Battle-Test Your Agents, Models & MCP Workflows
Automated adversarial testing that discovers vulnerabilities your standard security tools miss. Stress-test at scale, strengthen with confidence.
Compatibility
Integration & Deployment
OpenAI API compatibility
Anthropic API compatibility
Custom model endpoints via REST API
LangChain framework compatibility
LlamaIndex framework compatibility
Challenge & Resolution
Hidden Vulnerabilities Bypass Standard Testing
Traditional testing methods catch less than 30% of AI-specific vulnerabilities. Every undetected weakness is a potential breach waiting to happen. AI Red Teaming assesses the security and resilience of the AI models your business depends on and offers expert recommendations to address discovered vulnerabilities.
Risk-Based Vulnerability Discovery
We prioritize vulnerabilities based on potential impact and exploit probability, so you can efficiently address the most critical threats.
Actionable Security Intelligence
We don't just find vulnerabilities—we provide specific remediation guidance that your development and security teams can implement immediately.
Powered by Advanced Attack Simulation
Our testing methodology combines automated adversarial techniques with human-crafted attack scenarios based on real-world exploitation patterns.
Key Features
Automated Attack Simulation Suite
Here’s how the suite functions.
Threat Detection and Mitigation
- Jailbreak & Safety Testing
Validate safety filters against prohibited content
- Prompt Injection Detection
Test instruction resistance to manipulation attempts
- System Prompt Protection
Secure confidential instructions from exposure
- Jailbreak & Safety Testing
Data Privacy Validation
- PII Leakage Detection
Identify potential sensitive data exposure
- Fraud Simulation Testing
Validate resistance to social engineering
- Malicious Output Prevention
Filter harmful payloads in responses
- PII Leakage Detection
Model Integrity Verification
- Hallucination Detection
Assess factual reliability and accuracy
- Denial of Service Testing
Evaluate performance under stress
- Disinformation Prevention
Block false information generation
- Hallucination Detection
Analytics and Reporting
- Centralized Attack Monitoring
Unified view of simulation results
- Vulnerability Trend Analysis
Track risk patterns over time
- Security Posture Scoring
Quantified model security assessment
- Centralized Attack Monitoring
OWASP Framework Alignment
Industry-Standard Security Testing
Built on OWASP Top 10 for LLMs
Prompt Injection
Insecure Output Handling
Training Data Poisoning
Model Denial of Service
Insecure Plugin Design
Excessive Agency
Overreliance
Model Theft
Supply Chain Vulnerabilities
Sensitive Information Disclosure
Stop Threats Before They Start
Discover Agentic AI vulnerabilities before attackers do.