Introducing Akto Atlas: The AI Trust Layer for Autonomous Systems

Enterprise AI adoption has quietly crossed a tipping point. AI agents are being deployed faster than security teams can track. MCP servers are spun up ad hoc. GenAI tools are embedded inside developer workflows, browsers, and internal applications, often without any formal approval.

This growing layer of Shadow AI is now one of the biggest risks in enterprise AI adoption.

The reality is stark:

Only 21% of organizations have an accurate, up-to-date inventory of their AI agents, MCPs, and GenAI applications.

Without visibility, securing AI systems becomes guesswork. That’s why we built Akto Atlas.

The Problem: You Can’t Secure What You Can’t See

Traditional security tools were built for APIs, services, and infrastructure — not autonomous systems.

Agentic AI introduces new challenges:

• AI tools are adopted bottom-up, not centrally deployed

• MCP servers and agents span laptops, browsers, and cloud workloads

• AI interactions happen dynamically, outside static architectures

• Documentation and manual audits fall out of date instantly

As a result, most enterprises don’t actually know:

• Which AI agents are running

• Which MCP tools they’re connected to

• What data they access or expose

• Whether those components are approved, trusted, or compliant

This creates a massive blind spot and attackers love blind spots.

Introducing Akto Atlas

Akto Atlas is the AI Trust Layer for Autonomous Systems.

Atlas gives enterprises a real-time, always-accurate view of their entire agentic AI surface across endpoints, applications, MCPs, and integrations.

With Akto Atlas, teams can:

• Discover every AI agent, MCP server, and GenAI app in use

• Automatically map how they interact and exchange data

• Identify shadow AI and unapproved third-party tools

• Enforce AI governance decisions across the organization

All without relying on manual reporting or static inventories.

How Akto Atlas Works

1. Discovery Where AI Actually Lives

Akto Atlas connects to your environment and starts discovering AI usage where it actually exists. Using a combination of endpoint visibility and native connectors, Atlas captures AI agent, MCP, and API activity across your full stack — without manual effort.

Atlas ships with 50+ built-in connectors spanning the agentic AI ecosystem, including:

• Cloud & Infrastructure

  Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure

• API Gateways & Networking

  F5, Kong Inc.

• LLMs & AI Platforms

  OpenAI, Anthropic, and other model providers

• Agents, MCP tools & Developer environments

  IDE-based agents, MCP servers, browser-based GenAI tools, and internal AI workflows

• Enterprise & SaaS environments

  Applications and services where AI interactions often go undocumented

Instead of siloed views, Atlas unifies everything into a single source of truth — connecting what runs on endpoints with what executes in production.

The result: complete coverage without operational overhead.

2. Contextual Mapping of Agentic Workflows

Discovery alone isn’t enough. Understanding how everything connects is what enables trust.

For every discovered agent, MCP server, or GenAI application, Atlas captures:

• Interaction patterns

• Requests and responses

• Dependencies between components

• Data flows across agentic workflows

Security and platform teams can quickly understand:

• How agents interact with MCP tools

• What data is being accessed or generated

• Where sensitive information may be exposed

• Which components are critical vs experimental

This context is what turns raw inventory into actionable insight.

3. Enforceable AI Governance

With full visibility and context, Atlas enables teams to:

• Detect unapproved or shadow AI usage

• Approve, restrict, or block agents and MCPs

• Align AI usage with internal trust and compliance policies

Governance becomes continuous and enforceable, not a periodic review.

Eliminating Shadow AI by Design

Because Atlas operates continuously:

• New agents are discovered as soon as they appear

• Hidden MCP endpoints don’t stay hidden

• Inventory stays accurate as environments evolve

• Trust decisions remain enforceable at scale

No spreadsheets. No manual audits. No outdated diagrams. Just a real-time, authoritative view of your agentic AI landscape.

The Foundation for Agentic AI Security

Every advanced AI security control — guardrails, testing, runtime protection — depends on knowing what exists. Akto Atlas provides that foundation. By combining automatic discovery, deep inventory, connector-based coverage, and governance enforcement, Atlas enables enterprises to build and scale autonomous systems with confidence.

If you’re serious about securing agentic AI, visibility isn’t optional, it’s the starting point.

Discover what’s running in your environment. Build trust into your AI systems.

Ready to see Akto Atlas in action? Schedule a demo here