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 500+ threat intelligence alerts daily from multiple feeds (commercial, open source, ISACs), but 85% are duplicates, false positives, or low-relevance noise. Analysts spend 2-3 hours each shift manually triaging indicators, missing critical threats buried in the volume.
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 AI clustering to automatically group related indicators across feeds, reducing 500+ alerts to 20-30 meaningful clusters. Provenance graphs show which IOCs are related (same C2 infrastructure, shared TTPs) and which sources originally published them, helping analysts focus on unique, high-value intelligence.
Expected Outcome
Analysts triage clusters of related threats instead of individual IOCs. Noise reduced by 80-90%, freeing time for investigation and response instead of manual correlation.
The Problem
SOC shift handovers consume 30-45 minutes as analysts verbally summarize overnight activity, ongoing investigations, and new threats. Critical context is lost in verbal handoffs, and new shift analysts waste time catching up on 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 automatically generates AI summaries of overnight threat intelligence activity—new high-priority clusters, investigation updates, environmental changes. Provenance graphs visualize critical findings. Analysts get a 5-minute briefing instead of 45-minute meeting.
Expected Outcome
Zero intelligence lost during shift transitions. New shifts up to speed in minutes. Audit trail of all briefings for compliance and incident reconstruction.
The Problem
Managed security providers manage threat intelligence for 10-20+ 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 force multiplier across client base. Early warning for clients not yet targeted. Proactive defense instead of reactive incident response.
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 AI-powered triage capabilities as commercial environments. Faster, more accurate threat intelligence processing without compromising operational security or classification levels.
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 don't automatically score source reliability or help analysts identify their most valuable feeds for their threat landscape.
How We Address This
Automated source reputation tracking learns which feeds consistently provide high-fidelity, actionable intelligence for your environment. AI prioritization combines source reputation, indicator freshness, environmental relevance, and threat actor attribution to surface only the most credible threats.
Expected Outcome
High-confidence threats from trusted sources automatically prioritized. Low-quality feeds identified and tuned out. Analysts focus on actionable intelligence instead of chasing false positives.
Built by SOC Analysts, For SOC Analysts
These scenarios come from our experience working in SOCs, drowning in threat intelligence noise, and watching brilliant analysts waste time on 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.
Request Beta Access