The AI Guardian Platform
Govern Your AI and Enforce the Rules – From One Platform, Not Five.
The oversight to find, assess, and approve every AI system, and the teeth to hold it to the rules at runtime – on one policy model, no integration project. The policy you approve is the policy that's enforced, so you can say yes to more AI, faster.
The Gap We Close
AI shows up on its own. Adoption doesn't.
Using AI takes a second. Adopting it – bringing it in on purpose, under governance – takes real work, and the two move at very different speeds. That gap looks the same at regulated firms and the firms that serve them: an inventory nobody trusts, client rules landing faster than policy can keep up, and a growing distance between the policy on paper and what actually happens when someone hits enter.
Inventory doesn't survive scale
Manual intake holds up right until the AI outnumbers the governance team – which doesn't take long. Once the list is stale, everything downstream wobbles: risk assessments, client attestations, regulatory reports.
Client rules cascade faster than policy
Serve a regulated industry and you inherit AI requirements through contracts, not statute. They vary by client, keep coming, and are often stricter than anything you'd have written yourself.
Client data has to stay apart
In professional services the risk isn't one sensitive dataset – it's many that must never meet. AI tools are unusually good at introducing them, carrying context from one conversation, or one client, into the next.
Shadow AI answers to no one
Even with a licensed enterprise tool, people reach for personal accounts. Those sit outside your logging, retention, and policy entirely: invisible to you, and a contract breach to your client.
One platform, end to end
Governance and runtime enforcement, on one policy model.
Most tools do half of this. Governance platforms keep the inventory and map to frameworks, then hand enforcement to a second tool. Data-protection tools enforce at runtime but know nothing about your inventory, assessments, or vendors. AI Guardian runs the whole thing on one policy model and one audit trail – no integration project stitching the halves together.
01 – Discover
Most tools do half of this. Governance platforms keep the inventory and map to frameworks, then hand enforcement to a second tool. Data-protection tools enforce at runtime but know nothing about your inventory, assessments, or vendors. AI Guardian runs the whole thing on one policy model and one audit trail – no integration project stitching the halves together.
AI Bill of Materials scanner – sweeps code repos, directories, and network shares for libraries, frameworks, model calls, and provenance, down to open-weight and modified models.
Transaction scanner – reads expense and procurement data to catch the AI subscriptions people put on a card, where unsanctioned tools tend to show up first.
Traffic scanner – uses the web-gateway and SIEM logs you already generate, and tells real use apart from someone just kicking the tires.
Streamlined intake – whatever isn't found automatically comes in through guided intake, pre-filled from records you already have, and lands in one AI registry.
Deployment & data handling
Built to keep sensitive content inside your walls.
Runs in your environment
Monitoring runs inside your environment. Handling client or otherwise sensitive data? Every part of it, guardrail processing included, runs inside your VPC, so monitored content never leaves your boundary.
Uses what you already run
Discovery and enforcement read the systems you already have: identity, endpoint management, SIEM and secure web gateway, cloud control plane, source and model registries, expense and procurement, CLM, PSA/ERP/CRM, and AI provider admin APIs. We plug in, we don't replace.
Priced by module
You pay by module, not by seat, with bundle pricing across them – so governance grows with your program, not your headcount. SOC 2 audit in progress.
Who we build for
Four situations. One platform for all of them.
What our customers have in common isn't a size or an industry. It's that AI has outrun their ability to govern it – and the fallout lands from the outside, through regulators, clients, or both.
Regulated firms
Insurers and health plans, banks, broker-dealers, investment advisors – where existing rules already cover AI-assisted decisions, and expectations get set in the exam room.
Firms serving regulated clients
Professional services, agencies, and tech providers whose clients' regulators become theirs, through engagement letters and third-party risk questionnaires.
Adopting without a dedicated governance team
Big AI ambitions and nobody whose full-time job is governing it. We make governance scale without a matching jump in headcount.
Established governance teams
Held back by tooling, not know-how. Trade the stack of spreadsheets and half-solutions for one platform, and close the gap between the policy you wrote and what's enforced.
Governance & GRC platforms
Keep the inventory, run assessments, map to frameworks – then hand off enforcement. They'll tell you what your policy should be, but they can't make it stick.
AI data-protection tools
Enforce at runtime on prompts and uploads – but hold no inventory, no assessments, no vendor risk. They'll stop content without knowing what policy it broke.
AI Guardian
Both, on one platform, one policy model, one audit trail, no integration project. The few vendors that also do both are built for companies churning out AI at scale. Most aren't doing that. They're trying to govern everyday use of commercial AI, with regulators and clients leaning on them and only so many hours in the day. That's who we built this for.
Where we sit in the market
Governance that enforces. Enforcement that governs.
Frameworks & reporting
Speak your regulators' and assessors' language.
Assessment templates map to the risk and control frameworks people know; reporting lines up with the exam frameworks your regulated buyers answer to.
What changes
What you're actually buying.
An inventory you can trust
Because it's found, not self-reported – so every risk assessment, client attestation, and regulatory report downstream sits on something current.
Governance that scales without more hires
The platform carries a big share of the control and evidence work, so a small team can keep up with AI that never slows down.
Policy that's actually enforced
Not written down and hoped for. Runtime guardrails and per-client controls close the gap between what your policy says and what happens when it runs.
Trust you can show, on demand
An evidence-backed credential that stands up to a regulated buyer's risk review – no waiting on a certification cycle.
One platform, not seven tools
Governance, runtime enforcement, and vendor risk on one policy model and one audit trail – goodbye spreadsheets and half-solutions.
Sensitive data that stays put
Full-VPC deployment and prompt visibility you control, so you can monitor and enforce without content ever leaving your walls.
Advisory
Available alongside the platform.
Software enforces decisions; it doesn't make them for you. When you need a hand, our team – plus vetted partners when the work calls for extra depth or capacity – helps with governance and policy design, framework readiness for NIST AI RMF, ISO 42001, and HITRUST, AI system security reviews built around MITRE ATLAS and OWASP, and the change management this all really turns on. You can bring us in with or without the platform, and plenty of clients start here before they decide what to automate.