Your teams are already using AI. We help you adopt it safely — governance, risk, secure deployment, LLM security, and adversarial testing.
A full lifecycle of AI security services for healthcare, government, and regulated organizations.
Establish oversight, accountability, and decision-making for AI — roles, approval workflows, inventories, and alignment to the NIST AI RMF and ISO/IEC 42001 concepts.
Identify and prioritize risks across AI/ML systems — data exposure, bias, model misuse, third-party AI, and Shadow AI discovery.
Secure architecture and controls for deploying AI/LLM solutions — identity, data protection, segmentation, monitoring, and guardrails.
Assess LLM applications for prompt injection, data leakage, insecure plugins/integrations, and unsafe output handling — aligned to the OWASP Top 10 for LLM Applications 2026.
Practical, enforceable AI usage and acceptable-use policies, approval workflows, and clear employee guidance.
Adversarial testing of AI/LLM systems — jailbreaks, prompt injection, data exfiltration, and abuse scenarios — with risk-prioritized findings.
CyberNest Secure helps organizations use AI responsibly and securely. Engagements support risk reduction and governance maturity and do not guarantee compliance.
AI red teaming is delivered with NestGovAI, our own assessment platform: every attack runs twice — unguarded and guarded — so a finding shows which control would have stopped it.
From Shadow AI discovery to LLM red teaming, we help you adopt AI safely.
Talk to an AI Security Advisor