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13 million tool calls: auditing every AI coding agent action with Elastic Agent

Elastic Security Labs shows how Cursor hooks plus Elastic Agent turn AI coding agent activity into 13 million huntable security events.

Elastic Security Labs demonstrates auditing AI coding agent behavior by pairing Cursor hooks with Elastic Agent, capturing every tool call, shell command, file read, and MCP request as structured events. The dataset of 13 million captured events can be hunted with ES|QL, giving defenders visibility into agent actions.

Elastic Security Labs · Aug 11, 2026AI safety & security1

Why 2026 is the Year to Upgrade to an Agentic AI SOC

Elastic Security Labs argues 2026 is the production inflection point for agentic AI in security operations centers.

Elastic Security Labs argues 2026 is the practical inflection point for agentic AI SOCs, noting nearly two-thirds of organizations are experimenting with AI agents while fewer than one in four have production deployments. The piece outlines operational challenges and recommendations: treat agents as non-human identities with least-privilege tool access, version-control system prompts as code, deploy unified agents with on-demand task packages, and enforce per-agent budgets and rate limits. It stresses explainability via RAG and transparent reasoning traces so analysts can verify and override autonomous decisions.

Elastic Security Labs · 7d agoIndustry

Inside Elastic's agentic SOC: How we took AI alert triage from 60% to 92% accuracy

Elastic's InfoSec team raised AI alert-triage accuracy from 60% to 92% using three self-correcting agents integrated into Slack triage.

Elastic's InfoSec team deployed three AI agents that read detection-rule investigation guides and closure reasons from 30 days of historical cases to triage alerts. The agentic pipeline lifted triage accuracy from 60% to 92%. Analysts now clear most alerts with a single click in Slack.

Elastic Security Labs · 22d agoTools

Data access: the hidden cost of security vendor lock-in

Elastic compares SIEM data egress cost, latency, and fidelity across CrowdStrike, Microsoft, Google, and Splunk, arguing vendors engineer lock-in.

Elastic Security Labs published an opinion piece comparing how major SIEM and security vendors handle data egress, based on each vendor's public documentation as of September 2026. It rates CrowdStrike Falcon Data Replicator and Palo Alto Networks XSIAM Event Forwarding as restricted (paid add-ons with batch delays), Microsoft as partially open, Splunk as open, and Elastic as open with no export license. The piece argues frictionless ingestion paired with licensed or delayed egress is an intentional lock-in business model, and cites CrowdStrike's 2026 Global Threat Report eCrime breakout time of 29 minutes to argue real-time telemetry access is now essential.

Elastic Security Labs · 12d agoIndustry