AI Security & Governance
Your employees are already using AI — ChatGPT, Claude, Copilot, browser extensions, plugins. Most of it happens outside your visibility, and sensitive data is walking out the door with it. We help you see it, govern it, and enable it safely.
Key Capabilities
- Shadow AI discovery across browser, SaaS, and endpoint
- OAuth-granted AI app inventory and risk scoring
- Prompt-level DLP and data classification alignment
- Acceptable Use Policy for generative AI and LLMs
- Approved-tool catalog with enterprise alternatives
- OWASP LLM Top 10 assessment for customer-facing AI
- Prompt injection and jailbreak red teaming
- AI agent permission and tool-use review
- NIST AI RMF alignment and gap analysis
- Vendor AI feature risk reviews (Copilot, Gemini, etc.)
- Employee AI literacy and safe-use training
- Board-level AI risk reporting
Overview
AI adoption inside enterprises has outpaced security by a wide margin. Employees are pasting source code, customer PII, financial data, M&A documents, and internal strategy into public LLMs every day. Browser extensions with AI capabilities read every page they load. Shadow AI tools get connected to corporate email, calendar, and cloud drives via OAuth without IT ever seeing the consent screen. The average Fortune 500 has hundreds of AI-enabled SaaS apps in active use — most unknown to security. This isn't a theoretical risk. We have seen confidential board decks surface in chatbot training incidents, regulated health data exfiltrated through "helpful" summarization extensions, and production credentials leaked through auto-complete plugins. Traditional DLP and CASB tools were not designed for prompt-level inspection or for the AI supply chain. And blanket bans do not work — they push usage underground and destroy the productivity advantage your competitors are already capturing. Our AI Security & Governance practice gives you a defensible middle path. We start with discovery: a complete inventory of AI tools in active use across your environment — browser extensions, SaaS integrations, API keys, personal accounts on corporate devices, and LLM-powered features hiding inside tools you already own. Then we build governance you can actually operationalize: acceptable use policies tied to data classification, DLP rules tuned for prompt content, approved-tool catalogs with business-justified sanctioning, and enterprise-grade alternatives that give employees the productivity they want without the data egress risk. We also harden the AI systems you build. If you are shipping LLM features to customers, we assess prompt injection exposure, data poisoning risk, model supply chain integrity, agent tool-use permissions, and the OWASP LLM Top 10 against your architecture. For regulated industries, we map AI use to HIPAA, GLBA, PCI-DSS, SOC 2, and the NIST AI RMF so your program holds up to audit. And because the landscape shifts weekly, every engagement includes continuous monitoring recommendations and a governance cadence designed to keep pace.
What We Deliver
Tangible outcomes and deliverables from our engagement.
Shadow AI Inventory Report
Complete view of AI tools in use across your environment — sanctioned, unsanctioned, and OAuth-connected — with risk scoring and data exposure analysis.
AI Acceptable Use Policy
Enforceable policy tied to your data classification model, covering generative AI, coding assistants, browser extensions, and personal-account use on corporate devices.
Approved Tool Catalog
Curated list of sanctioned AI tools with business justifications, data handling requirements, and per-tool usage guidelines employees can actually follow.
Prompt DLP Ruleset
Tuned data loss prevention rules for prompt content — tailored to your regulated data types and integrated with existing DLP/CASB infrastructure.
OWASP LLM Top 10 Assessment
Technical security review of customer-facing LLM features covering prompt injection, insecure output handling, training data poisoning, and agent permissions.
AI Red Team Report
Adversarial testing results with reproducible prompt injection, jailbreak, and data exfiltration findings — plus remediation guidance.
NIST AI RMF Gap Analysis
Alignment assessment against the NIST AI Risk Management Framework with a prioritized roadmap to close governance gaps.
Executive AI Risk Briefing
Board-ready briefing quantifying AI exposure, business impact scenarios, and investment-prioritized mitigations.
Employee AI Safe-Use Training
Role-tailored training modules for engineering, legal, finance, HR, and executive staff on safe AI usage and red flags to watch for.
Our Process
A proven methodology that delivers results.
Discovery & Shadow AI Mapping
We scan your environment — browser telemetry, SaaS OAuth grants, network traffic, endpoint inventory — to surface every AI tool actually in use, including the ones IT does not know about.
Risk Assessment & Data Exposure Analysis
For each discovered tool we assess data egress risk, vendor trust posture, compliance fit, and business value. High-risk tools get flagged; high-value tools get a path to sanctioning.
Policy, Controls & Approved-Tool Catalog
We build a practical AUP, tune DLP rules for prompt content, and stand up an enterprise-approved tool catalog that gives employees safe alternatives so they do not route around the policy.
Training, Red Teaming & Continuous Governance
We train employees on safe use, red team any customer-facing AI you ship, and establish a governance cadence — because AI risk shifts every quarter and a point-in-time assessment is not enough.
Ideal For
- Enterprises with no visibility into employee AI tool usage
- Regulated organizations (healthcare, finance, legal) facing AI compliance questions
- Companies shipping LLM-powered features to customers
- Security teams being asked to 'allow AI' without a framework
- Organizations that have banned AI and watched usage go underground
- Boards demanding an AI risk position before the next audit
- Teams preparing for NIST AI RMF, EU AI Act, or state AI regulations
Engagement Models
AI Risk Assessment
Point-in-time shadow AI discovery, data exposure analysis, and executive briefing. Delivers a clear picture of current AI risk plus a 90-day remediation roadmap. Ideal for first-time engagements or board preparation.
AI Governance Program
Full policy, DLP integration, approved-tool catalog, employee training rollout, and NIST AI RMF alignment. Includes quarterly reviews as the AI landscape changes. Best for enterprises standing up a formal AI program.
LLM Product Security
Deep technical assessment for teams shipping LLM features to customers. OWASP LLM Top 10 coverage, prompt injection red teaming, agent permission review, and secure-by-design architecture guidance.
Frameworks & Standards
Tools & Technologies
Related Services
Often paired with this service for comprehensive security coverage.
Ready to Get Started?
Let's discuss how our ai security & governance services can help protect and strengthen your organization.