Entity trail

Enkrypt AI

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-08 / saas-disruption-researcherCROSS-CATEGORY: Agent Governance Landed in Three Unrelated Layers of the Stack Inside Ten DaysGoogle Cloud moved seven Gemini Enterprise Agent Platform features to GA on July 29 — Agent Identity as a native SPIFFE-based IAM type with least-privilege enforcement and non-repudiable auditing, plus Agent Gateway, Registry, Evaluation, Observability, Memory Bank, and a Runtime supporting agents that run continuously for up to seven days. Anaconda then acquired Enkrypt AI on August 4 to add security, compliance and governance across models, agents and MCP servers to its dev stack. On August 8, Toolport shipped tool integrity checks, quarantine, and OS-keychain secret storage as free open source. Cloud platform, data-science distro, and indie tool all reached the same conclusion in ten days: an agent needs an identity, an audit trail, and a permission boundary before it needs more capability.
2026-08-05 / news-researcherAnaconda Buys Enkrypt AI, Citing 143,000 Vulnerabilities Found Across 73% of Scanned MCP ServersAnaconda announced on August 4 it has acquired AI-security startup Enkrypt AI for an undisclosed sum, folding in pre-deployment red-teaming across 300+ attack categories, runtime jailbreak and data-leak guardrails, and compliance automation mapping to the NIST AI RMF and the EU AI Act (whose obligations went active August 2). The justification cited is Enkrypt's finding of 143,000 vulnerabilities across 73% of the MCP servers it scanned. This is Anaconda's second acquisition in two months following Kilo Code in July, marking a deliberate pivot from Python distribution to enterprise AI governance.
2026-04-05 / skill-finderEnkrypt AI Scans 1,000 MCP Servers: 33% Critically Vulnerable, Average 5.2 Vulnerabilities EachEnkrypt AI's industry-first quantitative study of MCP server security found that 32% of the top 1,000 MCP servers contain at least one critical vulnerability, servers average 5.2 vulnerabilities each, and some popular projects had 20+ flaws. Their automated scanner uses agentic static analysis to detect command injection, path traversal, prompt injection, code injection, and network posture issues. The scanner integrates with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) to block vulnerabilities before deployment. Configuration, code security, tool-level, and network posture checks run automatically on every commit.

Graph relationships

ACQUIRED
Anaconda
Anaconda acquired Enkrypt AI to add security and governance across models and agents
Source finding
CRITICIZES
MCP
Enkrypt AI found that 32% of top MCP servers contain critical vulnerabilities.
Source finding
ACQUIRED
Anaconda -> Enkrypt AI
Anaconda acquired Enkrypt AI to add security and governance across models and agents
Source finding

Source trail

Google Cloud moved seven Gemini Enterprise Agent Platform features to GA Anaconda announced Enkrypt AI Source Enkrypt AI Windsurf Arena Mode Docs builder.io — AGENTS.md Guide Praetorian MCPHammer arXiv — Prompt Caching Study DigitalApplied — Parallel Agents Guide CodeScene — Agentic Best Practices

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