Context graphs for your AI agents, MCPs, and LLMs.
As the adoption of agentic AI accelerates within organizations, security teams often lack visibility into data flows and the context of AI agents created or used. Akto fills this gap. The Agent Context Graph automatically discovers and maps your entire agentic system—agents, MCP servers, LLMs, databases, and external APIs—in a dynamic view to understand data flows and assess security impact at a glance. Gain a complete view of your AI agents' context with Akto!
For university students, the AI Agent Context Graph by Akto enables mapping complex AI research project dependencies. Example: A student building an AI agent for literature review can visualize how their agent connects to LLMs, databases, and citation management tools to understand data flow and potential integration issues.
For solopreneurs, the AI Agent Context Graph by Akto enables visualization of AI tool integrations for workflow automation. Example: A freelance consultant using multiple AI agents for client reporting can map connections between their CRM, LLM, and data analysis tools to ensure seamless data transfer and identify single points of failure.
For startup CTOs, the AI Agent Context Graph by Akto enables assessment of security risks in interconnected AI agents. Example: A CTO can use the graph to identify which AI agents access sensitive customer data and map their connections to external APIs or databases, highlighting potential attack vectors before deployment.
For enterprise security analysts, the AI Agent Context Graph by Akto enables tracking AI agent data flow for compliance. Example: An analyst can visualize how an internal AI agent interacts with company databases and third-party LLMs to ensure adherence to data privacy regulations and document data lineage.
For AI developers, the AI Agent Context Graph by Akto enables debugging complex agentic system interactions. Example: A developer can use the graph to pinpoint the exact connection or service causing an error when an AI agent fails to retrieve information from a connected MCP server or external API.
The AI Agent Context Graph by Akto is a tool that automatically discovers and maps the connections within your agentic AI systems. It visualizes how AI agents, MCP servers, LLMs, databases, and external APIs interact, providing a clear understanding of data flows and potential security impacts.
Akto offers usage-based enterprise-grade pricing. Specific pricing details are not publicly available and require contacting their sales team for a quote.
No, Akto is a paid enterprise-grade solution. There is no mention of a free tier or trial available on their website; pricing information is obtained by contacting their sales team.
Akto provides native connectors for over 20 agent builder platforms, including AWS Bedrock, Google Vertex, and Azure AI Foundry. It can ingest traffic data from these platforms to build the context graph.
Some alternatives to Akto's AI Agent Context Graph include Daylight Security, Matters.AI, and Cogent Security. The best alternative depends on specific organizational needs and existing infrastructure.
While Akto focuses on AI security and provides tools for risk assessment and threat detection, specific details regarding GDPR compliance are not readily available in the provided search results. Users should inquire directly with Akto for detailed compliance information.
To use the AI Agent Context Graph, you need to connect Akto to your agent builder platforms via their native connectors. Akto then automatically discovers agents and maps connections. Specific installation instructions would be provided by Akto.
We're still verifying the official pricing for AI Agent Context Graph by Akto. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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