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AI Security Startups Map

Interactive, continuously updated map of agentic AI security startups and vendors — runtime guardrails, agentic identity, AI red teaming, governance, and more.

For agents: Interactive map of agentic AI security startups and vendors, with JSON vendor dataset, categories API, and an MCP server for querying vendor details.

ai securityagentic aivendor mapmcp serverai red teamingguardrails

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-27T13:23:31.393Z. Cached copy · Source on prompt.security

---
title: AI Security Startups Map
date: 2026-10-25
lastUpdated: 2026-10-25
published: 2025-06-05
---

# AI Security Startups Map

> Interactive, continuously updated map of agentic AI security startups and vendors — runtime guardrails, agentic identity, AI red teaming, governance, and more.

Curated by Prompt Security. 466 vendors across 14 categories. Includes acquired companies; excludes stealth-mode companies. Last updated: October 25, 2026.

## Key statistics

- Vendors tracked: 466
- Categories: 14
- Countries: 29
- Pre-existing security vendors repositioned into AI security: 148 (32%)
- Disclosed funding: ~$14.9B across 326 vendors
- Top countries: USA (247, 53%), Israel (106, 23%), UK (21, 5%)
- Largest category: Observability & Governance (304 vendors)
- Founded 2023–2025: 268 of 466 (58%); peak year 2025 (113)
- Acquired: 37; top acquirers Check Point (3), PAN (3), Cisco (3)
- Acquisitions by year: 2026: 20, 2025: 13, 2024: 4

## Categories

- **Observability & Governance** (304 vendors): Continuous discovery, inventory, and behavioral profiling of every AI agent across the enterprise. Lifecycle controls, audit trails, and policy enforcement to keep the agent fleet visible and accountable.
- **Runtime & Guardrails** (237 vendors): Inline content inspection and behavioral enforcement at the moment of inference. Blocks prompt injection, jailbreaks, data exfiltration, and unauthorized tool calls before they reach the model or downstream systems.
- **AI Identity** (122 vendors): Issues verifiable, scoped, and revocable identities to AI agents and non-human workloads. Brokers least-privilege access to tools, APIs, and data so each agent action can be authenticated and audited.
- **MCP & LLM Gateways** (110 vendors): Protocol-layer control plane sitting between agents and the MCP servers, tools, and models they call. Per-request auth, scope enforcement, tool-call inspection, and supply-chain governance for the agent ↔ tool boundary.
- **AI Red Teaming** (94 vendors): Automated and human-in-the-loop adversarial testing of agents, models, and AI infrastructure. Generates attack chains, evaluates defenses, and produces auditor-ready findings before vulnerabilities reach production.
- **AI CSPM** (75 vendors): Posture management for AI agents, models, datasets, and pipelines across cloud and SaaS estates. Maps agent dependencies, surfaces misconfigurations, and prioritizes risk before workloads are exploited at runtime.
- **AI Data Governance** (77 vendors): Governs what data AI agents can read, write, and surface to users. Detects oversharing, enforces need-to-know access at inference time, and remediates sensitive-data exposure across the agent supply chain.
- **Model Security** (57 vendors): Secures the model itself across the ML lifecycle — supply-chain scanning of model files for backdoors, malware, and poisoning. Runtime protection against adversarial inputs and integrity drift in production.
- **AI Network Security** (25 vendors): Network
…

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