AI Security & Red Teaming
Your AI Is a New Attack Surface
Every AI system you deploy is a potential vulnerability. Prompt injection, data exfiltration through AI, jailbreaking, adversarial inputs that cause misclassification, and AI hallucinations that erode user trust. Traditional security testing doesn't cover these risks. AI red teaming does — systematically probing your AI systems for weaknesses using the same techniques real attackers use.
What We Test
Prompt Injection & Jailbreaking
Systematic attempts to bypass your AI's safety guardrails, extract system prompts, override instructions, and manipulate outputs. We test every vector attackers use.
Data Leakage & Privacy
Test whether your AI can be tricked into revealing training data, PII, internal documents, or confidential information. Critical for regulated industries.
Adversarial Robustness
For computer vision and ML models — test resilience against adversarial inputs designed to cause misclassification, false negatives, or system failures.
Agent Safety & Control
For agentic AI systems — test whether agents can be manipulated into unauthorized actions, resource abuse, or cascading failures. Verify guardrails actually hold under pressure.
Our Process
1. Threat Model
Identify your AI system's attack surface and prioritize risks
2. Red Team
Systematic adversarial testing by our AI security specialists
3. Report
Detailed findings with severity ratings, proof-of-concept exploits, and remediation guidance
4. Harden
Implement fixes and re-test to verify vulnerabilities are closed
Use Cases & Industries
AI security risks are industry-specific. We tailor our red teaming to the threats that matter most in your sector.
Financial Services
Red team AI trading systems, fraud detection models, and customer-facing chatbots for prompt injection, data leakage, and adversarial manipulation.
Healthcare
Test clinical AI systems for safety — ensure they can't be manipulated into dangerous recommendations or leak patient data.
Government / Defense
Adversarial testing of AI systems handling classified or sensitive information, ensuring compliance with NIST AI RMF.
E-Commerce
Test product recommendation AI, pricing algorithms, and customer service bots for manipulation and bias.
SaaS / Tech Companies
Security audit of AI features before launch — prompt injection testing, data exfiltration checks, and abuse scenario modeling.
Insurance
Test claims processing AI for adversarial inputs that could approve fraudulent claims or deny legitimate ones.
Our Technology Stack
Red Teaming Tools
Custom prompt injection frameworks, Garak, PyRIT, adversarial ML toolkits
Vulnerability Scanning
Automated jailbreak detection, PII leakage scanners, guardrail bypass testing
Compliance Frameworks
NIST AI RMF, OWASP LLM Top 10, EU AI Act requirements, SOC 2 AI controls
Monitoring
Real-time attack detection, anomaly detection, AI firewall integration
Reporting
Detailed vulnerability reports with severity ratings, reproduction steps, and remediation guidance
Testing Infrastructure
Isolated test environments, automated regression testing, CI/CD security gates
Engagement Models
Choose the engagement model that fits your security needs and timeline.
Security Assessment
Rapid evaluation of your AI system's attack surface — deliver vulnerability report with prioritized remediation roadmap.
Full Red Team Engagement
Comprehensive adversarial testing across all attack vectors — prompt injection, data leakage, jailbreaking, adversarial inputs, and agent safety.
Continuous Security
Ongoing red teaming as your AI systems evolve — automated regression testing, new attack vector monitoring, and quarterly manual assessments.