Security operations run at machine speed. Attackers hand off from initial access to a second threat actor in seconds. The systems acting at that speed need more than a score: they need evidence they can check. SarraS turns threat intelligence into scored, signed evidence that autonomous systems can verify before they act.
Threat intelligence platforms were built to serve analysts, and they serve them well. The new consumer is a machine, and it needs evidence in a different shape.
Threat intelligence platforms are built around the analyst: collect, enrich, correlate, and give a person the context to decide. That model remains essential. What has changed is who else is asking.
The security stack has become autonomous. SOAR playbooks fire in seconds. AI agents triage, enrich, and route alerts without analyst review. Those systems need evidence they can check on their own, in the time it takes to make a call, with no human in between.
Confidence scores were designed to help analysts prioritize. An autonomous system needs more: separate dimensions it can branch on, scores that move when new evidence arrives, and a signature it can verify.
"Attackers now hand off from initial access to a second threat actor in seconds. A timeline no human-in-the-loop workflow can match."
SarraS internal analysis, 2026SarraS sits below the analyst workbench, below the SIEM, below the SOAR. The normalization, scoring, and delivery layer purpose-built for machine consumers.
We don't replace the analyst workbench. We make what flows through it machine-ready. Every SIEM, SOAR, XDR, EDR, vulnerability management platform, MDR/MSSP SOC, threat hunting tool, patch orchestration system, and AI security platform in your stack gets clean, scored, machine-ready intelligence from a single API.
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 is the infrastructure layer between raw feeds and the systems that act on them: normalized, evidence-scored, signed, and delivered through an API designed for autonomous consumption.
A confidence score is more useful with a receipt behind it. SarraS ties every attributed indicator to a specific, named threat actor or campaign from the live MITRE ATT&CK relationship graph, then scores that link as Verified Attribution Confidence (VAC) and signs the individual claim with post-quantum cryptography, separately from the response envelope signature covered above. The result is a claim your systems can verify on their own: which actor, how strong the link, and proof it has not been altered since it was computed.
A signature scheme chosen today stays in production for years. SarraS signs the responses and attribution claims it delivers with ML-DSA-65, the NIST-standardized (FIPS 204) post-quantum digital signature algorithm, adopted at build time rather than retrofitted later, so the intelligence you act on stays verifiable and tamper-evident as the industry migrates away from classical schemes such as RSA and ECDSA.
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 to serve the agentic era.
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, onboarding MDR providers, AI security startups, and SIEM/SOAR platform teams. Accounts, API keys, and the full technical documentation live on the partner portal.
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