Enkrypt AI claims recurring Model Context Protocol (MCP) scanning to identify drift and shadow Model Context Protocol (MCP) infrastructure.
Continuously to catch drift and shadow MCP
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
Showing 1–19 of 19 evidence records
Clear all filtersEnkrypt AI materials reviewed did not provide a public claim for tenant-level discovery of embedded AI features across enterprise software as a service (SaaS) applications.
No quoted source text is recorded for this claim.
Enkrypt AI claims an inventory of Model Context Protocol (MCP) servers, tools, capabilities, environments, and owners.
Servers, tools, capabilities, environments, owners
Enkrypt AI materials reviewed did not provide a public claim for workforce allow, coach, restrict, or block policy over unapproved AI application use.
No quoted source text is recorded for this claim.
Enkrypt AI claims runtime controls against sensitive-data exfiltration through tools, retrieval, and model outputs.
Sensitive data exfiltration via tools, retrieval, or outputs
Enkrypt AI materials reviewed did not provide a public claim for browser session controls over upload, download, copy, paste, sharing, or form submission.
No quoted source text is recorded for this claim.
Enkrypt AI claims a runtime layer that approves, modifies, or blocks risky behavior across agents, tools, retrieval-augmented generation (RAG), and Model Context Protocol (MCP).
approves, modifies, or blocks risky behavior across agents, tools, RAG, and MCP
Enkrypt AI claims policy-to-control mapping with owners, scope, approvals, version history, exceptions, and audit exports.
Approvals, change diffs, rollback, exceptions/waivers
Enkrypt AI claims continuous multimodal red teaming across agents, tools, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) with reproducible findings and CI regression suites.
finds real failure modes across text, audio, and vision—including agents, tools, RAG, and MCP
Enkrypt AI claims Model Context Protocol (MCP) scanner coverage for untrusted servers, tools, and poisoned tool catalogs as agentic supply-chain risk.
untrusted MCP servers/tools and poisoned tool catalogs are treated as supply-chain risk
Enkrypt AI claims an inline Model Context Protocol (MCP) gateway that can approve, modify, require approval for, or block tool calls and record policy decisions.
sits inline between agents and MCP servers to approve, modify, or block tool calls
Enkrypt AI claims action traces containing tool, server, actor, environment, timestamps, and outcomes.
Tool/server, actor, environment, time-stamps, outcomes
Enkrypt AI claims red-team coverage for insecure inter-agent communication and runtime controls across chained retrieval-augmented generation (RAG), tool, and action paths.
Insecure inter-agent communication
Enkrypt AI materials reviewed did not provide a public claim for generic workload identities, service accounts, application programming interface (API)-key discovery, secret rotation, or machine-credential lifecycle management.
No quoted source text is recorded for this claim.
Enkrypt AI claims role- and tenant-aware rules using SSO, identity and access management (IAM), and identity claims to constrain tools, data sources, and actions.
Role/tenant-based rules
Enkrypt AI documents installing its Model Context Protocol (MCP) gateway for Cursor so connected tool actions can pass through policy enforcement.
secure-mcp-gateway install --client cursor
Enkrypt AI 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.
Enkrypt AI publishes credit-based monthly plans, a free evaluation tier, and custom enterprise pricing.
$149/month
Related framework references (2)
Enkrypt AI claims application programming interface (API)-first integration with agent orchestrators, identity and access management (IAM), SIEM, ticketing, CI/CD, and multiple deployment models.
SIEM, ticketing & identity integrations