General Analysis AIDR
Monitors & responds to AI agent risks at the execution layer.
General Analysis AIDR
Monitors & responds to AI agent risks at the execution layer.
Data verified Jun 2026
ADYour product here. Reach security decision-makers.Launch a campaignGeneral Analysis AIDR Description
Agentic AI Security
LLM Security
MCP Security
Shadow AI
Prompt Injection
Data Exfiltration
AI Observability
GenAI Security
LLM Guardrails
Inventory
AI Detection and Response (AIDR) is a security platform from General Analysis designed to monitor, detect, and respond to risks introduced by AI agents operating within enterprise environments. The platform focuses on the execution layer, capturing agent activity across coding agents, internal copilots, MCP (Model Context Protocol) servers, enterprise production agents, and shadow AI. It operates via an endpoint-native sensor, meaning it captures activity where agents execute rather than relying solely on gateway traffic inspection. Core operational flow: - Observe: Discovers and inventories all known, unknown, and shadow AI agents, then traces behavior through instructions, tools, browsers, files, and downstream changes - Detect: Correlates signals across the execution chain to score risky intent, identifying exfiltration, privilege abuse, destructive actions, and policy drift - Respond: Applies containment at the appropriate layer — blocking commands, requiring approval, redacting output, pausing connectors, or quarantining sessions - Harden: Promotes confirmed incidents into red-team tests, runtime policies, ownership tasks, and regression suites Detection capabilities include: - Direct and indirect prompt injection - Tool result poisoning - Data exfiltration - Credential exposure - Unsafe autonomy - MCP server misuse Response actions include blocking tool calls or terminal commands, scoping down permissions, pausing MCP routes, revoking tokens, quarantining agent sessions, and opening incidents with full trace evidence. The platform maintains an agent inventory that maps enterprise-licensed agents, developer tools, self-hosted agents, browser assistants, and shadow AI to their respective owners. It correlates prompts and model traffic with repositories, secrets, local files, SaaS scopes, APIs, and MCP data sources.
General Analysis AIDR FAQ
Common questions about General Analysis AIDR including features, pricing, alternatives, and user reviews.
General Analysis AIDR is Monitors & responds to AI agent risks at the execution layer, developed by General Analysis. It is a Security for AI solution designed to help security teams with Agentic AI Security, LLM Security, MCP Security.
General Analysis AIDR offers the following core capabilities:
1.AI agent discovery and inventory across enterprise, local, and shadow AI
2.Endpoint-native sensor for capturing agent activity at execution layer
3.Prompt injection and tool result poisoning detection
4.Data exfiltration and credential exposure detection
5.MCP server monitoring and misuse detection
6.Automated response actions including block, quarantine, scope reduction, and session pause
7.Full execution graph linking prompts, tool calls, file access, and external actions to incidents
8.Agent-to-owner attribution with identity, platform, and data access context
9.Policy-driven incident correlation across agent inventory, endpoint activity, and MCP tool results
10.Incident replay and regression testing against future model and policy changes
General Analysis AIDR integrates natively with Claude Code, OpenAI Codex, Cursor, DeepSeek, MCP servers, AI gateways, SaaS copilots, Browser controls, Endpoint telemetry, Identity systems. Integration support lets security teams connect General Analysis AIDR to existing SIEM, ticketing, identity, and notification systems without custom development.
General Analysis AIDR is built for security teams handling Agentic AI Security, LLM Security, MCP Security, Shadow AI. It supports workflows including ai agent discovery and inventory across enterprise, local, and shadow ai, endpoint-native sensor for capturing agent activity at execution layer, prompt injection and tool result poisoning detection. Teams typically adopt General Analysis AIDR when they need to security for ai capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/general-analysis-aidr
General Analysis AIDR is a commercial Security for AI solution. For detailed pricing information, visit https://generalanalysis.com/products/ai-detection-and-response or contact General Analysis directly.
Popular alternatives to General Analysis AIDR include:
1.Onyx Platform - AI control plane for enterprise AI agent security, governance, and observability. (Commercial)
2.Certiv - Runtime security platform for discovering, monitoring, and controlling AI agents. (Commercial)
3.Discover AI - AI agent discovery & security posture mgmt for enterprise agentic ecosystems. (Commercial)
4.Archestra Enterprise MCP Platform - Enterprise platform for securing, governing, and orchestrating MCP servers and AI agents. (Commercial)
5.DapplePot - AI agent fleet security platform for runtime monitoring and threat detection. (Commercial)
Compare all General Analysis AIDR alternatives at https://cybersectools.com/alternatives/general-analysis-aidr
General Analysis AIDR is for security teams and organizations that need Agentic AI Security, LLM Security, MCP Security, Shadow AI, Prompt Injection. It's particularly suitable for enterprises requiring robust, commercial-grade security capabilities. Other Security for AI tools can be found at https://cybersectools.com/categories/ai-security
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