Top 10 AI Agent Security and Governance Platforms in 2026

AI agents now read email, update records, approve requests and call other tools. That makes them useful, and it makes them a security risk. A new category of software has emerged to answer three questions for every agent in an organisation: what exists, what is it allowed to do, and what is it actually doing?

Here are ten of the AI agent security and governance platforms most often shortlisted in 2026, with who each one suits best. Most are sold to enterprises with pricing on request, so we focus on coverage and fit rather than price.

What to look for

• Discovery: can it find agents built in different platforms, including ones employees build themselves?
• Identity and permissions: does each agent get an owner, an identity and least-privilege access?
• Runtime protection: can it detect and block risky behaviour, such as prompt injection or data leakage, as it happens?
• Audit: can you reconstruct what an agent did and why?
• Coverage: which AI platforms, clouds and tools does it support?

Quick comparison

Platform	Best for	Main control point
Zenity	Securing agents across their full lifecycle	Build time to runtime
Microsoft Agent 365	Microsoft-centric organisations	Microsoft control plane and identity
ServiceNow AI Control Tower	ServiceNow customers governing many vendors' agents	Agent credentials and policies
Palo Alto Networks Prisma AIRS	Security teams on Palo Alto	AI runtime security and gateway
Cisco AI Defense	Cisco-aligned enterprises	Network and model protection
Okta	Identity-first agent governance	Agent identity and access
Noma Security	AI supply chain and agent posture	Inventory and posture management
WitnessAI	Governing employee AI use	Employee-initiated AI activity
Pluto Security	Shadow AI built by employees	Endpoint
Opsin	Agents inside major AI suites	Platform APIs

1. Zenity

Best for: organisations that want one platform covering agents from build time to runtime.

Zenity is built specifically for securing and governing AI agents across low-code platforms, copilots and custom agents. It is one of the most frequently cited specialists in the category and recently raised a $125 million Series C led by Norwest.

2. Microsoft Agent 365

Best for: organisations standardised on Microsoft 365 and Azure.

Microsoft's first-party control plane for observing and governing agents, which reached general availability in 2026. Paired with Microsoft Entra's agent identity features, it treats agents as managed identities with policies, which suits teams already running security in the Microsoft stack.

3. ServiceNow AI Control Tower

Best for: ServiceNow customers that need to govern agents from many vendors.

ServiceNow's governance hub now issues AI Passports, signed credentials that define an agent's identity, permitted actions, accessible systems and accountable owner, checked as work runs. ServiceNow expects AI Passport and related capabilities in the fourth quarter of 2026.

4. Palo Alto Networks Prisma AIRS

Best for: security teams already using Palo Alto Networks.

Prisma AIRS is Palo Alto's AI security platform, strengthened by its earlier acquisition of Protect AI and the 2026 addition of the Portkey AI gateway as a central control plane for AI traffic.

5. Cisco AI Defense

Best for: enterprises aligned with Cisco's security and networking stack.

Cisco AI Defense focuses on protecting AI applications and models, including visibility into AI usage and protection against threats such as prompt injection, integrated with Cisco's wider security portfolio.

6. Okta

Best for: teams that want to govern agents through identity.

Okta extends identity and access management to AI agents, giving each agent an identity, scoped permissions and lifecycle management. Its own research found that only around a third of organisations apply the same security controls to AI agents as to people, which is the gap it targets.

7. Noma Security

Best for: mapping the AI supply chain and agent posture.

Noma focuses on discovering AI models, agents and data pipelines across an organisation and managing their security posture. It raised $100 million in 2025.

8. WitnessAI

Best for: governing how employees use AI tools.

WitnessAI focuses on employee-initiated AI activity: what staff send to AI tools, and enforcing policies on that usage. It is less focused on fully autonomous agents running in production infrastructure, so pair it accordingly.

9. Pluto Security

Best for: finding and controlling AI tools employees build themselves.

Pluto emerged from stealth in October 2026 with $42 million in funding. It works at the endpoint to discover and secure employee-built AI apps, automations and agents, including ones that never touch an official platform.

10. Opsin

Best for: governing agents inside Microsoft Copilot, ChatGPT Enterprise, Claude Enterprise and Gemini.

Opsin connects to major enterprise AI platforms through their APIs and maps each agent's purpose, identity, data access and behaviour, flagging when an agent drifts from what it should do. It reportedly raised $21 million in October 2026.

How to choose

1. Start with your stack. If you are deep in Microsoft, ServiceNow, Palo Alto or Cisco, evaluate their native governance first.
2. Map where agents live. Agents inside sanctioned platforms need different controls from tools employees build themselves.
3. Decide your control point. Identity, platform API, network or endpoint: most organisations end up combining two.
4. Test discovery first. Ask each vendor to show how many agents it finds in a pilot environment.

FAQ

What is AI agent governance?

The policies and tools that define which AI agents can exist in an organisation, who owns them, what they can access and do, and how their actions are monitored and audited.

Is AI agent security different from traditional application security?

Yes. Agents make decisions and take actions dynamically, can be manipulated through their inputs, and often act with a user's or system's permissions. That requires identity, runtime monitoring and audit designed for autonomous software.

How much do AI agent security platforms cost?

Most enterprise vendors price on request, usually based on the number of agents, users or platforms covered. Expect custom quotes.

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Vendor details were gathered from company announcements and public reviews at the time of writing. Capabilities change quickly; confirm with each vendor. Rapid North has no commercial relationship with the vendors listed.