Compare the Top AI Agent Security Platforms in the UK as of October 2026

What are AI Agent Security Platforms in the UK?

AI agent security platforms help organizations secure, monitor, govern, and control autonomous AI agents operating across enterprise systems, applications, and data environments. These platforms provide capabilities such as identity management, permission controls, policy enforcement, activity monitoring, threat detection, and audit logging to ensure AI agents act within approved boundaries. They help protect against risks such as unauthorized actions, prompt injection attacks, data leakage, tool misuse, and malicious agent behavior. Many AI agent security platforms integrate with AI orchestration frameworks, IAM systems, security operations tools, and compliance platforms to provide end-to-end governance and protection. By enabling secure deployment and oversight of AI agents, these platforms help organizations scale agentic AI adoption while maintaining security, compliance, and operational trust. Compare and read user reviews of the best AI Agent Security platforms in the UK currently available using the table below. This list is updated regularly.

  • 1
    Mindgard

    Mindgard

    Mindgard

    Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. Built for security and engineering teams accountable for AI in development and production, it continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validate whether guardrails and controls hold, and show teams how to close each gap. AI red teaming tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, and map findings to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Unlike traditional AppSec tools or manual penetration testing, Mindgard cuts AI risk assessment from weeks to hours, pinpoints and validates defensive gaps, and supports continuous policy compliance as AI systems change. Capabilities: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance. SOC 2 Type
    Starting Price: Free
  • 2
    Akto

    Akto

    Akto

    Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.
  • 3
    Flint AI

    Flint AI

    SandboxAQ

    Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.
    Starting Price: Free
  • 4
    Harden

    Harden

    Harden

    Harden AIF is an agent endpoint security platform for AI coding agents. It evaluates supported agent tool calls before execution using the developer’s intent, session context, organisational policy, and the effect of the proposed action. Harden helps protect against destructive commands, unauthorized access, unintended data transfers, secret exposure, privilege misuse, and other unsafe agent actions. Legitimate actions can proceed normally, sensitive data in supported flows can be safely redacted, and actions that fall outside the developer’s intent or authority are blocked before execution. Harden works across popular coding agents and agentic development tools including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, providing a consistent security layer across the agent ecosystem.
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