10 Best AI Agent Security Platforms in 2026

AI agents are becoming part of enterprise workflows, from employee AI tools and coding assistants to custom agents connected to business applications, MCP servers and data. As adoption grows, security teams need visibility into which agents are running, what they can access, and what actions they can take.

AI agent security platforms help organizations discover, test and protect these agents. However, platforms differ in their coverage of endpoint security, red teaming, runtime guardrails, identity and governance. This guide compares leading AI agent security platforms by use case, evaluates seven key buying criteria, and explains where Akto fits in securing both employee AI and homegrown agents.

What is an AI agent security platform?

An AI agent security platform protects autonomous AI agents and the tools, MCP servers and data they reach. It discovers agents across the company, tests them for attacks such as prompt injection and tool misuse, and enforces policy on what agents are allowed to do at runtime. This differs from model security, which focuses on prompts and outputs. Agent security also governs the actions an agent takes.

Which AI agent security platforms fit which use case?

Platforms are listed alphabetically within each row, so the order isn’t a ranking. A platform can appear in more than one row.

What criteria should you compare AI agent security platforms on?

1. Discovery coverage: which AI agents, MCP servers and AI tools it finds, and where: employee devices, cloud, SaaS.

2. MCP and tool-call security: whether it inspects and controls the tools an agent calls, not only prompts.

3. Testing before release: red teaming of agents and MCP servers in CI/CD.

4. Runtime enforcement: whether it blocks an unsafe action before it executes, or only alerts afterwards.

5. Identity and access: per-agent identity and scoped permissions, built in or through integration.

6. Deployment: SaaS, self-hosted or hybrid, and where your data stays.

7. Ownership and roadmap: many vendors were acquired in 2025 and 2026, so confirm the roadmap for the exact product you buy.

Top AI Agent Security Platforms

Agent discovery, testing and runtime protection platforms

Akto

What it covers: Akto Atlas discovers and governs the AI agents, LLMs, MCP tools, plugins and agent skills employees use across browsers, IDEs, CLI AI agents and other applications on their devices. It provides Shadow AI discovery, AI governance and endpoint-level guardrails to prevent data leakage and block malicious agent skills.

Akto Argus secures the AI agents, GenAI applications, MCP servers and models companies build and deploy across cloud, on-premises and hybrid environments. It provides AI discovery, continuous red teaming with 4,000+ security probes, runtime guardrails and threat detection.

Akto is designed for organizations that want one AI security platform covering both employee AI usage and homegrown AI applications. Atlas protects AI usage across employee devices, while Argus protects the organization's own AI infrastructure. Red-teaming findings feed runtime guardrails, allowing security teams to enforce policies that block unsafe prompts, responses and tool calls in production.

Best for: one platform across employee AI and homegrown agents.

Ownership: independent.

HiddenLayer

What it covers: AI discovery, attack simulation, model scanning and runtime protection for models and agents.

Best for: teams that need model security alongside agent protection.

Ownership: independent.

Noma Security

What it covers: agent security and governance, with an AI-DR runtime product and an AI red teaming engine.

Best for: governance-led programs that also need runtime controls.

Ownership: independent.

Pillar Security

What it covers: discovers, tests, secures and governs AI agents, with cloud, self-hosted or hybrid deployment.

Best for: full agent lifecycle coverage.

Ownership: Vanta signed a definitive agreement to acquire Pillar on November 9, 2026.

Straiker

What it covers: three products for agent and MCP discovery, continuous red teaming and runtime guardrails.

Best for: red teaming and runtime defense for homegrown agents.

Ownership: independent.

Zenity

What it covers: real-time evaluation of AI agent actions, with posture management, MCP security, and AI detection and response.

Best for: agents in Microsoft and low-code environments.

Ownership: independent.

Endpoint AI and coding agent security

Akto Atlas also covers this use case. See Akto above.

CrowdStrike Falcon Guardian

What it covers: AI detection and response that finds shadow AI agents and enforces policy across endpoint, SaaS and cloud.

Best for: SOC teams already running CrowdStrike Falcon.

Ownership: CrowdStrike, which announced deals to acquire Dreadnode and Fiddler in November 2026.

Zscaler AI Endpoint Security

What it covers: inventories and monitors AI apps, agents, skills and MCP servers on managed devices.

Best for: Zscaler customers extending policy to AI on endpoints.

Ownership: Zscaler.

Prompt and response guardrails

Check Point AI Guardrails

What it covers: formerly Lakera Guard. It screens prompts, outputs and tool calls for prompt attacks and data leakage.

Best for: developer teams embedding guardrails in LLM apps.

Ownership: Check Point, which acquired Lakera in 2025.

Prompt Security

What it covers: employee AI use, AI code assistants, homegrown AI apps and agents.

Best for: interaction-layer protection, especially for SentinelOne customers.

Ownership: SentinelOne, which acquired it in 2025.

Agent identity and access

Aembit

What it covers: runtime identity and access for AI agents and workloads that keeps downstream credentials out of agents.

Best for: removing standing credentials from agents.

Ownership: independent.

Cyera Identity

What it covers: agentic access management for AI agents and non-human identities. Formerly Oasis Security.

Best for: regulated enterprises formalizing non-human identity programs.

Ownership: Cyera, which acquired Oasis in September 2026.

Microsoft (Entra Agent ID + Defender)

What it covers: agent registration and least-privilege roles in Entra, with detection through Defender and Sentinel.

Best for: Microsoft-centric organizations.

Ownership: Microsoft.

Security suites extending to AI agents

CrowdStrike and Microsoft also fit this use case. See their entries above.

Cisco AI Defense

What it covers: discovers AI assets, red teams models and enforces runtime guardrails from the network layer.

Best for: Cisco-standardized enterprises.

Ownership: Cisco, which also owns Astrix Security.

Palo Alto Networks Prisma AIRS

What it covers: discovers, assesses and protects AI apps, models and agents, including MCP traffic.

Best for: enterprises standardized on Palo Alto Networks.

Ownership: Palo Alto Networks. Prisma AIRS includes Protect AI, acquired in 2025.

How do you run an AI agent security proof of concept?

1. Use your own environment. Connect the platform to your own agents, MCP servers and employee devices, not a vendor demo setup.

2. Compare discovery. Check what it finds against the agents and MCP servers you already know about, and note anything you didn’t.

3. Trace one finding end to end. Take a single red-team finding through to an enforced runtime policy, and count the manual steps along the way.

4. Measure on real traffic. Record false positives and added latency over at least one week.

Frequently asked questions on AI Agent Security Platform

Which AI agent security platforms should be on our shortlist?

Pick by use case. For one platform across employee and homegrown AI, compare Akto, Pillar Security and Zenity. For prompt guardrails, compare Check Point AI Guardrails and Prompt Security. If you’re consolidating on an existing suite, start with your current vendor’s AI module.

How many platforms should be on an AI agent security shortlist?

Three to five: two or three specialists for the control layer you need first, your existing security suite’s AI module as a baseline, and an identity platform if per-agent access is a gap. For example, a team securing both employee AI and homegrown agents might compare Akto, Pillar Security and Zenity, then add Microsoft or Palo Alto Networks Prisma AIRS as its suite baseline and Aembit for agent identity. A team that mainly needs prompt guardrails might compare Check Point AI Guardrails and Prompt Security instead. Comparing more than five stretches the evaluation does not improve the decision.

Can one platform cover all AI agent security needs?

Rarely. Broad platforms such as Akto, Pillar Security and Zenity cover several layers, from agent discovery to runtime protection, but each is stronger in some areas than others. Most enterprises still add an identity platform such as Aembit or Cyera Identity for per-agent access, and keep the AI controls in the security suite they already run, such as Microsoft, CrowdStrike Falcon Guardian or Palo Alto Networks Prisma AIRS. The common result is one AI agent security platform, one identity layer and existing suite controls.