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Discover, Inventory, and Secure Your AI Estate

Every new agent, MCP server, and tool is a potential blind spot. AppSentinels closes that gap by catching shadow agents, unregistered tools, and unauthorized AI assets the moment they spin up, across every runtime and platform you run.

See Continuous Discovery in Action

Everything Running. Everything Protected. Everything Mapped

Discover what's running, protect the data flowing through it, and map how every component connects. Empower your security teams with complete, continuous control over your AI environment.

Gain Complete Visibility Across Your Entire AI Assets

  • LLM Instance & AI Asset Discovery: Continuously discovers and inventories LLM instances, AI models, agents, tools, and supporting AI services across your environment, providing complete visibility into your AI estate.
  • Agent framework & MCP server detection: Identifies agentic frameworks, and enumerates MCP servers, tools, and their permission scope
  • Vector database discovery: Detects vector stores connected to RAG pipelines and AI workflows
  • Shadow asset & continuous re-discovery: Surfaces undocumented, unapproved, or forgotten AI components, and keeps the inventory fresh as your environment evolves in real time
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Protect Regulated Data Flowing Through AI Workflows

  • PII & regulated data scanning: Identifies SSN, credit card, health records, and other sensitive data in requests and responses
  • Secret & credential detection: Flags API keys, tokens, and passwords inadvertently exposed in AI context windows
  • Prompt leakage analysis: Detects system prompt exposure
  • MCP Feature Auditor: Audits MCP features for tool poisoning, indirect prompt injection attacks
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Map AI Components and the Relationships Between Them

  • Agent-tool graph mapping: Visualizes which AI agents call which tools and under what conditions
  • Workflow-level visibility: Traces data as it flows through chained AI agents end-to-end
  • Drift detection: Alerts when live behavior diverges from documented specs or expected interaction patterns
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Govern and Strengthen Your AI Security Posture

  • Model configuration audits: Flags models with excessive permissions, disabled safety guardrails, or insecure system prompts
  • Rate limit & quota gaps: Identifies AI endpoints lacking proper rate controls, enabling abuse at scale
  • Policy compliance scoring: Benchmarks configurations against OWASP LLM Top-10 and internal governance policies
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See Every AI Asset Before
Attackers Do.

Get a live inventory of your AI estate in minutes. No agents required for initial discovery. Works across cloud, on-prem, and air-gapped environments.

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Frequently Asked Questions

Why is continuous AI asset discovery important?

AI environments change rapidly as developers deploy new agents, models, MCP servers, tools, and RAG components. Continuous discovery helps security teams identify shadow AI assets, maintain an accurate inventory, and detect unmanaged systems before they introduce security, compliance, or governance risks.

AppSentinels continuously discovers and inventories AI agents, MCP servers, LLMs, vector databases, AI frameworks, tools, plugins, and other connected AI components. It also identifies shadow AI assets that may not be documented in existing asset management systems.

AI Security Posture Management (AI-SPM) is the continuous assessment and monitoring of AI systems to identify security risks, misconfigurations, governance gaps, and compliance issues across AI models, agents, APIs they invoke, and supporting infrastructure. While Cloud Security Posture Management (CSPM) focuses on cloud infrastructure, AI-SPM focuses on AI-specific risks such as model permissions, safety guardrails, prompt security, agent behavior, tool access, and AI governance controls.

Yes. AppSentinels continuously monitors AI environments to identify unauthorized agents, unmanaged MCP servers, unapproved models, and undocumented AI services. Security teams are alerted whenever new AI assets appear or when existing assets deviate from approved configurations.

AppSentinels helps organizations enforce AI governance policies by continuously auditing AI configurations, monitoring sensitive data exposure, tracking AI-to-tool interactions, and assessing compliance against frameworks such as OWASP LLM Top 10 and internal security policies. This provides ongoing visibility into compliance posture and governance effectiveness.