Govern the AI Agents Your Enterprise Is Building — Before Attackers Do
Enterprise AI adoption has outpaced security governance. ThreatBook runs a three-layer defence: ATI delivers dedicated AI Agent Vulnerability Intelligence — tracking threats against agent frameworks, open-source components, and MCP tooling before they reach your environment. SafeSkill inspects every AI Agent Skill before deployment using multi-dimensional analysis including code logic, LLM intent auditing, and TI-enriched URL inspection. TDP maps every agent deployment on your network, including shadow agents deployed without IT approval, and monitors outbound agent traffic for anomalies. Together they cover the full AI governance gap: threat intelligence, supply chain security, and network-level oversight.
Enterprises deploying AI agents are creating a new estate that needs defending — across three layers: the Skills the agents acquire, the infrastructure they run on, and the vulnerabilities they inherit. AI Governance is ThreatBook’s response: SafeSkill for Skill-layer inspection, TDP® for network-layer AI asset monitoring, ATI for AI-related CVEs. Enterprise AI adoption has outpaced security governance. ThreatBook closes that gap.
AI Agent Adoption Is Outrunning
Enterprise Security Controls
Third-party AI Skill calls are growing 40% monthly in enterprise environments. The same developers deploying these tools are bypassing security review processes designed for traditional software, and open AI Skill marketplaces apply nowhere near the same scrutiny as enterprise software procurement. The attack surface is expanding faster than governance frameworks can track it.
Hidden Malicious Code
ThreatBook scans for malicious packages in open AI Skill marketplaces using techniques including prompt injection, dynamic execution, .env credential exfiltration, and overseas data callback URLs embedded in seemingly legitimate code. Static code review and standard package scanning cannot detect techniques that rely on runtime behavior and LLM context manipulation.
Without IT Knowledge
Developers and business units are deploying AI agent frameworks directly on enterprise infrastructure without IT or security team visibility. These shadow agents make outbound calls, handle sensitive data, and consume cloud APIs, all outside the perimeter of existing DLP, CASB, and network monitoring tools that were not designed for agent traffic patterns.
Demanded by Regulators
Internal security audits and financial regulators are increasingly asking organizations to demonstrate what AI tools are deployed, what third-party Skill calls they make, and how those Skills were vetted before deployment. Most enterprises have no structured audit trail for AI tool introduction, no pre-import inspection record, no marketplace governance log, no ongoing inventory of deployed Skills.
Security for AI: Three Disciplines, One Governance Layer
ATI provides the intelligence foundation: dedicated AI Agent Vulnerability Intelligence that tracks emerging threats against agent frameworks, open-source AI components, and MCP-adjacent tooling. ATI also surfaces CVEs and exploitation patterns in widely-used AI infrastructure before they become active attacks.
SafeSkill applies multi-dimensional analysis to every AI Skill before it enters your environment: metadata review, code logic inspection, LLM intent auditing, TI-enriched URL deep inspection, and sandbox execution to observe runtime behaviour. The 100,000+ validated Skills in Skill Hub provide an immediate whitelist baseline. API integration embeds SafeSkill directly into CI/CD pipelines and internal Skill marketplaces so governance is automated, not manual.
TDP closes the network side: it discovers shadow agents already deployed on your infrastructure, monitors outbound agent traffic for anomalous call patterns, and flags agent services communicating with unexpected external endpoints. The combination gives security teams threat intelligence, pre-deployment inspection, and post-deployment monitoring — a complete AI governance posture.
- ATI tracks AI agent vulnerability intelligence — CVEs and active exploits in AI frameworks, OSS components, and MCP tooling before they reach production
- SafeSkill pre-import inspection scans every Skill via file, URL, or name submission before it enters any environment
- 100,000+ validated Skills in Skill Hub provide an immediate enterprise whitelist, verified, not assumed safe
- TDP discovers undeclared AI agent deployments on your network and maps their outbound traffic patterns
- Structured security reports and audit logs satisfy internal audit and regulatory governance requirements
Four Layers of
AI Agent Security
ATI tracks vulnerabilities and active exploits targeting AI agent frameworks, open-source AI components, and MCP-adjacent tooling. Intelligence feeds directly into SafeSkill's URL deep inspection — flagging callback domains, malicious package sources, and known C2 infrastructure associated with AI agent attacks. Security teams receive advance warning of new AI-specific CVEs before they reach production deployments.
SafeSkill analyzes each Skill across five dimensions simultaneously: metadata review for supply chain indicators, code logic analysis for obfuscated or malicious patterns, LLM intent auditing to detect prompt injection and data exfiltration logic, URL deep inspection against threat intelligence, and sandbox execution to observe runtime behavior that only manifests when the Skill actually runs.
SafeSkill integrates via API into four workflow stages: pre-import inspection before a Skill enters any environment, marketplace audit for internal Skill catalogs, download scanning at point of installation, and inventory audit for Skills already deployed. The API makes governance automatic rather than relying on developer compliance with manual review processes.
TDP's attack surface management module actively discovers AI agent services running on your network, including shadow agents deployed without IT knowledge. Outbound traffic from identified agent services is monitored for unexpected external endpoints, unusual data volumes, and callback patterns consistent with compromised or malicious Skill behavior.
From Skill Import to
Continuous AI Network Governance
ThreatBook's AI governance framework covers the full lifecycle: inspect before import, govern at the marketplace, discover what's already deployed, and monitor continuously. Each stage produces a structured audit record for compliance and incident response.
Every Skill is submitted to SafeSkill before entering any environment, via file upload, URL submission, or package name. The five-dimensional analysis runs in minutes and returns a structured security report: safe, suspicious, or malicious, with a detailed finding breakdown.
SafeSkill API integrates into internal Skill marketplaces and CI/CD pipelines. Every Skill added to the internal catalog is scanned automatically. Weekly re-scans flag Skills that have been updated or that new threat intelligence has implicated since initial approval.
TDP maps all agent deployments across your network infrastructure, including shadow agents the IT team doesn't know about. Each discovered agent service is inventoried with its outbound connection profile, giving security teams a complete picture of actual AI deployment versus approved deployment.
SafeSkill runs weekly dynamic and scheduled re-scans of all listed Skills. TDP monitors agent service outbound traffic continuously, alerting on anomalous patterns, unexpected external callbacks, data volume spikes, or connections to newly identified malicious infrastructure.
What Security Teams Achieve with ThreatBook
The SafeSkill Skill Hub provides a pre-validated catalog of over 100,000 Skills across 10 enterprise use scenarios. Defenders can adopt AI tools at pace without waiting on manual security review for every new Skill.
SafeSkill's four integration stages ensure no Skill enters or persists in the enterprise environment without a security record, creating the audit trail that internal security audits and financial regulators are beginning to require for AI tool governance.
The ThreatBook Products Behind This Use Case
Advanced Threat Intelligence platform with dedicated AI Agent Vulnerability Intelligence. Tracks CVEs and active exploits in AI frameworks, open-source components, and MCP tooling. Powers SafeSkill's TI-enriched URL inspection. 400,000+ vulnerabilities tracked, 99.9% IOC accuracy.
Learn moreAI Agent Skills security platform. Pre-import inspection, marketplace governance, and inventory auditing via API. 100,000+ validated Skills. Multi-dimensional detection: metadata, code logic, LLM intent audit, sandbox execution. Proven: intercepted .env exfiltration, blocked C2 code.
Learn moreIntelligence-enriched NDR with attack surface management including AI agent discovery. Maps shadow agents, monitors outbound agent traffic for anomalies. <0.03% false positive rate.
Learn moreSee What AI Agents Are
Running on Your Network
Book a 30-minute session. We'll show you how TDP maps AI agent deployments in your environment and how SafeSkill integrates into your existing CI/CD pipeline to automate Skill governance without adding friction to development velocity.
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