Coralogix

Coralogix builds an AI-powered observability platform that treats logs, metrics, traces, and security events as one problem, not four. For security teams, that framing matters: detection and response timelines break down when telemetry is scattered across vendors and queried after the fact. Coralogix's answer is Streama, proprietary stream-processing that analyzes telemetry in-stream at ingest time, so patterns, anomalies, and event context get surfaced before data ever lands in cold storage. The platform processes over 3 million events per second across more than 500,000 applications, and serves 4,000+ customers in finance, healthcare, gaming, ecommerce, video streaming, and transportation.

The data architecture is the security argument. Coralogix lets teams store telemetry in their own cloud environments using open formats, without mandatory indexing and without vendor lock-in - which changes the retention math for security event analytics, where long retention windows are expensive and usually get cut first. Security event analytics, infrastructure monitoring, and user experience data sit in the same platform as application observability, so an incident investigation doesn't require stitching together three consoles. The company was founded in 2014, is headquartered in Boston, Massachusetts, and operates across four continents with globally distributed teams. It is privately held with a valuation above $1 billion.

On the tooling side, the company is leaning into agent-driven investigation: Olly, a conversational AI investigator, lets engineers and AI agents query telemetry directly, and Coralogix ships Model Context Protocol (MCP) and CLI integrations so external agents can work against its data. The stated focus is on enabling both human engineers and AI agents - a claim worth interrogating in interviews, but the underlying bet is concrete: if your telemetry pipeline is fast enough and open enough, security event analysis becomes a streaming problem rather than a forensic backlog.