No agent acts without authority.
Intercis intercepts every AI agent action before execution. It enforces your policies, scans for prompt injection, and gates high-risk tool calls behind human approval. Learn how it works →
A pattern we hear from teams running agents in production: a coding agent runs an unexpected destructive command. The SOC team finds out from monitoring, not from the agent. There is no proxy in front of the agent, no policy gating the dangerous tool call, and no log of the prompt that led there. Intercis exists because that pattern has a different ending if any of those three things are in place.
The Intercis dashboard shows every tool call, every verdict, every blocked action, every human override across all your AI agents. Live updates every three seconds. No refresh.
Every AI agent action passes through Intercis's enforcement stack before it reaches your infrastructure.
Transparent proxy sits between agent code and LLM API. Zero code changes. Point your SDK to Intercis.
Every message flowing into the agent is scanned for prompt injection patterns before the LLM ever sees it.
YAML-defined rules evaluate every tool call in real time. Allow, deny, or escalate to human approval in <20ms.
Append-only session log with full forensic replay. Tamper-evident evidence packages for SOC2 / ISO 27001.
policy:
name: prevent-destructive
action: deny
trigger:
tools: [bash.exec, k8s.delete]
conditions:
environment: production
confidence_threshold: 0.95
approval_gate:
pattern: kubectl apply|helm upgrade
verdict: require_approval
approvers: [soc-team]
timeout: 300sWhy proxy-based enforcement is more secure than in-process SDK guardrails →
As enterprises deploy AI agents — Claude, GPT-4o, open models — into production with filesystem, database, and cloud API access, a new security discipline is emerging. AI agent governance means controlling what actions agents take, verifying those actions are authorized, and maintaining an immutable record of what happened — before the damage occurs.
Define what actions are allowed per agent, per environment. YAML-based policies evaluated in real time, before any tool call executes.
Disable any agent instantly when behavior is unexpected. A single command stops all future actions — no waiting, no escalation ticket.
Append-only session logs with full forensic replay. SOC2 and ISO 27001 evidence packages — the agent cannot modify a log it doesn't control.
Integrate in 3 lines. No SDK changes required.
# Before client = Anthropic() # After — full governance enabled from intercis import IntercisProxy client = Anthropic( base_url=IntercisProxy(policy="prod-agents.yaml") )
Design partners receive 40% off listed rate and direct input into the product roadmap.
for 1 agent · unlimited events
90-day pilot — no commitment required
Learn more about AI agent governance
Design partners get 40% off, direct roadmap input, and a dedicated line to the founder. We only accept teams already running AI agents in production.
Secure by design · No trackers · GDPR Compliant