Agentic AI discovery
Automatically find and catalog MCPs, AI agents, tools, and related resources across infrastructure, cloud, and employee laptops so teams can see what is running before they secure it.
Akto is an AI security platform for LLMs, AI agents, MCPs, and GenAI apps. Discover AI usage, test abuse, and enforce guardrails across employee and app environments.
Akto is an AI security platform focused on LLMs, AI agents, MCPs, and GenAI applications. The site positions it for modern security teams that need to discover AI usage, test for abuse, manage posture, and enforce guardrails across production and employee environments.
The product family includes Akto Atlas for employee AI usage visibility and guardrails, Akto Argus for homegrown apps, and MCP-oriented security content. Across the site, Akto emphasizes discovery, continuous testing, auditability, and policy enforcement rather than a single-point scanner.
Automatically find and catalog MCPs, AI agents, tools, and related resources across infrastructure, cloud, and employee laptops so teams can see what is running before they secure it.
Run automated red teaming and AI security testing, including thousands of probes for injection, escalation, data leakage, and tool misuse, to validate agent behavior and integrations.
Track AI posture and governance across agents, tools, and user activity, with audit trails for prompts, responses, violations, and skill calls.
Apply real-time guardrails at the endpoint or during AI usage to block, redact, or warn on risky behavior such as secrets or PII exposure.
Cover MCP-specific threat patterns such as tool poisoning, tool shadowing, line jumping, broken authorization, and prompt injection via tool output with the attack matrix.
Identify AI agents, MCP servers, tools, and shadow usage across cloud, endpoints, and employee laptops before those systems become hard to govern.
Run automated probes and red teaming checks in CI/CD or security validation workflows to look for injection, escalation, data leakage, and tool misuse.
Apply controls that block, redact, or warn when prompts or tool interactions expose secrets, PII, or other sensitive data.
Track prompts, responses, violations, and skill calls for auditability and governance, especially where teams need records mapped to compliance frameworks mentioned in the source.
Analyze MCP workflows against documented threat patterns such as tool poisoning, tool shadowing, broken authorization, and prompt injection via tool output.
Akto is positioned as an AI security platform for LLMs, agents, MCPs, and GenAI applications. The site shows use cases around discovery, testing, monitoring, posture management, and guardrails rather than a single narrow feature set.
The site says Akto can discover AI agents, run AI security testing and red teaming, monitor AI behavior, and apply guardrails or runtime protection. It also includes MCP-specific security coverage through its attack matrix and MCP security messaging.
The pricing page presents usage-based enterprise pricing with cloud and self-hosted plans, and several product areas marked "Contact Sales." The source does not publish specific prices on the page text provided.
The source text mentions enterprise-style deployment and references endpoint, cloud, and self-hosted offerings, but it does not provide a full implementation guide or list of supported environments. Specific onboarding steps and integrations are not fully detailed in the provided pages.
The product copy points to security teams, appsec teams, and modern AI security teams as primary users. It also includes a separate endpoint-oriented offering for employee AI usage and another path for homegrown apps.