AI Security, Governed From the Start

Built for CISOs, general counsel, and compliance leads

Watch us work before you sign anything

We track AI law changes across every state as they happen, in public, for free. It's the same monitoring discipline that runs inside every engagement below — you can see it today, not just take our word for it.

Strategy, compliance, assessment, and testing — one team, one retainer, built for CISOs and compliance leads who need AI risk handled continuously, not once a year.

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.

One retainer. Four modules. Turn on what you need.

Every engagement starts from the same governance foundation and scales by module — not a separate sales process for each one. Start with one, add the rest as your program grows.

Strategy & Governance

  • Inventory of sanctioned and shadow AI across the org
  • Governance framework: policies, data rules, model approval workflow
  • Leadership and board workshops, in business terms
Learn more about Strategy & Governance →

Regulatory & Compliance Advisory

  • Maps EU AI Act, NIST AI RMF, and state rules to what you actually run
  • Audit-ready documentation: model cards, risk assessments, conformity records
  • Ongoing regulatory change monitoring, before it's a gap
Learn more about Regulatory & Compliance Advisory →

Threat & Risk Assessment

  • Adversarial testing of models, agents, and non-human identities
  • Shadow AI discovery, remediation prioritized by business risk
  • Continuous monitoring for drift as models and permissions change
Learn more about Threat & Risk Assessment →

Application & Model Security Testing

  • Prompt injection, jailbreak, and hidden-instruction testing
  • Data exfiltration and output validation on live applications
  • Continuous red-teaming, scheduled alongside your release cycle
Learn more about Application & Model Security Testing →

One SOW, scoped by module. You're not buying four vendor relationships — you're buying one, sized to what's on.

How DeepRoot compares

Big 4 advisory firms, GRC software platforms, and boutique AI security shops all solve part of this. Here's where each one actually stands.

  Big 4 Advisory Governance Platforms Boutique AI Security Firms DeepRoot
Contract flexibility Fixed scope, long SOW Flexible, self-serve Case by case Modular — add or drop services
Time to first value Months Days (software alone) Weeks Free scored assessment in 10 minutes
Continuous monitoring Point-in-time engagements Built in Add-on, often Standard across every module
Public proof before you buy None None None Live, free State AI Law Tracker

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 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.