Security operations run at machine speed. Attackers hand off from initial access to secondary threat actor in 22 seconds. Your intelligence layer needs to keep up. SarraS is the normalized, scored, and machine-ready data infrastructure that autonomous security systems actually require.
Consumed at machine speed by agents that need something it was never designed to give them.
Every major threat intelligence platform was designed around a single operational model: a human analyst opens a portal, reads enriched context, and decides what to do. The latency of that loop is measured in minutes to hours.
The security stack has become autonomous. SOAR playbooks fire in seconds. AI agents triage, enrich, and route alerts without analyst review. The intelligence infrastructure feeding them has not kept up.
Vendor confidence scores are static numbers designed for triage, not deterministic verdicts an agent can act on. They decay on timers, not on evidence. Single dimensions where autonomous systems need five.
"Attackers now hand off from initial access to secondary threat actor in 22 seconds. A timeline no human-in-the-loop workflow can match."
SarraS Threat Intelligence Infrastructure Brief, May 2026SarraS sits below the analyst workbench, below the SIEM, below the SOAR. The normalization, scoring, and delivery layer that none of the existing vendors have built because they were all selling to analysts, not to machines.
We don't compete with the analyst workbench. We are what feeds it. Every SIEM, SOAR, and AI security platform in your stack gets clean, scored, machine-ready intelligence from a single API with contractual SLAs.
Every indicator that enters SarraS passes through four sequential stages before it reaches your agent or platform. Nothing is served without being normalized, scored, and evidence-validated first.
The API surface is designed around one question: can an autonomous agent use this endpoint correctly without a human in the loop? Every response is typed, every field is explicit, every uncertainty is a number not a word.
SarraS occupies the gap none of them fill: the infrastructure layer between raw feeds and machine-ready intelligence. Normalized. Evidence-scored. Delivered via an API designed from day one for autonomous consumption.
Usage-based pricing designed for machine-scale query volumes. No per-seat model. No portal tax. Start on Developer, grow to Platform as your pipeline scales.
SarraS was founded by security industry veterans with direct experience building and selling threat intelligence products to enterprise security teams. The gap SarraS fills is not theoretical. It was observed firsthand across years of working with the platforms, the practitioners, and the pain points that define the current market.
The founding team brings deep expertise in threat intelligence architecture, enterprise security operations, and API-first infrastructure design. The product was designed from first principles for the agentic era, not adapted from an existing analyst-facing platform.
SarraS is currently in private beta, onboarding a select group of design partners from the MDR, AI security, and SIEM/SOAR communities. If you are building autonomous security tooling and need a data layer you can trust, we want to talk.
SarraS is in private beta. We're onboarding MDR providers, AI security startups, and SIEM/SOAR platform teams. Tell us who you are and we'll be in touch within 48 hours.
No spam. No sales calls until you ask. API keys issued on a rolling basis.