SOC Problems We're Solving
S6 Trace addresses real challenges we've seen SOC teams face—alert fatigue, handover failures, and lack of threat context. These are the problems driving our threat intelligence triage innovation.
The Problem
SOC analysts receive threat intelligence from multiple feeds (commercial, open source, ISACs), but much of it is duplicate, stale, or low relevance. Manual triage can bury the handful of indicators that actually matter to the environment.
Why This Happens
Threat intelligence platforms aggregate feeds but don't reduce noise. Each feed publishes similar IOCs independently, creating massive duplication. Analysts must manually correlate, deduplicate, and prioritize—a task that doesn't scale with modern threat volumes.
How We Address This
S6 Trace uses clustering to group related indicators across feeds. Provenance graphs show which IOCs share infrastructure or TTPs and which sources originally published them, helping analysts focus on unique, evidence-backed intelligence.
Expected Outcome
Analysts triage clusters of related threats instead of individual IOCs, reducing manual correlation work and freeing time for investigation and response.
The Problem
SOC shift handovers can lose context as analysts verbally summarize overnight activity, ongoing investigations, and new threats. New shift analysts waste time reconstructing what happened while they were off shift.
Why This Happens
No automated system tracks and summarizes threat intelligence activity over time. Analysts manually write handover notes or rely on memory, creating inconsistency. New shifts start cold, rereading overnight alerts to understand context.
How We Address This
Morning Brief summarizes overnight threat-intelligence activity: new high-priority clusters, investigation updates, and environmental changes. Provenance graphs show the evidence behind critical findings.
Expected Outcome
Less intelligence is lost during shift transitions. New shifts start with a written handover, and briefings create an audit trail for compliance and incident reconstruction.
The Problem
Managed security providers manage threat intelligence for many clients simultaneously. Indicators from one client's environment often apply to others, but manually cross-checking IOCs across client feeds is impractical. Critical intelligence doesn't propagate where it could prevent breaches.
Why This Happens
TI platforms are typically client-siloed—each deployment is independent. Analysts see IOCs in client A but don't systematically check if they're relevant to clients B-Z. Manual cross-referencing doesn't scale beyond a few clients.
How We Address This
Multi-tenant clustering allows MSSPs to identify threat patterns across client environments while maintaining data segregation. When APT infrastructure targeting financial services appears in one client, relevant indicators can be flagged for review across other financial services clients.
Expected Outcome
Threat intelligence becomes reusable across the client base while preserving segregation. Relevant indicators can be surfaced earlier for clients that share sector, geography, or technology exposure.
The Problem
Analysts see IOC reports from threat feeds but lack context about attribution, campaign relationships, or attack infrastructure. Is this C2 server part of a larger botnet? Which threat actor? Which campaign? Without context, analysts can't prioritize correctly or understand attack scope.
Why This Happens
Traditional TI feeds provide flat indicator lists (IPs, domains, hashes) without relationship mapping. Analysts must manually research each IOC in external databases (VirusTotal, threat actor reports) to understand context—time-consuming and incomplete.
How We Address This
Provenance graphs automatically visualize relationships between IOCs, threat actors, campaigns, and infrastructure. If three campaigns reuse the same C2 server, the graph connects them. Analysts immediately see attack scope and infrastructure relationships without manual research.
Expected Outcome
Contextual understanding replaces blind IOC blocking. Analysts identify coordinated campaigns, infrastructure reuse, and threat actor patterns that would be invisible reviewing indicators in isolation.
The Problem
Classified and air-gapped SOCs require threat intelligence triage but can't use cloud-based TI platforms. Manually importing and correlating threat feeds via approved transfer mechanisms is slow, labor-intensive, and error-prone.
Why This Happens
Most modern TI platforms assume cloud connectivity for updates, enrichment APIs, and collaborative features. Classified networks prohibit this, forcing analysts to process threat intelligence manually or use outdated standalone tools.
How We Address This
S6 Trace supports fully air-gapped deployment with local processing and no external dependencies. Threat feeds import via approved transfer mechanisms. All clustering, provenance graphs, and Morning Brief generation happen locally within the classified environment.
Expected Outcome
High-side SOCs get the same triage workflow as commercial environments: local processing, source scoring, clustering, and handover summaries without moving data outside approved boundaries.
The Problem
SOC teams subscribe to 8-12 threat intelligence feeds but can't determine which sources are most reliable for their specific threats. Low-quality feeds create alert fatigue, while high-quality feeds get lost in the noise. Analysts waste time investigating junk intelligence.
Why This Happens
Feed quality varies dramatically—commercial feeds curate carefully, while some open source feeds aggregate indiscriminately. TI platforms do not always score source reliability or show which feeds produce useful matches for your environment.
How We Address This
Source reputation tracking shows which feeds consistently produce high-fidelity matches for your environment. Prioritization combines source reputation, indicator freshness, environmental relevance, and threat actor attribution so analysts review the most credible items first.
Expected Outcome
High-confidence threats from reliable sources are prioritized. Low-quality feeds are identified and tuned down. Analysts focus on intelligence with enough evidence to investigate.
Built by SOC Analysts, For SOC Analysts
These scenarios come from real SOC patterns: noisy feeds, duplicated indicators, disconnected infrastructure, and skilled analysts losing time to manual correlation instead of hunting threats.
S6 Trace is our answer to problems we know intimately—currently in beta testing with select SOC teams who are helping us refine the solution.
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