AI Security Assessment
A structured review of your AI systems, data pipelines, and MLOps toolchain against today's threats — data and model poisoning, adversarial evasion, model theft, and privacy leakage. You get a prioritized findings report with a clear remediation roadmap and quick wins you can act on now.
LLM & Generative AI Security
Chatbots, copilots, and agents introduce risks traditional security never faced. We secure them against the OWASP Top 10 for LLM Applications — prompt injection, sensitive-data disclosure, insecure output handling, excessive agency — with layered guardrails, output validation, and least-agency design.
AI Red-Teaming
The best way to trust your AI is to attack it first. We deliberately probe your models and applications — poisoning, adversarial inputs, jailbreaks, and prompt-injection chains — and hand you a clear report of what we broke and exactly how to fix it.
AI Governance & Compliance
Turn "responsible AI" into a program. We stand up practical AI governance — accountability, policy, risk assessment, and controls — mapped to the NIST AI Risk Management Framework, ISO/IEC 42001, and MITRE ATLAS, so your AI is defensible to leadership, customers, and regulators.