Proactively uncover and remediate critical vulnerabilities in your LLMs and generative models before attackers exploit them.
Services
Generative AI Penetration Testing
Proactive, adversarial security testing for generative AI systems. We simulate real-world attacks to uncover critical vulnerabilities like prompt injection, jailbreaking, and data leakage before they are exploited, using frameworks like MITRE ATLAS.
ADVERSARIAL DEFENSE
Generative AI Penetration Testing
Generative AI introduces novel risks that traditional security tools miss. Our adversarial testing simulates real-world attacks to expose critical flaws like prompt injection, jailbreaking, and training data leakage.
We identify vulnerabilities that could lead to data breaches, compliance failures, or reputational damage, providing actionable remediation to secure your AI investments.
Our methodology is built on proven frameworks like MITRE ATLAS and includes:
- Comprehensive Attack Simulation: Testing for prompt injection, model manipulation, and data exfiltration.
- Jailbreak Resistance Assessment: Evaluating guardrail bypasses and harmful content generation.
- Supply Chain Analysis: Auditing third-party models, datasets, and deployment pipelines for poisoned inputs.
- Adversarial Example Testing: Crafting inputs designed to cause misclassification or unintended outputs.
We deliver more than a report. You receive:
- Prioritized Risk Findings: Clear, actionable vulnerabilities ranked by business impact.
- Proof-of-Concept Exploits: Demonstrable evidence of each critical finding.
- Remediation Roadmap: Step-by-step guidance to harden your AI systems.
- Executive Briefing: A concise summary for leadership on security posture and compliance status.
Secure your AI innovation. Protect against evolving threats with expert-led penetration testing. Explore our broader AI Red Teaming and Adversarial Defense services or learn about securing autonomous systems with AI Agent Goal Hijacking Defense.