Best AI Agent Security Tools 2026: Agentic AI Security Compared
For security teams responsible for AI agents: SaaS copilots and agents, agents built in-house, coding agents on developer laptops, and the MCP servers they all call. Agent security tools do three jobs. They find the agents and what each can reach, decide what each agent may do, and stop unsafe actions while the agent runs. This list ranks tools on those three jobs. For the wider market see Best AI Security Vendors 2026; for inventory and misconfiguration scanning see Best AI Security Posture Management (AI-SPM) Tools 2026; for testing agents before launch see Best AI Red Team Tools 2026.
Last checked October 30, 2026
Editorial independence: aicompliancevendors.com does not accept vendor payment for inclusion or ranking. Every pick below is editor-selected against the criteria stated on this page, and every factual claim is traceable to a cited public source.
Top picks: Noma Security — Enterprises that want one registry and one policy layer for SaaS, endpoint and homegrown agents; Zenity — Enterprises with agents across Microsoft, OpenAI, Anthropic, Salesforce and ServiceNow platforms plus homegrown and coding agents; Lasso Security — Teams running agents on several platforms that want inline, intent-aware guardrails. Plus 5 more vendors reviewed below. Last updated October 30, 2026; every entry cites public sources.
How we decided which vendors qualify for inclusion.
Discovers agents and the tools or MCP servers they reach, documented on the vendor's own site.
Controls what each agent may do: identity, permissions, or allow and block lists for tools and MCP servers.
Enforces policy at runtime on agent actions or tool calls (block, redact or route to a human), not only alerts afterwards.
Detects prompt injection or tool misuse in agent workflows.
Product pages checked on October 30, 2026; the vendor is profiled in our directory.
We read each vendor's agent and MCP pages, data sheets and launch notes on October 30, 2026. Ranking weighs coverage of the three jobs (discover, control, enforce), the range of agent types covered (SaaS, homegrown, endpoint and coding agents), the depth of MCP coverage and whether prices are published. Latency and accuracy figures are vendor claims we have not tested. No vendor paid for placement.
Noma launched Agent Access Control on June 2, 2026. It builds a live registry of agents, MCP servers, skills and tools, ties policies to identity provider users and groups, and enforces tool-level and action-level rules, so access to a tool need not mean access to every operation it offers. AI-DR watches each agent session and detects prompt injection (including indirect injection through tool responses), tool poisoning, scope violations and agents drifting from their baseline. It can block an action, mask data, steer the agent, route the action to a human or trigger a killswitch. Enforcement runs through agent hooks, AI and MCP gateways, EDR or MDM tools, and direct APIs, and Noma covers SaaS agents, endpoint agents and agents built in-house. No public prices.
Strengths
Tool-level and action-level policies tied to identity provider users and groups.
Human approval and a killswitch for risky actions.
Covers SaaS, endpoint and homegrown agents.
Limitations
No public prices.
Endpoint coverage relies on your EDR or MDM tools.
Zenity covers SaaS agents (Microsoft 365 Copilot, Copilot Studio, ChatGPT Enterprise, Claude Enterprise, Salesforce Agentforce and ServiceNow), homegrown agents on Amazon Bedrock, Google Vertex AI and Microsoft Foundry, and coding agents such as Cursor, Claude Code, Codex and GitHub Copilot, which it watches through native agent hooks and OpenTelemetry. Runtime Boundaries checks each agent action before it runs and allows it, blocks it or shuts the agent down; Zenity says about a third of its built-in rules catch multi-step chains such as data exfiltration or privilege escalation. Agentic Identity ties rules to the identity behind the agent in Okta or Microsoft Entra ID, for example stopping an agent whose owner has been deactivated. Its MCP gateway allows, modifies or blocks tool calls and flags tool poisoning, rug pulls and shadow or over-scoped servers. AIDR detects direct and indirect prompt injection, tool misuse and memory poisoning. Zenity raised a $125 million Series C led by Norwest in August 2026. It shows no prices on its site; its AWS Marketplace listing for AWS Security Hub Extended is usage-based, at $130 per resource a month for observability and $16 per million tokens a month for runtime protection.
Strengths
Covers SaaS, homegrown and coding agents, and names the platforms it supports in each.
Runtime rules tied to Okta or Microsoft Entra ID identities.
MCP gateway that allows, modifies or blocks tool calls.
Limitations
No human-approval step described: actions are allowed or blocked, or the agent is shut down.
No prices on its own site; the AWS Marketplace prices cover only its Security Hub Extended listing.
Lasso discovers and inventories agents, profiling each by model, system prompt, tools and guardrails, and scores MCP servers, APIs and external connections by their permissions and actions. Lasso says its policies are intent-aware: they look at what an agent is trying to do, not only at its inputs and outputs. Role-based permissions and data loss prevention rules are enforced at runtime. Guardrails run inline at the proxy, API or AI gateway layer, with blocking in under 50 ms by Lasso's account, and detect indirect prompt injection across MCP tool calls. Its agent page names Vertex AI, Microsoft Copilot, AWS Bedrock and Salesforce Agentforce as well as custom agents, deployed through a gateway, API or SDK. No public prices.
Strengths
MCP servers and external connections risk-scored by permissions and actions.
Inline blocking at the proxy, API or gateway layer (under 50 ms, per Lasso).
Detects indirect prompt injection across MCP tool calls.
Limitations
No public prices.
The latency figure is a vendor claim we have not tested.
Cisco AI Defense's AI Inventory discovers MCP servers and agent processes across cloud environments, and its supply chain module scans MCP servers, model files and repositories and scores each asset. At runtime it enforces allowlists and blocklists for MCP tools and detects agent threats including memory poisoning, tool misuse, privilege escalation, intent hijacking and deceptive agent behavior (data sheet updated October 26, 2026). On February 10, 2026 Cisco announced an AI BOM, an MCP Catalog of servers and registries, multi-turn red teaming for agents and real-time agentic guardrails, and said some of these products were still in development. No public prices.
Strengths
MCP servers discovered, scanned and controlled with tool allow and block lists.
Detections for memory poisoning, tool misuse and privilege escalation.
Agent red teaming in the same product.
Limitations
No public prices.
Per-agent identity controls are not described on the data sheet.
Prisma AIRS has two agent-specific parts. Agent Identity Security gathers active agent deployments in one place with clear ownership, and verifies agent identities against impersonation and stolen-token reuse. Agentic Endpoint Security governs autonomous agents on endpoints. AI Runtime Security protects apps and agents in real time, blocking prompt injection, malicious URLs and poisoned content and securing interactions between apps, models, users, agents, plugins and external systems. The same platform includes an AI Gateway, red teaming and model scanning. Its pages show no prices.
Strengths
Agent identity verification against impersonation and stolen-token reuse.
Endpoint agent governance plus runtime protection on one platform.
Red teaming and model scanning in the same platform.
Limitations
No public prices.
MCP coverage is not described on its agent identity or runtime pages.
WitnessAI launched Agentic Control on June 17, 2026 and made it available to all customers. It discovers agents and the MCP servers, tools and systems each one reaches, scores known MCP tools against OWASP and CVE risk classes in an MCP Catalog, and enforces one organization-wide allow list of MCP servers and tools. Every blocked tool call records the user, agent, tool and rule, and agent-to-agent activity stays tied to the person who started it. Guardrails block prompt injection and jailbreaks; WitnessAI reports a 99.3% true positive rate on its own benchmark. Discovery runs at the network, with REST APIs for custom agents. On AWS Marketplace, Agentic Visibility costs $24 per agent for 12 months with a 2,500-agent minimum.
Strengths
Published AWS Marketplace prices: $24 per agent for 12 months.
MCP Catalog scores tools against OWASP and CVE risk classes.
Blocked tool calls logged with user, agent, tool and rule.
Limitations
The 2,500-agent and 1,000-user minimums on AWS Marketplace suit large enterprises.
The accuracy figure comes from WitnessAI's own benchmark.
Pillar's Agentic Endpoint finds coding agents, MCP servers, skills and plugins on each developer machine, audits agent settings such as permission rules, sandbox modes and hooks, and scores MCP servers against a catalog of 23,000+ analyzed servers. Its Runtime Guardian sits in the pre-tool hook of Claude Code, Codex CLI and Cursor and checks actions before they run; full configuration scans also cover Gemini CLI, OpenCode and Pi. Pillar's runtime guardrails track tool invocations, flag agents that drift from their business role, stop malicious instructions in user or retrieved content, and deploy in your VPC. No public prices.
Strengths
Pre-action checks inside Claude Code, Codex CLI and Cursor.
MCP servers scored against a catalog of 23,000+ servers.
Deploys in your VPC.
Limitations
No public prices.
Pre-action enforcement covers three coding agents as of October 2026.
Knostic's Kirin checks every coding-agent tool call against policy before it runs, and blocks dangerous commands, downgrades them or routes them to a human. It names Cursor, Claude Code, GitHub Copilot, Windsurf, Codex, JetBrains, Devin Desktop and Gemini CLI, plus Claude Cowork through a plugin. Its AgentMesh catalog scans skills, MCP servers and VS Code extensions and labels each dangerous, risky or clean. Prices are public: Kirin is free for 1 to 5 users, the Team plan is $15 per user a month with a 14-day trial, and Enterprise is quoted. Browsing AgentMesh is free, and paid AgentMesh plans include Kirin.
Strengths
Free tier for 1 to 5 users; Team plan at $15 per user a month.
Covers eight named coding agents plus Claude Cowork.
AgentMesh verdicts on MCP servers, skills and extensions.
Limitations
Built for coding agents, not SaaS or homegrown business agents.
Advanced contextual detection is an add-on on the Team plan.
Criteria-based recommendations for the most common shortlist scenarios.
Match the tool to where your agents run. For SaaS, endpoint and homegrown agents under one policy, start with Noma, Zenity or Lasso; Zenity's named SaaS coverage includes ChatGPT Enterprise, Claude Enterprise and ServiceNow. Cisco AI Defense and Prisma AIRS suit teams that already buy from Cisco or Palo Alto Networks. WitnessAI governs agent traffic at the network and lists per-agent prices on AWS Marketplace; Zenity lists usage-based prices there for its AWS Security Hub Extended listing. For coding agents, Pillar and Knostic work inside the IDE or CLI, and Knostic publishes its prices.
Other profiled vendors with agent features: SentinelOne's Prompt Security enforces least privilege for agents and discovers shadow MCP servers. HiddenLayer added agent session reconstruction and blocking of malicious tool calls in March 2026. F5 AI Guardrails enforces guardrails on agent actions and tool use. DeepKeep's AI Agent Scanner maps tools, permissions and orchestration paths before deployment. Prediction Guard registers each agent with an identity and a role inside your own infrastructure. Harmonic Security's MCP Gateway (October 2025) and Nightfall AI's AI Agent Security (early preview, June 2026) focus on keeping sensitive data out of agent and MCP traffic. For prompt-level controls read AI guardrails, and test agents before launch with the tools in Best AI Red Team Tools 2026. Security tools enforce controls; deciding which agents may run, with what authority and who signs off, is a governance job covered in AI agent governance.
What we did not include
Transparency about exclusions.
Not profiled yet, so not ranked: CrowdStrike, whose AI Detection and Response (AIDR) came with its agreement to buy Pangea (announced September 16, 2025), and Microsoft, which from July 1, 2026 requires a Microsoft Agent 365 license for agent discovery and agent-level posture in Defender for Cloud. Prompt Security, HiddenLayer, F5 AI Guardrails, DeepKeep, Prediction Guard, Harmonic Security and Nightfall AI are profiled and named in the guidance rather than ranked: each documents agent controls, but for a narrower slice of the problem (data leakage, pre-deployment scanning or self-hosted model access) or with less detail on its own pages than the eight ranked tools.
Frequently asked
What is agentic AI security?+
Agentic AI security protects AI agents that take actions: calling tools, reading data, writing code or talking to other agents. It covers three jobs. Discovery finds every agent and the tools and MCP servers it can reach. Access control decides what each agent may do, by identity, role or allow lists. Runtime enforcement blocks unsafe actions, such as a tool call triggered by prompt injection, before they run. The OWASP GenAI Security Project published its Top 10 for Agentic Applications on December 9, 2025 as a shared list of these risks.
What is MCP security?+
MCP security protects Model Context Protocol servers, the connectors agents use to reach tools and data. The MCP specification's security best practices page covers confused deputy attacks through MCP proxy servers, token passthrough (which the authorization spec forbids: servers must not accept tokens not issued to them), server-side request forgery, compromise of local MCP servers, and scope minimization. Tools in this list address MCP in different ways: Noma governs MCP servers, skills and tools at the tool level; Zenity's MCP gateway allows, modifies or blocks tool calls and flags tool poisoning and rug pulls; Cisco AI Defense discovers and scans MCP servers and enforces tool allow and block lists; WitnessAI scores MCP tools in a catalog; Pillar scores servers against 23,000+ analyzed servers; Knostic's AgentMesh labels servers dangerous, risky or clean. Harmonic Security also sells an MCP Gateway.
How is AI agent security different from LLM guardrails?+
Guardrails inspect prompts and responses for prompt injection, jailbreaks and sensitive data. Agent security adds controls on actions: which tools and MCP servers an agent may call, under whose identity, and what happens when a call breaks policy. Most agent security tools include guardrails, but a guardrail on its own does not inventory agents or limit their permissions. See AI guardrails for how guardrails work.
How do I secure coding agents like Claude Code and Cursor?+
Use a tool that runs on the developer machine or inside the agent's hooks. Pillar's Runtime Guardian checks actions in the pre-tool hook of Claude Code, Codex CLI and Cursor. Knostic's Kirin checks tool calls before they run across eight named coding agents, with a free tier for 1 to 5 users. Zenity watches Cursor, Claude Code, Codex and GitHub Copilot through native agent hooks and OpenTelemetry and enforces policy through its MCP gateway. Nightfall AI's Premier edition adds hooks for Cursor, Claude Code and VS Code with MCP discovery. Prisma AIRS offers Agentic Endpoint Security. Start with an inventory of which agents and MCP servers developers have installed.
Do AI agents need their own identities?+
Increasingly, yes, so that every action can be traced and limited. Prisma AIRS Agent Identity Security verifies agent identities against impersonation and stolen-token reuse. Noma ties agent policies to identity provider users and groups. Zenity gates agent actions on the identity behind them in Okta or Microsoft Entra ID, for example blocking an agent whose owner has been deactivated. Prediction Guard registers each agent with an identity and a role before it runs. WitnessAI keeps agent-to-agent activity tied to the human who started the workflow. Microsoft now requires a Microsoft Agent 365 license (from July 1, 2026) for agent discovery and agent-level posture in Defender for Cloud.