AI Guardrails of the Enforcement Pipeline
AI agents are workloads.
Govern Them Like It.
Treat AI agents as first-class workloads. Full OWASP LLM Top 10 coverage, plus IC-ISM and PII protection built in.
The problem
Agents move faster than
the controls around them.
An agent is code that acts on its own: it reads mission data, calls tools, and talks to models your team does not host. Perimeter controls never see those hops. The network layer does, and that is where Greymatter enforces.
New attack surface
Prompt injection, data exfiltration through responses, and tool misuse do not look like network attacks. Firewalls and meshes pass them through untouched.
No native identity
An agent acting for an analyst is two identities, not one. Most stacks lose the human the moment the agent takes over. Attribution dies with it.
Classified data in the loop
Mission prompts contain classification markings and PII. Once a prompt leaves for a model, there is no recall. Inspection happens before it leaves, or not at all.
Inline enforcement
Nothing reaches a model uninspected. Nothing comes back unchecked.
Guardrails inspect every prompt on the way out and every response on the way back. High-precision rules, like PII and classification markings, detect in real time. Subtler signals get scored for review, and every decision writes a forensic event to the audit record.
✓ Prompt injection checks before the model sees a word
✓ IC-ISM classification markings caught in prompts and responses
✓ PII detected before it leaves the enclave
✓ One policy engine for agents, tools, and models
OWASP AI LLM Top 10
All ten threats.
Covered at the network layer.
Eleven rule modules run on the Greymatter WAF and map to the OWASP LLM Top 10. High-precision rules block. Semantic signals score and audit. No agent SDK to adopt, no app changes to ship.
Policy as an operational lever
Swap the model. Cap the spend. Ship nothing.
Operators control models, tools, and cost as policy, not as code changes. One edit in the playbook, and every agent follows it.
✓ Retire a compromised model in one policy edit
✓ Allow-list exactly which MCP tools each agent may call
✓ Set token budgets per team before the bill surprises you
Attribution that survives the agent
Every agent action traces back to the human who started it.
Agents get workload identity. Humans stay attached through allow-list impersonation. When an agent touches mission data, the forensic record shows the agent, the human it acted for, the resource, and the decision.
Ready to guard your first agent?
Start a 30-day free trial and put your first AI agent under policy today.
Frequently Asked Questions
How does Greymatter treat AI agents for security?
Greymatter treats AI agents as first-class workloads. Full OWASP LLM Top 10 coverage is included. IC-ISM classification markings and PII protection are built in. Guardrails inspect every prompt and every response at the network layer.
What AI threats does Greymatter protect against?
Greymatter covers the full OWASP AI LLM Top 10. Rules block prompt injection. PII is stopped before it leaves the enclave. IC-ISM markings are checked in prompts and responses. No agent SDK or application changes are required.
How does attribution work with AI agents?
Every agent action traces back to the human who started it. Agents receive workload identity. Humans stay attached through allow-list impersonation. The forensic record shows the agent, the human, the resource, and the decision.
