AI Risk Management for the AI You Already Use

AI now reaches your organization through vendor updates, employee tools, and agents that act on your systems. STIG helps you find it, assess the risk it introduces, put proportionate governance in place, and test that your controls hold, so you can adopt AI with confidence.

Schedule an AI Risk Readiness Call

Read: Our Perspective on AI Governance

Frameworks We Align To

NIST AI RMF

Govern, Map, Measure, and Manage functions for identifying and managing AI risk.

ISO/IEC 42001

The international standard for an AI management system. We support readiness; certification is issued by accredited certification bodies.

MITRE ATLAS

A knowledge base of adversary tactics and techniques used against AI systems.

OWASP Top 10 for LLM Applications

The most common vulnerability classes in LLM-based applications, including prompt injection and sensitive information disclosure.

CIS Controls AI Companion Guides

Guidance that applies the CIS Controls to large language models, AI agents, and the Model Context Protocol (MCP).

We apply these alongside the regulatory and contractual obligations your organization already carries.

Who We Serve

Organizations rolling out AI assistants and copilots to their workforce
Teams building AI applications, agents, or integrations on their own data
Regulated organizations whose vendors are adding AI to existing platforms
Executives and boards who need a defensible position on AI risk

We bring this work to every industry we serve, including healthcare, financial services, and critical infrastructure.

Top Risks We See in AI

AI features enabled by vendor updates that never went through review
Sensitive data entered into AI tools the organization never approved
Agents and integrations holding broader credentials than their task requires
Prompt injection that turns documents, emails, or web content into instructions
AI assistants surfacing information through overly broad existing permissions
No monitoring once an AI tool is in production

What We Deliver

AI Inventory & Risk Assessment

Identify the AI in use across your environment, including features embedded in existing platforms and tools adopted without approval. We assess each use by the data it touches, the actions it can take, and the decisions it can influence, then deliver a prioritized remediation roadmap.

AI Governance Program Development

Policies, acceptable use standards, ownership, and an approval process scaled to risk. Governance integrates with your existing security and compliance program, including ISO/IEC 42001 readiness where certification is a goal.

AI Vendor & Contract Risk Review

Review how AI vendors handle your data, including training use, retention, and notice of model changes. We identify the contract and data protection terms that need to change before you rely on the tool.

AI Security Testing

Scoped testing of AI applications, agents, and integrations for prompt injection, data leakage, jailbreaks, and excessive permissions. Findings map to the OWASP Top 10 for LLM Applications and MITRE ATLAS.

Secure AI Architecture & Hardening

Design and configure the controls around AI: scoped identities and credentials for agents, data loss prevention for AI use, and permission cleanup before an assistant or copilot goes live.

AI Monitoring & Incident Readiness

AI usage logging and detection integrated into your security operations, including STIG MDR where in scope. AI-specific incident playbooks and tabletop exercises prepare your team to respond when an AI system misbehaves.

How We Work Safely

We minimize disruption to clinical workflows
We don't access live patient records unless explicitly authorized
We align security improvements to patient-care continuity
We assess, test, and govern AI; we don't certify AI systems or declare them compliant

Your AI Risk Journey

From the first inventory to ongoing oversight, we stay with you through the full AI risk lifecycle.

Assess

Inventory AI use, including vendor-embedded features and unapproved tools, and evaluate each use by the data it touches, the actions it can take, and the decisions it can affect.

Plan

Build a prioritized roadmap and a governance model scaled to risk, aligned to NIST AI RMF and ISO/IEC 42001.

Build

Implement policies and technical controls, scope agent credentials, harden configurations, and test AI applications before they go live.

Maintain

Monitor AI usage, review new AI features as vendors release them, retest after significant changes, and keep governance current as regulations evolve.

Why Organizations Choose STIG

Security Expertise Applied to AI

AI risk is a security, privacy, and compliance problem. We bring more than 25 years of cybersecurity experience in regulated environments to it.

Governance Scaled to Risk

A drafting assistant and an agent with write access don't need the same controls. We match oversight to what each AI use can actually reach and affect.

One Partner Across the Lifecycle

From inventory to testing to ongoing monitoring, connected to the security and compliance program you already run.

We Practice What We Recommend

STIG governs its own AI use under a formal AI usage policy and applies the same discipline internally that we bring to clients.