulnerabilities against OWASP Top 10 2021, with multi-provider LLM support and automated AI QA review to reduce false positives. Silver Award — NVIDIA Hackathon 2025.
Short intro demo