Secure Your LLMs. Prevent AI Breaches.
AI systems introduce unique vulnerabilities like data poisoning, prompt injection, and opaque model decisions. Don't risk the rising global average breach cost of $4.88 million.
AI Red Teaming
Adversarial testing against prompt injection & jailbreaks.
Model Integrity
Prevent data poisoning & supply chain attacks.
Compliance
Align with NIST AI RMF, EU AI Act, and OWASP LLM Top 10.
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Traditional Testing Fails:
The AI Attack Surface is Exploding
Standard security tools aren't built for probabilistic systems. AI introduces novel attack vectors that bypass traditional firewalls and scanners.
Novel Attack Vectors
Prompt Injection & Adversarial Inputs: Attackers craft inputs to subvert LLM instructions, extract internal data, or elicit prohibited output.
Data Integrity Risks
Data Poisoning & Backdoors: Malicious data injected into training sets can manipulate model behavior, creating hidden triggers.
The Human Element
Evolving Social Engineering: GenAI has turbo-charged phishing (1,200%+ increase). Automated scanners cannot simulate these creative attacks.
AI Red Teaming:
Adversarial Testing for GenAI
We go beyond standard pentesting to simulate adversarial attacks specifically targeting Large Language Models (LLMs) and ML pipelines.
AI (Machine Intelligence)
Provides breadth, speed, and continuous coverage. Excels at scanning thousands of endpoints and predicting defect hotspots. Reduces test planning from days to hours.
Human (Expert Intelligence)
Provides depth, strategy, and context. Skilled ethical hackers think like attackers, chain vulnerabilities, and prioritize findings by business impact.
Security Coverage Comparison
99.8%
Detection Rate
78%
Faster Remediation
24/7
Continuous Monitoring
Comprehensive AI Security Evaluation
Aligned with industry-recognized frameworks like PTES and OWASP.
Model Evaluation & Robustness
Assess resilience to adversarial inputs, prompt injection/jailbreak attempts, and risk of model inversion.
Data Pipeline Security
Simulate data poisoning attacks against training data and verify data provenance and supply chain integrity.
API and Interface Testing
Fuzzing inputs, identifying prompt injection flaws in conversational interfaces, and testing rate limits.
Infrastructure & Cloud Security
Examine GPU access, encryption of model artifacts, and credential hygiene in CI/CD pipelines.
Human Element Simulation
Conduct ethical social engineering campaigns mirroring modern generative AI-enhanced phishing tactics.
Governance & Compliance
Validate human oversight mechanisms and alignment with frameworks like NIST AI RMF and EU AI Act.
For Executives & C-Suite
ROI and Cost Avoidance: Proactive testing costs a fraction of the average $9.48 million breach cost.
- Ensure compliance with DORA & EU AI Act
- Protect brand reputation and customer trust
- measurable risk reduction
For Technical Leads
Methodology & Specificity: Adherence to PTES methodology with deep dives and clear remediation guidance.
- Integrates with CI/CD pipelines
- Validates model integrity & provenance
- Comprehensive API & microservices testing
Ready to Transform Security Anxiety into Measurable Resilience?
Get a personalized AI penetration testing program tailored to your specific models and infrastructure.
No credit card required. We'll email you to schedule.