TruClaw™ Govern Every AI Agent.
Stop Every Shadow Agent.
TruClaw™ is Visium's agentic AI governance and control layer — built into TruContext™ — that monitors, constrains, and governs autonomous AI agents in real time, closing the attack surface opened by tools like OpenClaw and other open-source agentic frameworks before they can exploit your environment.
The OpenClaw / Shadow AI Threat Is Real
Open-source agentic frameworks like OpenClaw (Clawdbot / Moltbot) enable autonomous AI agents to chain actions, execute code, traverse networks, and exfiltrate data — entirely outside traditional security controls. Conventional SIEMs are blind to agent-level behavior. TruClaw was built to close that gap.
Your Security Stack Wasn't Built for AI Agents
Agentic AI introduces a category of threat that firewalls, EDR, and SIEM platforms were never designed to address. Every autonomous agent is a potential vector.
Shadow AI Proliferation
Unauthorized AI agents and open-source agentic frameworks (OpenClaw, AutoGPT, LangChain-based tools) deploy undetected inside enterprise environments with no governance in place.
Prompt Injection Attacks
Adversaries embed malicious instructions into documents, emails, and data feeds that hijack trusted AI agents, redirecting them to exfiltrate data or execute unauthorized commands.
Unbounded Agent Privileges
Most organizations deploy AI agents with over-provisioned permissions. A single compromised agent can traverse networks, escalate privileges, and access sensitive systems laterally.
Multi-Agent Chain Attacks
Sophisticated threat actors exploit agent-to-agent trust relationships, turning legitimate orchestration pipelines into attack chains that are invisible to traditional monitoring tools.
AI Supply Chain Risk
Malicious or tampered AI models, plugins, and toolchains introduce backdoors and poisoned instructions at the source, bypassing runtime security entirely.
Zero Audit Trail
When an AI agent acts — querying a database, calling an API, writing code — most organizations have no record of what it did, why, or with what authorization. Compliance becomes impossible.
TruClaw™: Agentic AI Governance Inside TruContext™
TruClaw is the AI governance and control layer within the TruContext™ platform — sitting between your AI agents and enterprise systems to enforce policy, log every action, and terminate unauthorized behavior in real time.
Built on TruContext's patented dual-database architecture and MITRE CyGraph heritage, TruClaw extends graph-based threat intelligence to the agent layer — mapping AI agent relationships, permissions, actions, and dependencies the same way TruContext maps network threats.
TruClaw integrates directly with Visium's ELI (Ethical Layered Intelligence) framework to enforce configurable governance policies — giving security teams full, explainable control over every AI agent operating inside or adjacent to their environment.
TruContext™ Platform Stack
Six Pillars of AI Agent Governance
TruClaw combines real-time monitoring, policy enforcement, and graph-based intelligence to give security teams unprecedented control over the agentic AI layer.
Agent Behavior Monitoring
Continuous, real-time visibility into every AI agent action — API calls, data access, code execution, inter-agent communications — with full explainable audit trails. No agent action goes unrecorded.
Prompt Injection Defense
TruClaw inspects all inputs to trusted AI agents in real time, detecting and blocking adversarial prompt injections before they redirect agent behavior — protecting both internal and externally-facing agents.
Shadow AI Detection
Automatically discovers unauthorized AI agents, open-source frameworks, and unsanctioned LLM integrations operating inside your network perimeter, surfacing Shadow AI that bypasses procurement controls.
Zero Trust Agent Policy
Enforce least-privilege for every AI agent. TruClaw maps each agent's declared scope against actual behavior, flagging privilege creep and automatically quarantining agents that exceed authorization boundaries.
AI Supply Chain Integrity
Validate the provenance, integrity, and version history of every AI model, plugin, and tool in your agent ecosystem. Detect tampered models and poisoned toolchains before they execute in your environment.
Multi-Agent Graph Mapping
Leveraging TruContext's graph database, TruClaw visualizes trust relationships and communication patterns between AI agents — exposing lateral movement paths, rogue orchestration chains, and multi-agent attack progressions.
From Agent Discovery to Real-Time Enforcement
TruClaw operates in four continuous phases, building a living map of your AI agent ecosystem and enforcing governance policy at every step.
Discover & Inventory
TruClaw scans your environment — cloud, on-prem, and hybrid — to build a complete inventory of all AI agents, LLM integrations, and agentic frameworks, authorized or otherwise.
Map & Contextualize
Using TruContext's graph engine, TruClaw maps each agent's permission scope, data access patterns, tool dependencies, and inter-agent relationships — giving you a complete picture of your agentic attack surface.
Monitor & Detect
Every agent action is compared against its baseline and policy in real time. TruClaw detects anomalies — unusual data access, privilege escalation, prompt injection indicators, and unauthorized tool use — as they occur.
Enforce & Respond
When policy violations are detected, TruClaw — guided by ELI governance rules — can alert, throttle, redirect, or quarantine the offending agent autonomously, with full documentation for compliance and incident response.
TruClaw Detection Coverage
See TruClaw in Action
Watch how TruClaw discovers shadow AI agents, visualizes their relationships, and enforces governance policies in real time.
Agents Discovered
2
Policies Enforced
0
Threats Blocked
0
AI Agents in Your Environment
DocumentProcessor
ID: agent-1
DataAnalyzer
ID: agent-2
Demo Simulation: This interactive demo shows how TruClaw discovers shadow AI agents in real-time, monitors their behavior, and enforces governance policies. Watch as unauthorized agents are detected and quarantined automatically. In production, TruClaw provides sub-second detection latency and comprehensive audit trails for compliance.
AI Agent Relationship Mapping
TruClaw visualizes the complex relationships and communication patterns between AI agents, exposing lateral movement paths and multi-agent attack chains.
Agent Relationship Graph
Click on any agent node to view detailed information. Dashed lines indicate privilege escalation risks.
Agent Types
Connection Types
Measurable AI Governance From Day One
Most customers achieve full AI agent inventory and active policy enforcement within the first 30 days of TruClaw deployment.
Agent Action Visibility
Every AI agent action logged, contextualized, and auditable
Policy Enforcement Latency
Real-time governance with sub-second response to violations
Reduction in Shadow AI Risk
Unauthorized agentic frameworks discovered and governed on first scan
Time to Full Governance
Complete agent inventory, policy baseline, and active enforcement
No Other Platform Governs AI Agents Like This
Existing security tools were built before autonomous AI agents existed. TruClaw is built for the agentic AI era — purpose-designed from the ground up.
| Capability | TruClaw™ (Visium) | Traditional SIEM | Generic AI Security Tools |
|---|---|---|---|
| Shadow AI Agent Discovery | ✓ Automated, real-time | ✗ Not designed for agents | ✗ Limited to known vendors |
| Prompt Injection Detection | ✓ Real-time interception | ✗ Not applicable | ⚠️ Partial coverage only |
| Agent Privilege Enforcement | ✓ Zero Trust per agent | ✗ Network-level only | ⚠️ Policy definition only |
| Multi-Agent Chain Visualization | ✓ Graph-based mapping | ✗ No agent awareness | ✗ Single-agent only |
| AI Supply Chain Integrity | ✓ Model + plugin validation | ✗ Not applicable | ⚠️ Vendor-specific only |
| Explainable AI Governance | ✓ Full audit trail via ELI | ⚠️ Log-based, no context | ⚠️ Black-box decisions |
| MITRE ATLAS Alignment | ✓ Native integration | ✗ MITRE ATT&CK only | ✗ Not aligned |
| Real-Time Autonomous Response | ✓ Quarantine, throttle, alert | ⚠️ Alert only | ⚠️ Alert only |
TruClaw Across Every Industry
Wherever autonomous AI agents operate, TruClaw provides the governance layer that keeps them within sanctioned boundaries.
Government & Defense
Enforce strict governance over AI agents operating in classified or sensitive environments, with MITRE ATLAS-aligned detection and full FedRAMP-ready audit trails.
Healthcare
Control AI agents accessing EHR systems and patient data. Prevent unauthorized data exfiltration and enforce HIPAA-compliant agent permissions in clinical AI deployments.
Financial Services
Govern AI trading agents, fraud detection models, and customer-facing LLMs. Detect prompt injection attempts targeting financial AI and enforce SOC 2-aligned agent policies.
Critical Infrastructure
Protect OT/ICS environments from AI agents operating beyond their sanctioned scope. Graph-map agent relationships to SCADA systems to detect and prevent cross-domain lateral movement.
Smart Cities
Govern hundreds of concurrent AI agents managing cameras, sensors, traffic systems, and public safety platforms. Ensure no single rogue agent can affect city-wide operations.
Enterprise R&D
Control internal AI coding agents, research assistants, and automation tools. Prevent IP exfiltration, enforce data residency policies, and maintain full audit trails for compliance.