01
Detect
Find every AI agent on the machine, including shadow AI and agents nobody registered, whatever framework or vendor they came from.
FOR TEAMS DEPLOYING AI AGENTS
Govern every AI agent.
Enforce every policy.
Verify every decision.
Scale with confidence.
Teshcol is the independent AI Agent Control Layer. It finds every AI agent on your machines, checks each action against your policy before it executes, and keeps audit ready evidence of everything it allowed or blocked.
Runs on your infrastructure · No changes to your agents · Every action recorded
GOVERNANCE ACTIVE
The Challenge
Your AI agents went live before your controls did.
Agents now read files, call tools, move data and act across your systems with the same access as the people who launched them. Most teams can't answer three basic questions: which agents are running, what they can reach, and what they did yesterday.
Blind spots
Agents arrive through individual installs, built in features and automations nobody registered. You can't govern what you can't see.
Data exposure
An agent with access to a shared drive, a client folder or a customer database can read it, copy it or send it somewhere it should never go. One prompt injection is enough.
No proof
When a client security review, an auditor or a regulator asks what your agents accessed and how you controlled them, having no record is the answer that costs you the deal.
In 2026, Check Point researchers disclosed 11 vulnerabilities across the most widely used AI agent frameworks.
One rogue agent, one leaked file, one disclosure, one lost client. The goal isn't to slow down. It's to keep deploying agents without flying blind.
The incident isn't a question of if. The only variable you control is whether you can prove you governed it.
Sound familiar?
If any of these are true, your agents are already a risk.
A client sent a security questionnaire with a section on AI, and you weren't sure what to write.
Someone on your team set up an AI agent you only found out about later.
Your agents can reach shared drives, client folders or customer data.
You couldn't list every AI agent running on your company's machines today.
If someone asked what an agent accessed last week, you couldn't show them.
You're holding back on new AI projects because you can't see the risk.
How Teshcol works
Five steps from blind spot to proof.
A lightweight collector installs on each machine and reports to a Teshcol server you control. Every agent action then runs through the same five steps, on Windows and macOS.
02
Monitor
Record what each agent touches in real time: the files and folders it opens, the network destinations it contacts, and the actions it attempts.
03
Evaluate
Check every action against your policy before it executes. Policies are written as code using Open Policy Agent, so they are versioned, testable and consistent.
04
Enforce
Allow, restrict, quarantine or terminate in the moment. Unsafe actions are stopped before they reach your data, not flagged in a report afterward.
05
Document
Log every decision with the agent, the policy and the outcome, including any admin override. The result is an audit ready record you can hand to a client, an auditor or your board.
Runs on premise. Your data never leaves your environment. Internet access is optional and used only for alerts.
Why teams choose Teshcol
Real TimeActions are checked and stopped before they execute, not discovered in a log days later.
Policy as Code
Your rules as versioned, testable code, built to align with frameworks like SOC 2, ISO 42001 and NIST AI RMF.IndependentA control layer, not another AI product. It governs every agent on the machine, no matter who built it.
On PremiseAgents report to a server you control. Your data never leaves your environment.
Why not what you already have?
Your other tools weren't built for agents.
Built in AI guardrails
They protect one product.
Guardrails from your AI vendors only cover that vendor's tools. They don't see the agent your developer built, the automation someone set up, or the tool installed on a laptop.
Teshcol covers every agent on the machine.
Security tools
They alert after it happens.
Endpoint and network security tell you something went wrong. By then the file is copied and the data is gone.
Teshcol stops the action before it runs.
GRC and compliance platforms
They document that a control exists.
A policy in a spreadsheet doesn't stop an agent in the middle of an action, and a checklist isn't proof it was enforced.
Teshcol is the control, and the evidence it worked.
Vendor Independent by Design
We don't build the AI. We govern it.
Teshcol is not an AI vendor. We don't build models or sell agents. We sit beside the AI you already use as an independent control layer, with no conflict of interest and no stake in which AI you choose. Security tools tell you a breach happened. Teshcol stops the action before it runs and keeps the evidence that you governed it.
"When your auditor, your board, or your regulator asks who governs your AI, the answer should never be the same company that sold it to you."
Questions
What teams ask us first.
It sits between your AI agents and the systems they act on. Before each action runs, it decides whether that action is allowed under your policy, enforces the decision, and records it.
No. Teshcol governs agents at the machine level, so it works with agents built on any framework or bought from any vendor.
No. The collector reports to a Teshcol server you control. Internet access is optional and only used to send alerts.
Vendor guardrails govern that vendor's product. They don't see the agents your team built or installed elsewhere, and no vendor can independently audit the AI it sells you.
Windows and macOS.
No single tool can. Teshcol enforces your policies and produces evidence built to align with frameworks like SOC 2, ISO 42001 and NIST AI RMF. Compliance also depends on your own processes and qualified professional review.
Any organization whose people are deploying AI agents on machines that touch customer, client or company data, from small teams to regulated organizations.
Book a discovery call. If there's a fit, we run Teshcol on a small set of your machines first so you see what's happening in your environment before you commit to anything.
Keep deploying AI agents. Without flying blind.
Book a discovery call and we'll work out together whether Teshcol fits what you're running. No pitch. If it isn't right for you, we'll say so. If it is, we'll show you exactly what it finds in an environment like yours.