Secure AI

Secure AI Adoption & Integration

Most organizations are deploying AI tools faster than security teams can evaluate them — and leaving the larger opportunity untouched: AI agents that execute real work. We build the architecture, controls, and policies needed to adopt AI at pace without introducing unacceptable risk, and we design and integrate the automation itself: agentic workflows, MCP-connected tooling, and AI systems that run routine operations with guardrails, least privilege, and human-in-the-loop controls where the risk demands it. The result is AI that works for the business and stands up to security review.

• Secure AI architecture design and review
• Agentic workflow design and integration with security guardrails
• MCP server architecture, integration, and security review
• Human-in-the-loop and least-privilege controls for AI agents
• AI automation of security, compliance, and business operations
• Microsoft Copilot and enterprise GenAI readiness assessment
• GenAI data loss prevention (DLP) policy design
• AI tool vetting and third-party AI vendor risk management
• Secure AI SDLC integration (model validation, testing, deployment)
• AI acceptable use policy development
• Ongoing AI security posture monitoring