Docker AI Governance: secure AI agents at runtime.

{
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  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-05-21T12:13:18+00:00",
  "company": {
    "name": "Docker",
    "domain": "docker.com"
  },
  "data": {
    "url": "https://byteiota.com/docker-ai-governance-secure-ai-agents-at-runtime",
    "title": "Docker AI Governance: secure AI agents at runtime.",
    "excerpt": "Docker AI Governance: secure AI agents at runtime.\n\n2 hours ago 0\n\nMost teams running AI agents in production aren't running them securely. According to Gravitee's 2026 AI Agent Security report, 80.9% of technical teams have pushed agents into testing or production - but only 14.4% did so with full security and IT approval. The gap closes fast when a breach happens. On May 12, Docker introduced Docker AI Governance: centralized control over what AI agents can access on the network, which files they can touch, which credentials they handle, and which MCP tools they can call. The enforcement isn't advisory. It runs at the runtime layer.\n\nWhy this is a problem right now.\n\nAI agents running on developer machines operate with developer-level credentials and zero enterprise access controls. They can reach production APIs, private repositories, and customer data - with no audit trail and no policy enforcement. That sounds theoretical until you look at the numbers: 61% of AI-agent-driven security incidents in 2026 involved data exposure, and 18.1 million API keys and tokens were found exposed in criminal underground sources this year.\n\nThe problem compounds with MCP. Every MCP server an agent can reach is another attack surface. ByteIota covered the 1,800 unauthenticated MCP servers already running in production. Docker AI Governance is the enterprise answer to exactly that...",
    "product": "Docker AI Governance",
    "summary": "Docker, Inc. launched Docker AI Governance on May 12th '26.",
    "planning": false,
    "image_url": "https://byteiota.com/wp-content/uploads/2026/05/featured-image-378.jpg",
    "confidence": 0.1735,
    "product_data": {
      "full_text": "Docker AI Governance",
      "fuzzy_match": true
    },
    "product_tags": [
      "future_tech"
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    "published_at": "2026-05-21T12:13:18Z",
    "effective_date": "2026-05-12",
    "article_sentence": "On May 12, Docker introduced Docker AI Governance: centralized control over what AI agents can access on the network, which files they can touch, which credentials they handle, and which MCP tools they can call."
  }
}

curl https://signals.autobound.ai/v1/signals/acee014e-70bb-405b-be1b-256ba115751f \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"docker.com","limit":20}'