AI Agent Security: 11 Tools compared
11 AI Agent Security Tools, side by side
| Tool | Deployment | Pricing model | Open source |
|---|---|---|---|
| ranwhat | Self-hosted | Free open-source core; paid Plus subscription | Yes |
| Harden | Self-hosted | Free for individuals; enterprise on request | — |
| HiddenLayer | Cloud + Self-hosted | Subscription (annual contract via AWS Marketplace; private offers) | — |
| HOL Guard | Cloud + Self-hosted | Open source (Apache-2.0) with optional paid cloud subscription | Yes |
| Lakera | Cloud | Contact sales (free account sign-up offered, tiers not published) | — |
| Lasso Security | Cloud | Subscription (annual contract via AWS Marketplace; private offers) | — |
| Noma Security | Cloud | Contact sales | — |
| Pillar Security | Cloud + Self-hosted | Contact sales | — |
| Prompt Security | Cloud | Contact sales | — |
| Straiker | Cloud + Self-hosted | Subscription (annual contract via AWS Marketplace; contact sales) | — |
| Zenity | Cloud | Usage-based subscription via AWS Marketplace; contact sales for direct contracts | — |
Harden
AI Agent SecurityDevelopers and teams running coding agents such as Claude Code, Codex or Cursor who want tool calls checked on the machine before they execute
Harden's Agentic Integrity Foundation is a guardrail for AI coding agents that runs on the developer's own machine. It checks each supported tool call an agent is about to make before it executes, and then allows it, redacts it, asks, logs it, or blocks it and suggests a safer retry. Harden says the checks run against its own post-trained model using the request and session context, and that repository content and tool output stay on the machine. It attaches to agents through native hooks where those exist and through an MCP proxy for the rest, and the vendor lists Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes and OpenClaw as supported, with a version matrix it rechecks on each release. Decisions are kept in a local history. The full local model needs macOS on Apple Silicon, the command line tool and daemon run on macOS or Linux x86_64, at least 16 GB of memory is required and Windows is not supported. Harden publishes its own results for four agent-security benchmarks against a GPT monitor baseline. The company was founded by Pushpak Pujari and Pushpendre Rastogi.
HOL Guard
AI Agent SecurityDevelopers and teams using AI coding agents who want local pre-execution controls on risky actions without sending data to a cloud service.
HOL Guard is an open-source, local-first runtime security layer that sits between an AI coding agent and the tools it wants to run. It evaluates shell commands, file access, package installs and MCP tool calls before execution and allows, blocks or routes them for approval according to policy, with the vendor stating that checks take under 50 ms and that files never leave the machine. It supports agents including Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot CLI, installs via pipx on Python 3.10 or later, and offers desktop installers for Apple silicon macOS 13 and later, Linux x86_64 and Windows x64, with Windows marked experimental. The core is Apache-2.0 and needs no account, while an optional Guard Cloud adds shared history, team policy and dashboards at USD 4.99 (Solo), USD 15 (Pro) and USD 30 per seat (Team) per month. It is made by HOL, operated by Hashgraph Online DAO LLC, a consortium established in November 2024 whose founding members include HashPack and Hgraph. The GitHub repository shows 570 stars and 3,705 commits, and PyPI lists version 3.0.131 released on 8 September 2026.
Lakera
AI Agent SecurityEnterprises that want runtime guardrails, agent tool governance and red teaming from a vendor now inside a large security platform (Check Point).
Lakera is an AI security platform, now part of Check Point Software Technologies, that lists Workforce AI Security, AI Agent Security, AI Red Teaming and an AI Red Teaming Service as its products. The AI Agent Security product discovers agents and MCP servers, blocks prompt injection and jailbreaks, prevents data leakage in prompts and responses and controls what tools agents may call, while the red teaming product is offered as a self-service platform or an expert-led service. It is delivered as SaaS through a REST API (POST to api.lakera.ai/v2/guard) with Python, JavaScript and cURL examples, and the documentation site also exposes an MCP server for AI coding clients. Lakera was founded in 2021 by David Haber, Mateo Rojas-Carulla and Matthias Kraft and is dual-headquartered in Zurich and San Francisco; Check Point announced its agreement to acquire the company on 16 September 2025, and SecurityWeek reported an estimated value of about USD 300 million. Pricing is not published. The product trust centre lists SOC 2 Type II, ISO 27001:2022 and HIPAA for AI Agent Security.
Lasso Security
AI Agent SecurityEnterprises deploying agents across platforms such as Bedrock, Vertex AI, Microsoft Copilot and Salesforce Agentforce that want one gateway-level policy and detection layer.
Lasso Security is an AI security platform for organisations that build or deploy AI agents and LLM applications. Its modules cover discovery and an AI bill of materials, AI security posture management, automated AI red teaming with a library of more than 3,000 attacks, runtime enforcement and AI detection and response, and its agent policies define what tools agents can use and which resources they are permitted to access. It deploys via gateway, API or SDK, with a browser extension for employee AI usage, and the company publishes an open-source MCP Gateway under the MIT licence. The company was founded in 2023, is headquartered in Tel Aviv with an office in New York, and announced a $30 million round led by ClearSky in September 2026, taking total funding past $37 million. It is SOC 2 Type II certified, and its AWS Marketplace SaaS listing for the Secured Gateway for LLMs shows $50,000 for a 12-month contract.
Noma Security
AI Agent SecurityEnterprises that want one independent platform spanning agent posture, MCP and tool permissions, runtime detection and red teaming across SaaS, homegrown and endpoint agents.
Noma Security is an AI agent security platform made up of four modules: AI-SPM, which discovers agents, MCP servers, skills and models across endpoint, SaaS and homegrown agents and maps each agent's permissions and data access; Agent Access Control, which enforces policies on which MCP servers, skills and tools agents can use, linked to identity provider groups; AI-DR, which detects prompt injection, data exfiltration, scope violations and rogue agents at runtime and can alert, block, mask data or escalate to a human; and AI Red Teaming, which runs multi-turn campaigns whose findings feed AI-DR policies. It covers endpoint agents such as Claude Code and Cursor, homegrown systems on Bedrock, Azure AI Foundry, LangChain and CrewAI, and SaaS platforms including Copilot Studio, Agentforce and ServiceNow, and is available as a runtime guardrail plugin for Kong AI Gateway and LiteLLM through api.noma.security. The company was founded in 2023 by Niv Braun and Alon Tron, states that its headquarters is New York City with product, R&D and research teams in Tel Aviv, and has raised a USD 32 million Series A (announced October 2024) and a USD 100 million Series B led by Evolution Equity Partners (July 2025). It remains independent. Pricing is not published; the trust centre lists SOC 2 Type II, ISO 27001, ISO/IEC 42001 and HIPAA.
Pillar Security
AI Agent SecuritySecurity teams that want one inventory and policy layer across agents, MCP servers and skills, with the option to run it inside their own cloud account.
Pillar Security is a platform to discover, test, secure and govern AI agents across an organisation. Its four modules are AI Discovery and Posture (cataloguing agents, models, prompts, frameworks, tools, MCP servers and skills), Agentic Red Teaming (multi-turn adversarial attacks against complete AI systems), Runtime Guardrails (malicious intent detection, agent behaviour analysis and masking of PII, PHI and credentials) and Governance and Compliance. It integrates with code and CI/CD, AI gateways and orchestration, MCP servers and skills marketplaces, and models and AI platforms, and can be deployed on the customer's own VPC with their own data and models. The company was founded in late 2023 by Dor Sarig (CEO) and Ziv Karliner (CTO), is based in Tel Aviv and Miami, and announced a $9 million seed round led by Shield Capital in April 2025; Refresh Miami reported around 20 employees in January 2026. The site states a SOC 2 Type II audit, and no pricing is published.
Prompt Security
AI Agent SecurityOrganisations already on or considering SentinelOne that want employee AI usage controls together with agent and MCP governance in one console.
Prompt Security is an AI security platform now owned by SentinelOne and sold within its Singularity Platform. SentinelOne's product page says it discovers shadow AI use across 15,000+ AI tools and services, redacts sensitive data in real time, blocks adversarial prompts with a real-time AI firewall, tests homegrown applications for prompt injection, jailbreaks and data poisoning before deployment, and maps agents and MCP servers so they operate only within a defined scope; it also covers code assistants such as GitHub Copilot, Cursor and Claude Code. The prompt.security site now routes platform and demo links to sentinelone.com and hosts three tools: Prompt Fuzzer (open source, MIT), ClawSec (open source, AGPL-3.0-or-later) and OneClaw. Prompt Security was founded in 2023 by Itamar Golan and Lior Drihem and is based in Tel Aviv; SentinelOne announced the acquisition on 5 August 2025 and a later SentinelOne release reported it completed on 5 September 2025 for approximately USD 180 million in cash and stock. Pricing is not published.
ranwhat
AI Agent SecurityDevelopers and teams using Claude Code, Codex or similar agents who want a record of what the agent ran and which secrets it exposed
ranwhat is an open-source command-line tool that reviews what AI coding agents have already done on a developer's machine. It reads the history that Claude Code, Codex, Gemini CLI, GitHub Copilot CLI and eight other agents write to disk, and picks out the irreversible actions worth knowing about, such as reading private keys, recursive deletions and publishing packages. A clean command finds credentials left in plaintext in agent transcripts, says which to rotate and masks them on request, and a scan command scores the authority an agent's credentials carry, including permissions that were granted but never used. It works after the fact rather than blocking actions as the agent runs, and the site points to the agents' own permission rules, hooks and sandboxes for that. The tool is written in Python, MIT-licensed and published on PyPI, and the site states that it sends no telemetry and needs no account. A paid Plus plan adds a capability catalogue feed now, with shared reporting, retention and alerts listed as still being built. It was first released in September 2026 by Matija Mikulinec.
Straiker
AI Agent SecurityEnterprises running a mix of coding, productivity and custom agents that want discovery, testing and runtime blocking from one vendor.
Straiker describes itself as The Agentic AI Security Company and sells three products: Discover AI, which inventories agents, tools, MCP servers and Claude Skills and monitors their security posture; Ascend AI, which continuously red teams agents for prompt injection, MCP tool misuse and data exfiltration; and Defend AI, runtime guardrails that block prompt injection, data leakage and tool manipulation. Coverage spans coding agents (Cursor, GitHub Copilot, Claude Code), productivity agents (Microsoft Copilot, ChatGPT Enterprise, Salesforce Agentforce) and custom agents on AWS Bedrock, Azure AI Foundry, LangChain and MCP, with Discover AI also covering Microsoft Copilot Studio. Defend AI installs via API, SDK, webhook or an AI sensor, and Help Net Security reported an optional inline gateway mode for blocking. The company is headquartered in Mountain View, California, with an office in Bengaluru, was co-founded by Ankur Shah (CEO, formerly of Palo Alto Networks Prisma Cloud) and Sreenath Kurupati (CTO, formerly of Akamai), launched from stealth in March 2025 with $21 million and raised a $64 million Series A in June 2026 for $85 million in total. It holds SOC 2 Type II and ISO/IEC 27001 certifications, and its AWS Marketplace SaaS listing shows $100,000 for a 12-month platform contract.
Zenity
AI Agent SecurityEnterprises governing agents built on Microsoft Copilot Studio, Salesforce Agentforce, ChatGPT Enterprise or Amazon Bedrock, alongside coding agents on developer machines.
Zenity is an AI agent security and governance platform organised into three layers: Surface, which builds a live inventory of agents across SaaS, custom and endpoint deployments and validates exploitable attack paths; Enforce, which evaluates and blocks unsafe agent actions before they execute; and Protect, which detects runtime threats and correlates them against OWASP and MITRE ATLAS. Its documentation lists integrations for Microsoft Copilot Studio, Power Platform, Azure AI Foundry, ChatGPT Enterprise, Salesforce Agentforce, ServiceNow, Amazon Bedrock, Google Vertex AI and Gemini Enterprise, Anthropic, LiteLLM, GitHub Copilot and Cursor, and the company describes native hooks and a Zenity MCP gateway for coding agents such as Claude Code, Codex, GitHub Copilot and Cursor. The platform is SaaS; on AWS Marketplace it is priced per resource and per million tokens with a 30-day free trial, and it is also listed on the Microsoft Azure Marketplace. Zenity was founded in 2021 by Ben Kliger and Michael Bargury, runs R&D from Tel Aviv and go-to-market from New York, and announced a USD 125 million Series C led by Norwest on 3 August 2026, bringing total funding to about USD 185 million according to Calcalist. It remains independent. The trust centre lists SOC 2 Type II, ISO 27001 and ISO 27701.
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About this listing
AI Agent Security tools, compared on public information. The comparison table is ordered by reader upvotes, then A to Z, with paid Featured listings shown first and labelled; the full entries run A to Z. How we work →