AI Security, Governed From the Start

Strategy, Compliance, Assessment, Testing. Adopt AI with a framework behind it — every service we deliver is built on Responsible AI principles, in partnership with PercepAI’s Trustworthy AI practice.

Responsible AI isn’t a checkbox — it’s the standard every one of our AI Security services is built around, delivered in partnership with PercepAI’s Trustworthy AI practice.

AI didn’t just add a new tool to your stack — it added a new attack surface and a new governance obligation. Shadow AI, unmanaged agents, and models nobody vetted are already live in most organizations, whether IT knows it or not.

We start by understanding what AI you’re actually running — sanctioned and shadow — then build a Responsible AI governance framework: policies, fairness and transparency standards, and workshops your leadership needs to move forward with confidence.

A full evaluation of your AI attack surface — models, agents, non-human identities, and shadow AI — with remediation guidance prioritized by real business risk, not just a severity score.

Mapped to the EU AI Act, NIST AI RMF, and emerging U.S. state rules, so your AI initiatives are compliant by design, not retrofitted after a regulator asks.

Ongoing adversarial testing of your models and AI applications — prompt injection, jailbreak attempts, data exfiltration scenarios — delivered through our partner technology and reported in plain business language, not just a CVE list.

The Right Technology, Managed for You

We don’t sell you a platform — we assess your environment, then assemble the right AI security technology from our partner ecosystem, including AccuKnox for AI-SPM and runtime protection, and Centriole for AI-BOM and model provenance. One managed relationship, not five vendor dashboards.

AI Risk Belongs in the Boardroom

AI risk should show up in your board reporting, not just a dashboard nobody checks. Every AI Security engagement can be bundled with vCISO oversight, so strategy and execution stay connected — from governance framework to boardroom update.

Not Sure Where to Start?

Take our free Texas AI Trust Readiness Assessment — a 10-minute, no-obligation scored report covering shadow AI exposure, governance maturity, and compliance gaps.

What's the difference between AI security and traditional cybersecurity?

Traditional cybersecurity protects your infrastructure, networks, and data. AI security addresses a different attack surface entirely — prompt injection, model manipulation, training data leakage, and autonomous agents making decisions with real access. You need both, but AI security requires specialized testing traditional pen tests don't cover.

What is shadow AI, and how do I know if we have it?

Shadow AI is any AI tool, model, or agent running in your organization that IT doesn't know about — employees pasting data into consumer chatbots, teams standing up unsanctioned tools, browser extensions with AI features. Most companies have more of it than they realize. Our AI Inventory & Discovery service finds it.

Do the EU AI Act or NIST AI RMF actually apply to us?

It depends on your industry, where your customers are, and what your AI systems do — but the scope is broader than most companies assume. Our AI Regulatory & Compliance Advisory service maps your specific obligations instead of you guessing.

How long does an AI security engagement take to get started?

Most engagements start with our free AI Trust Readiness Assessment — a 10-minute scored report covering shadow AI exposure, governance maturity, and compliance gaps. From there, we scope a plan based on what we find, typically kicking off within 1-2 weeks.

Do you replace our existing security team, or work alongside them?

We work alongside your existing team as an extension of it — assembling and managing the right partner technology (like AccuKnox for AI-SPM and Centriole for AI-BOM) so you get vendor-neutral coverage without hiring five separate vendors.