AI Security & Governance
Your AI adoption is moving faster than your security posture.
Where this goes wrong today
Shadow AI
Employees and teams are adopting AI tools without security or IT ever signing off: Copilot, ChatGPT, custom LLM features, all outside your visibility.
LLM & data exposure risk
Sensitive data pasted into third-party AI tools, or exposed through internal AI integrations and APIs that were never security-reviewed.
No AI incident playbook
Your existing incident response process wasn't built for AI-specific failure modes: prompt injection, model data leakage, AI-generated phishing at scale.
Compliance blind spots
SOC 2, HIPAA, and PCI-DSS increasingly touch AI use, and emerging AI-specific regulation is closing in, yet most organizations have no formal AI risk register.
Capabilities
AI governance framework design
Policy, acceptable-use guidelines, and a working AI risk register tailored to how your organization actually uses AI.
Secure AI & LLM adoption advisory
Vetting and safely rolling out Copilot, ChatGPT Enterprise, and custom LLM features before they become a liability.
AI-powered threat detection
AI/ML-enhanced SIEM and EDR tuning that improves detection without drowning your team in false positives.
Data privacy & residency for AI systems
Ensuring training and inference data handling meets your compliance obligations, wherever that data lives.
AI application security review
For teams building AI features into their own products: model, API, and pipeline security review before ship.
Ongoing AI risk monitoring
A standing advisory retainer that keeps your AI risk posture current as tools and threats evolve.
How this actually gets done.
Assess
An AI usage audit and discovery pass, including the shadow AI you don't know about yet.
Govern
A governance framework and acceptable-use policy built around what we actually found.
Secure
Technical controls and application security review for the AI systems in scope.
Monitor
Ongoing detection tuning and advisory as your AI footprint keeps growing.
Security-first, not AI-first
Most AI consultants understand AI but not security fundamentals, and most security teams don't yet understand AI's specific failure modes. We're a cybersecurity practice first: incident response, penetration testing, and compliance work we've done for years, now applied directly to how your organization adopts AI. That's a different starting point than a generic AI shop bolting on "security" as a buzzword.
Get an AI Risk Assessment
A focused first conversation on where your AI exposure actually is.