AI security that starts with what's actually running
Your team adopted AI rapidly, even before formal policies were established. Developers are now incorporating AI-suggested dependencies into production environments. Unlike most AI security programs that start with a framework, we prioritize understanding what's currently in your environment and assist you in managing it effectively.
Talk to an ExpertThere was no rollout. No architecture review. No change ticket. AI showed up in your organization the way most useful things do: one person at a time, because it made their day easier.
Measured against your own policy, not a generic benchmark.
AI didn't arrive through a project plan
That's not a discipline problem. It's a visibility problem. And it means the questions leadership is now being asked are the ones nobody can answer from a policy document.
Questions nobody can answer from a policy document:
Which AI tools are our people actually using, and with what data?
What can our AI agents and integrations reach on their own?
Where did the code in our applications come from, and who is watching it?
If a regulator, client, or insurer asked us to prove oversight, what would we hand them?
You can't govern what you can't see. Every AI security program that works starts by answering those questions with evidence instead of assumptions.
Three problems, three ways in
AI risk in most organizations comes from three directions: the tools your people use, the code your software depends on, and the gap between what you think is happening and what actually is. Start wherever your exposure is greatest.
Discovery, then evidence, then a program
These aren’t three products competing for the same budget line. They answer different questions, and most organizations arrive at them in a sequence.
Understand
An AI Security Assessment maps what's running, who's using it, what it can reach, and where the risk ranks, delivered as an inventory, findings, executive summary, and remediation roadmap.
Validate
AgentGarde keeps the AI inventory honest after the assessment ends. New tools appear every week, and a point-in-time snapshot goes stale fast.
Respond
ChainGarde watches the other direction: thecomponents your applications depend on, re-checked daily, scored by whetheranyone is actually exploiting them.
Guide
All of it routes through the same 24/7 SOC andthe same advisory team, so findings turn into decisions instead of anotherqueue nobody owns.
Practitioners, not just platforms
Plenty of vendors added "AI" to a product page this year. Our AI security work comes from the same place the rest of our practice does: analysts who run a 24/7 SOC, test real environments, and respond to real incidents.
Analyst-interpreted, not just collected. Someone has to say which findings matter here.
Delivered through our SOC. People triage the alerts, so your team doesn't inherit another console.
Built for regulated industries. Detection tuned for case numbers, citations, court references, and your sensitive strings.
Evidence you can hand over. Inventories, baselines, and roadmaps that hold up before a client, regulator, or board.
Connects to your program. It plugs into the assessments, monitoring, and IR you already have with us.
We do this work most often for organizationswhere the consequences of a confidentiality failure are immediate and specific:legal, financial services, healthcare, insurance, manufacturing, andprofessional services.
Where this lands
If any of these sound familiar, start with a conversation:
Leadership asked for an AI policy and yourealized you don’t know the current state
Someone found a coworker pasting client material into a public AI tool
A client, insurer, or regulator sent you an AI questionnaire
You rolled out an enterprise AI suite and aren’t sure what access came with it
Your developers are shipping AI-assisted code and nobody is watching the dependency tree
The common thread isn’t industry. It’s holding material that belongs to someone else.
Frequently asked questions
Do we have to start with an assessment?
No. If you already know AI use is widespread and you want visibility running now, AgentGarde is the faster path. The assessment is the right start when you need a documented baseline and a prioritized plan.
Will this slow down AI adoption for our teams?Will this slow down AI adoption for our teams?
It usually does the opposite. Blanket restrictions get routed around. Knowing what's in use, and what's actually risky, lets you approve the useful tools with confidence and act on the few that matter.
Is monitoring read-only?
Discovery and assessment work is designed to observe, not to interrupt. Deployment is modular, so you choose the collection methods that fit your environment.
We don't build software. Does supply chain monitoring apply to us?
More often than people expect. If anyone in your organization customizes applications, maintains scripts, or uses AI coding assistants, dependencies are entering your environment. If a vendor builds for you, the question becomes what they can show you.
What do we actually receive?
From an assessment: a service inventory, an agent and integration catalog, permission findings, a sensitive data exposure review, an executive summary, a remediation roadmap, and a documented baseline you can re-measure against. From AgentGarde and ChainGarde: continuous, risk-scored alerting triaged by our SOC.
How is this priced?
Assessments are fixed-fee with three tiers. AgentGarde and ChainGarde are scoped to your environment. We'll give you a number before you commit to anything.