AI Adversarial Testing for Secure AI Systems
Continuously test, break, and strengthen your AI before attackers do. Enterprise-grade red teaming powered by adversarial intelligence.
Why AI Red Teaming
Our AI systems face sophisticated adversarial threats. Proactively identify vulnerabilities before they become breaches.
Prompt Injection
Test defenses against malicious prompt manipulation and injection attacks.
Jailbreak Attempts
Identify weaknesses in guardrails and content safety filters.
Data Leakage
Detect unintended exposure of training data or sensitive information
Model Manipulation
Evaluate resilience against adversarial inputs that alter model behavior.
Agent Tool Abuse
Assess risks of autonomous agents misusing connected tools and APIs.
Multi-Turn Attacks
Simulate complex conversational attacks that bypass single-turn defenses.
Why Security Teams Choose Vigilnz for AI Red Teaming
Operational adversarial testing engineered for production GenAI systems.
Operational AI Red Teaming at Scale
Structured multi-stage adversarial campaigns that simulate real-world exploit chains across prompts, policies, and agent workflows.
Dynamic Attack Generation
AI-native engine generating context-aware attacks tailored to your prompts, guardrails, and runtime behavior.
Exploit Intelligence with Remediation
Behavioral exploit mapping, severity scoring, and clear remediation guidance in one unified workflow.
Continuous AI Risk Monitoring
CI/CD integration and scheduled adversarial campaigns to track model drift and regression over time.