Built by analysts, for the analysts still in the queue.

The alert backlog is a math problem. We built the math solution.

Mira Halevi spent years in enterprise security operations — first as a threat analyst, then as a detection engineering lead at organizations ranging from financial services firms to federal contractors in the DC corridor.

The pattern was consistent: every organization had invested heavily in SIEM technology and had built strong detection engineering practices. But the throughput gap between incoming alerts and analyst capacity kept widening. Not because analysts weren't skilled — because the volume was structurally unsolvable with human labor alone.

Sockindle was founded in October 2024 to build the AI tier-1 layer that makes the math work — running autonomous hunt loops at machine speed so analysts can focus on the investigations that actually require human judgment.

Built for the enterprise security buyer.

Reston, Virginia is the center of the federal contracting ecosystem. Our proximity to the DC corridor means we understand the compliance requirements, procurement processes, and institutional trust expectations of government contractors, defense firms, and the intelligence community supply chain.

That institutional context shapes everything about Sockindle — from the language we use to describe detection posture, to the data residency options we offer, to the way our coverage reports are formatted for board and contracting office review.