AI Security & Red Teaming
As AI models power critical business systems, understanding their vulnerabilities is essential. We conduct rigorous red team exercises, prompt injection testing, and safety evaluations to help you build AI systems that are robust, reliable, and aligned with your company's values.
AI Security FAQ
What is AI red teaming?
A process of adversarial testing to find vulnerabilities, prompt injection risks, and unintended behaviors in AI/LLM systems.
Who needs AI security services?
Startups, product teams, and anyone deploying AI-powered products that need to be robust, safe, and aligned with business goals.
What do you deliver?
Comprehensive reports, remediation guidance, and ongoing support to help you build secure, reliable AI systems.
What We Offer
LLM Red Teaming
Systematic adversarial testing to identify prompt injection vulnerabilities, jailbreaks, and unintended behaviors in language models before they reach production.
Model Safety Evaluation
Comprehensive assessment of guardrail effectiveness, output filtering, and robustness against adversarial prompts and domain-specific attacks.
Jailbreak & Prompt Injection Analysis
Identification of attack vectors and techniques that could compromise your AI system, with remediation paths and hardening recommendations.
AI Security Consulting
Strategic guidance on AI security architecture, threat modeling, and best practices for integrating LLMs safely into your product.
Typical Engagement
Scoping Call: We discuss your AI architecture, models in use, and specific security concerns.
Red Team Plan: We design a testing methodology tailored to your threat model and use cases.
Testing & Analysis: Systematic testing, finding documentation, and proof-of-concept demonstrations.
Remediation Roadmap: Detailed findings, risk prioritization, and actionable recommendations.
Ready to Secure Your AI Systems?
Let's discuss your AI security needs and build a testing strategy that works for you.
Request a Consultation