AI Security for LLMs, Agents, MCPs, and GenAI Applications

Akto’s agentic AI security platform one security layer across both the AI you build and the AI your employees use.

The platform treats AI security as a continuous loop: discover what is running, test it, enforce policy at runtime, understand what happened, and feed that context back into governance, across AI applications, agents, MCP servers, LLMs, skills, and plugins.

Akto delivers this through two products.

Akto Atlas secures employee AI usage, discovering and governing AI apps, agents, MCP servers, skills, and plugins across the workforce and applying runtime controls through browser extensions, IDE hooks, desktop agents, and integrations with existing SASE and EDR solutions.

Akto Argus secures homegrown AI, providing security testing, runtime guardrails, MCP traffic controls, and execution visibility for the applications and agents organizations build on platforms such as AWS Bedrock, Microsoft Copilot, and Google Vertex AI.

Akto brings seven capabilities into one platform.

• Shadow AI discovery finds AI usage across the web, endpoints, IDEs, and CLIs. AI observability captures full execution traces across prompts, model responses, MCP calls, and tool calls
• Runtime protection enforces guardrails against prompt injection, data leakage, malicious URLs, permission violations, and tool misuse
• AI red teaming continuously tests applications, agents, and MCP infrastructure with more than 4,000 security probes covering tool abuse, excessive agency, authorization failures, and memory risks
• Posture management surfaces risky configurations, exposed assets, and excessive permissions
• Agent identity shows which agents are operating and what identities, tools, models, and permissions they use

Governance applies role based and contextual access policies across agents, models, MCP servers, and actions.

Designed for enterprise security teams, Akto offers more than 50 connectors across cloud and AI platforms and secures production AI environments at Fortune 1000 companies.

In September 2026, Gartner named Akto a Pioneer in its inaugural Emerging Market Quadrant for AI Application Security called Startup Vendors which Gartner describes as vendors taking “an advanced architectural approach to securing the full lifecycle of agentic AI applications.”

Akto was also named a Sample Vendor for AI Security Testing and AI Runtime Defense in three 2026 Gartner Hype Cycles, and a Representative Vendor in Gartner's 2025 guidance on securing AI agents.

Akto was founded in 2022 by Ankita Gupta and Ankush Jain and is headquartered in San Francisco.

The company raised a $4.5 million seed round led by Accel, with angel participation from Renaud Deraison (co-founder, Tenable), Akshay Kothari (co-founder, Notion), and Milin Desai (CEO, Sentry).