AI Security & Governance
Generative AI is the most transformative technology since the internet — and the most dangerous if adopted without security controls.
At a glance
Your employees are already using AI tools you don't know about, entering sensitive data into platforms you don't control, and creating compliance exposures that won't surface until an audit or breach.
LayerLogix's AI Security & Governance services give you visibility into shadow AI usage, policies that enable safe adoption, technical controls that prevent data leakage, and defense against the AI-powered attacks targeting your business.
AI security & governance · How we roll it out
Keep the AI. Lose the blind spots.
Your team already uses AI, and banning it just pushes it out of sight. Here's how we find it, write rules people can follow and put controls behind them. Tap a lens to dive in, or let it play.
Before · Shadow AI
Your team already uses AI. You just can't see it.
A grammar extension here, a free chatbot there, a note-taker bot that joins your sales calls. None of it went through IT, and nobody can say what's been pasted in. The goal isn't to take AI away from your team. It's to bring it into view and make it safe to use. Turn the lights on.
What LayerLogix does
- Find the AI tools, extensions and bots already in your office
- Keep the useful ones and give your team a safe way to use them
- Back it with rules and controls, not a blanket ban
Step 1 · Discover what's in use
First, find out what's actually in use
We look where AI tools leave tracks: extensions in each browser, sign-ins to AI sites with work email, bots on meeting invites and web traffic leaving the office. Everything lands in one inventory with who uses it, then gets rated approved, restricted or prohibited. Rerun the scan.
What LayerLogix does
- Inventory AI use across browsers, sign-ins, invites and web traffic
- Record which teams use each tool and what data it touches
- Rate each tool as approved, restricted or prohibited
Step 2 · An AI policy people follow
Rules that fit on one screen: what data goes where
Most AI policies die in a binder. Ours start with one question anyone can answer: what kind of data is this? Public, internal or client-confidential, each comes with a short list of tools allowed for it, and client work gets a person checking the AI's output before it goes out. Pick one.
What LayerLogix does
- Write an AI acceptable use policy in plain English
- Tie each type of data to the tools approved for it
- Set how AI output gets reviewed before it goes out
Step 3 · Data leakage controls
Stop the risky paste and offer the approved tool
A policy won't stop a rushed Friday paste on its own. DLP controls watch for client details, account numbers, financial records and source code heading to AI tools you haven't approved. They block the paste and point the person to the approved assistant, so the work still gets done.
What LayerLogix does
- Deploy DLP rules that catch sensitive data headed to unapproved AI
- Point people to the approved tool instead of a dead end
- Add browser and network controls for the riskiest AI sites
Step 4 · Approved tools, one sign-in
A short list of approved AI, behind your work sign-in
Once the rules exist, people need a good place to go. We set up the approved AI tools and connect each one to your identity provider, like Entra ID, so people sign in with their work account and MFA. When someone leaves, disabling one account ends their access to every approved tool.
What LayerLogix does
- Evaluate and roll out enterprise AI tools that keep data in bounds
- Connect each approved tool to single sign-on with MFA
- Cut AI access in the same step as the rest of offboarding
Step 5 · Vendor and model risk
Ask the hard questions before a new AI tool gets in
Someone will find a new AI app next month. Before it's approved, we ask how long it keeps your data, whether it trains its models on it, where it's hosted, who else processes it and whether it reads outside email or web pages that could carry hidden instructions. Compare two.
What LayerLogix does
- Review each AI vendor's data retention and training terms
- Check hosting and the third parties that process your data
- Assess tools that read email or web content for prompt injection
Step 6 · Review and training
Review the usage, train the team, keep the list current
Governance isn't a one-time project. We review AI usage and DLP blocks with you, send the new tools people ask for through vendor review and revisit the policy every quarter. Your team gets short training on what data goes where and how to check AI output. Then back to the office.
What LayerLogix does
- Review AI usage and DLP blocks, and act on what they show
- Run short AI security training for your team
- Revisit the policy and the approved list every quarter
Showing Before · Shadow AI: Your team already uses AI. You just can't see it.
What We Offer
Comprehensive solutions tailored for Houston-area businesses
Shadow AI Discovery & Inventory
Identify every AI tool your employees are using — ChatGPT, Copilot, Gemini, Claude, Midjourney, and dozens of others. Most organizations have 3-5x more AI tools in use than leadership knows about. We find them all, assess their risk, and classify them as approved, restricted, or prohibited.
AI Acceptable Use Policy Development
Custom AI governance policies tailored to your business and regulatory requirements. Defines what AI tools are approved, what data can be entered into AI systems, how AI-generated output must be reviewed, and what industry-specific restrictions apply (HIPAA, ITAR, PCI-DSS, attorney-client privilege).
Data Leakage Prevention for AI Tools
Prevent employees from pasting sensitive data — client PII, financial records, source code, trade secrets, or regulated information — into consumer AI tools whose training pipelines you don't control. We deploy DLP controls that detect and block sensitive data from reaching unauthorized AI platforms.
AI-Powered Attack Defense
Attackers use generative AI to craft hyper-personalized phishing, generate polymorphic malware, automate social engineering, and create deepfake voice/video impersonations. We deploy behavioral detection and AI-aware security controls that catch these attacks where traditional defenses fail.
Prompt Injection & AI Supply Chain Risk
If your business uses AI-powered tools that process external content (emails, documents, web data), those tools are vulnerable to prompt injection — malicious instructions embedded in content that manipulate AI behavior. We assess your AI tool chain for injection risks and implement guardrails.
Secure AI Adoption Roadmap
Not all AI is risky — and blocking it entirely puts you at a competitive disadvantage. We help you adopt AI tools securely: evaluating Microsoft Copilot, Azure OpenAI Service, and enterprise-grade platforms that keep your data within your security boundary while delivering productivity gains.
Why Choose LayerLogix?
Serving businesses throughout the Greater Houston area including Houston, The Woodlands, Spring, Katy, Sugar Land, Conroe, Dallas, Austin.
Control Shadow AI Before It Causes a Breach
Employees are already using AI — 68% without their employer's knowledge. Shadow AI creates data leakage, compliance violations, and security gaps. Getting visibility and control now prevents the incident that forces you to react later.
Stay Compliant as Regulations Evolve
AI regulations are arriving rapidly — the EU AI Act, state-level AI transparency laws, and industry-specific requirements. Organizations with documented AI governance policies are positioned to adapt without scrambling.
Defend Against AI-Enhanced Attacks
AI-generated phishing bypasses traditional email security. AI-mutated malware evades signature-based antivirus. Behavioral detection and AI-aware security controls are the necessary counter-measures.
Adopt AI Safely — Not Blindly
We don't recommend blocking AI. We recommend adopting it with guardrails — approved tools, data classification, usage policies, and technical controls that let your team benefit from AI without exposing your organization.
Board-Ready AI Risk Reporting
Clear documentation of your AI risk posture, governance policies, and security controls that satisfies board-level oversight, cyber insurance questionnaires, and client vendor assessments asking about your AI practices.
Our Process
Frequently Asked Questions
What is shadow AI and why is it dangerous?▼
Should we block AI tools entirely?▼
How do you protect against AI-generated phishing?▼
Do you help with Microsoft Copilot deployment?▼
What industries need AI governance most urgently?▼
Do you provide AI Security & Governance in Houston and nearby areas?▼
What does AI Security & Governance cost for a Houston business?▼
Ready to Get Started?
Contact LayerLogix today for a free consultation. We serve businesses throughout Houston, The Woodlands, Spring, and the surrounding Greater Houston area.