Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
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Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Akto claims discovery of web and local AI usage across workstations and endpoints, including agents, coding assistants, Model Context Protocol (MCP) servers, and skills.
Discover web & local AI usage - AI Agents, CLI based coding assistant, MCP servers, agent skills & more
Related framework references (5)
Akto materials reviewed did not provide a public claim for tenant-level inventory of embedded AI features across enterprise software as a service (SaaS) applications.
No quoted source text is recorded for this claim.
Related framework references (5)
Akto claims context maps that connect each agent to its Model Context Protocol (MCP) servers, tools, and databases.
Context-maps each agent to the MCP servers, tools and databases it connects to
Related framework references (5)
Akto claims user-, team-, and tool-level AI access governance with inline block, redact, or warn actions.
AI access governance by user, team and tool
Related framework references (5)
Akto claims controls that stop PII, secrets, and source code from leaking into AI prompts.
Stops PII, secrets and source code leaking into prompts sent to AI tools
Related framework references (5)
Akto claims endpoint coverage for ChatGPT and other web assistants with real-time block, redact, or warn enforcement.
Covers Claude (web, CLI, desktop, Cowork), ChatGPT and other major AI assistants
Related framework references (5)
Akto claims real-time AI guardrails across employee endpoints and agent-to-tool runtime paths.
Inline policy enforcement wherever AI is used - block, redact or warn in real time
Related framework references (5)
Akto claims forensic audit trails for AI prompts, responses, violations, and skill calls mapped to major AI frameworks.
Logs every prompt, response, violation and skill call as a forensic audit trail
Related framework references (5)
Akto claims continuous red teaming across AI agents and Model Context Protocol (MCP)-connected systems.
runs continuous red teaming
Related framework references (5)
Akto identifies model poisoning, Model Context Protocol (MCP) tool poisoning, tool shadowing, rug pulls, and agent skills within its security scope.
Model Poisoning
Related framework references (5)
Akto claims guardrails between agents and invoked tools that inspect Model Context Protocol (MCP) calls and enforce policy in real time.
sit between your agents and the tools they invoke, enforcing enterprise policies in real time
Related framework references (5)
Akto claims analysis of every Model Context Protocol (MCP) call, tool use, execution context, response structure, and parameter pattern.
analyzes every MCP call, tool usage, execution context, response structure, and parameter pattern
Related framework references (5)
Akto materials reviewed did not provide a public claim for authenticating, authorizing, or enforcing policy over direct agent-to-agent communication.
No quoted source text is recorded for this claim.
Related framework references (5)
Akto materials reviewed did not provide a public claim for generic service-account discovery, application programming interface (API)-key lifecycle, secret rotation, or machine-credential governance.
No quoted source text is recorded for this claim.
Related framework references (5)
Akto claims access governance by user, team, and tool plus actor-aware monitoring for agent and Model Context Protocol (MCP) actions.
AI access governance by user, team and tool
Related framework references (5)
Akto claims discovery and endpoint guardrails for CLI coding assistants, agent skills, source code, ChatGPT, Claude, and Codex use.
CLI based coding assistant, MCP servers, agent skills
Related framework references (5)
Akto materials reviewed did not provide a public claim for AI spend attribution, budgets, chargeback, rate limits, or token-cost anomaly detection.
No quoted source text is recorded for this claim.
Related framework references (5)
Akto states that its AI security pricing is usage based and enterprise oriented, with sales-assisted packaging.
usage based Enterprise-grade pricing
Related framework references (2)
Akto claims MDM deployment, enterprise AI compliance connectors, and SIEM feeds.
Deploy Akto Endpoint Shield via MDM tools such as Intune, NinjaOne, Automox and more
Related framework references (5)