Astrix Security launched the most comprehensive shadow AI agent discovery system shown at RSAC 2026 — a four-method architecture that finds AI agents through every possible channel, paired with a real-time policy engine that controls what those agents can do.
The premise is uncomfortable: your enterprise is already running AI agents you don’t know about. Traditional governance cycles take weeks. Agent deployment takes minutes. Astrix is closing that gap.
The Four-Method Discovery Engine
Most AI governance tools rely on a single discovery method — usually scanning cloud platforms. Astrix argues that’s inadequate. Shadow agents live everywhere, and finding them requires looking everywhere.
1. AI Platform Integrations
Direct connectors pull agent inventory from major AI platforms: Microsoft Copilot, Amazon Bedrock, Google Vertex, OpenAI, and Salesforce Agentforce. This catches the “sanctioned but ungoverned” category — agents deployed through official platforms but without security team awareness.
2. NHI Fingerprinting
This is the clever one. By monitoring OAuth apps, service accounts, API keys, and personal access tokens, Astrix identifies agents operating without formal platform registration. It works by recognizing the behavioral fingerprint of a non-human identity — an agent that authenticates, accesses resources, and performs actions on a schedule no human would.
Crucially, this catches agents with privileged admin credentials — the highest-risk shadow deployments that traditional scans miss entirely.
3. Sensor Telemetry
Data from existing EDR tools (CrowdStrike, SentinelOne, Microsoft Defender) and network sensors (FortiGate, browser extensions) reveals locally-run agents that never touch a cloud platform. Think IDE-embedded copilots, local OpenClaw instances, or custom agents running on developer workstations.
This is the discovery layer that no cloud-native governance tool provides. If an agent runs locally and communicates through API keys, the only way to find it is through endpoint telemetry.
4. Bring-Your-Own-Service (BYOS)
A plug-in model for extending discovery to proprietary or niche services. Enterprises running custom agent frameworks, internal MCP servers, or domain-specific automation tools can write their own discovery connectors.
All four feeds converge in the Astrix Platform, where each discovered entity is linked to its associated non-human identity, credential set, reachable resources, and accountable owner. Automated risk scoring prioritizes remediation based on access scope and potential impact.
Agent Control Plane: From Visibility to Enforcement
Finding shadow agents is necessary but insufficient. Astrix’s Agent Control Plane introduces “Agent Policies” — a real-time enforcement engine that evaluates every agent action before it executes.
Security teams define allow, flag, or block rules scoped by:
- User — who deployed the agent
- Department — engineering vs. marketing vs. finance
- Platform — Copilot vs. Bedrock vs. custom framework
- Resource type — production databases vs. staging environments
The default policy automatically flags activity from unrecognized agents — an immediate safety net that catches new shadow deployments on first action.
This is not a reporting dashboard. It’s an inline enforcement layer. An unrecognized agent accessing a production database gets blocked in real-time, not flagged in a weekly report.
The Shadow Agent Problem Is Getting Worse
Astrix’s co-founder Idan Gour states the problem bluntly:
“Shadow AI agents are not a theoretical problem. Before security knows an agent exists, it already has access to sensitive data and production operations with no owner on record.”
The data from RSAC 2026 vendors confirms this across the board:
- BeyondTrust Phantom Labs found the majority of enterprises run shadow AI agents with privileged access invisible to security teams
- Snyk’s 500+ scans discovered ungoverned agentic components in organizations that believed they had AI under control
- ArmorCode’s survey of 650+ security leaders found 59% admit shadow AI operates outside governance
Every major security vendor at RSAC is seeing the same thing: enterprises that think they have AI governance don’t.
What This Means for OpenClaw Users
OpenClaw itself is exactly the kind of agent that Astrix’s sensor telemetry would discover — a locally-run AI agent that communicates through API keys and operates on a developer workstation without touching enterprise cloud platforms.
For self-hosters, that’s the point: local control means local responsibility. But in enterprise contexts, OpenClaw instances should be:
- Registered with whatever agent governance platform your org uses — voluntarily, before the EDR catches it
- Scoped with appropriate API key permissions — principle of least privilege applies to agents too
- Owner-tagged so security teams know who’s responsible when an agent access pattern triggers a flag
- Network-segmented if accessing sensitive resources — agent traffic should be auditable
The enterprises deploying agent governance platforms aren’t trying to block innovation. They’re trying to prevent the scenario where an untracked agent with admin credentials creates a security incident that nobody can trace back to an owner.
The RSAC 2026 Governance Stack
Astrix’s announcement fits into an emerging RSAC 2026 pattern: a full-stack agent governance architecture is crystallizing:
| Layer | Vendor | Function |
|---|---|---|
| Discovery | Astrix, BeyondTrust, SentinelOne | Find every agent |
| Identity | Astrix (NHI), BeyondTrust (PAM) | Map agent credentials |
| Policy | Astrix (ACP), Snyk (Policy Agent) | Define and enforce rules |
| Runtime | SentinelOne (Prompt AI), Snyk (Agent Guard) | Monitor live behavior |
| Testing | Snyk (Red Teaming), SentinelOne (Red Teaming) | Continuously probe |
No single vendor covers every layer yet. But the architecture is becoming clear — and enterprises deploying AI agents at scale will need most of these capabilities within 12 months.
Astrix Security is demonstrating the full suite at RSAC 2026 Booth #4225, with MCP Security Workshops on March 24-25 and an Executive Connections Breakfast on March 24.