Projects

Real-time adversarial input detection and filtering engine for production LLM deployments. Provides sub-millisecond classification of malicious prompts with configurable defense policies.

Comprehensive security testing framework for AI systems. Automated red-teaming, vulnerability scanning, and compliance verification against OWASP ML Top 10.

Knowledge base integrity verification system. Continuous monitoring and validation of training data pipelines to detect poisoning, drift, and unauthorized modifications.

Next-generation phishing detection engine leveraging behavioral analysis and linguistic fingerprinting to identify AI-generated phishing attempts across email, SMS, and web.

Interactive threat modeling platform specifically designed for AI and ML systems. Visual attack surface mapping with automated mitigation recommendations.

Runtime protection layer for deployed ML models. Monitors inference requests for adversarial patterns and provides automatic circuit-breaking and fallback mechanisms.