Specialized security assessment for AI-powered applications, covering prompt injection, model manipulation, data leakage, and emerging AI-specific vulnerabilities.
Request AssessmentAI and LLM applications introduce entirely new attack surfaces that traditional security testing doesn't cover. Our specialized assessments identify vulnerabilities unique to generative AI systems, from prompt injection to model theft and data poisoning.
We follow the OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework, and emerging AI security best practices to protect your AI investments.
A cutting-edge approach to AI security evaluation
We map your AI system architecture including model types, data flows, integrations, and trust boundaries.
Systematic prompt injection, jailbreak attempts, and adversarial inputs to bypass safety guardrails and extract sensitive information.
Evaluation of training data handling, model storage security, API protection, and potential model extraction risks.
Detailed report with AI security risks, attack demonstrations, and practical mitigation strategies tailored to your AI use case.
Malicious inputs that manipulate LLM behavior to bypass instructions, access unauthorized data, or execute unintended actions.
Attackers extracting sensitive information from training data through carefully crafted prompts or model inversion attacks.
LLM plugins or tool integrations that execute arbitrary code, access sensitive systems, or perform unauthorized actions.
Resource-intensive prompts designed to overwhelm models, causing service degradation or excessive API costs.
Missing or bypassable content filters, safety checks, and output validation leading to harmful or inappropriate outputs.
Supply chain attacks through compromised models, weights, or fine-tuning processes introducing backdoors or biases.
Comprehensive analysis of AI-specific vulnerabilities with risk ratings based on potential business impact.
Proof-of-concept examples showing successful prompt injections, jailbreaks, and other AI-specific exploits.
Practical recommendations for prompt hardening, input validation, output filtering, and AI security controls.
Customized guidelines for secure AI development, deployment, and ongoing monitoring of your AI applications.
Get started with a free 15-minute security snapshot to identify AI-specific security risks.
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