Intel-powered adversary mapping accelerates containment and high-confidence attribution
The signal-to-meeting workflow
Public incident disclosures and regulatory filings combined with proprietary signals: lookalike domain clusters targeting brands, passive DNS anomalies, and threat researcher feeds. Intel-native sources differentiate from generic news scraping.
Classify incident type (ransomware, phishing, third party, supply chain). Enrich with connected domains, IP reputation, WHOIS history, and related infrastructure from threat intel datasets. Map to company, industry, and existing security posture signals.
Primary: Breach reported within current week with materiality check. Secondary intel-native triggers: clusters of newly registered lookalike domains targeting brand, spikes in risky domain activity in passive DNS, or emergence of threat actor infrastructure patterns correlated with similar industry targets.
Identify probable attack vector, map connected domains and IPs, analyze adversary infrastructure patterns, estimate dwell time. Generate role-specific insights: CISO (business risk, board communication), SOC/IR (MTTD/MTTR impact, workflow integration), TI Lead (campaign clustering, attribution confidence).
Rule fit on industry, size, compliance exposure. Score model: impact severity 40%, platform fit 30%, urgency 30%. Check SIEM/SOAR/EDR stack compatibility for integration surface. Exclude accounts with blocking incumbent intel partnerships.
For listed entities and regulated industries: pre-approved outreach templates by region and regulation. Legal and PR sensitivity screening before contact. Guardrails prevent ambulance-chasing optics while maintaining speed.
Route to appropriate persona with tailored messaging. CISO: faster time to confident attribution and board-ready reporting. SOC Manager: concrete MTTD/MTTR reductions and investigation workflow acceleration. TI Lead: deeper visibility into adversary infrastructure and campaign clustering. All paths emphasize platform integration, not generic services.
Engaged: run threat intel integration workshop showing enrichment in their SIEM/SOAR stack, move to 14-day PoC with live IOC feeds. Not ready: send adversary infrastructure brief and domain risk checklist, follow up in 2 weeks. Post-engagement: transition to ongoing threat hunting and proactive monitoring program.
A threat intelligence and domain/DNS data platform serving SOC teams, threat hunters, and incident responders.
Core capabilities include mapping adversary infrastructure, enriching alerts with domain and IP context, accelerating investigations, and providing high-confidence attribution.
Unlike IR services shops, the value comes from data and platform capabilities that integrate into existing SIEM/SOAR/EDR stacks rather than hands-on remediation services.
Target motion is platform adoption into security workflows, not staff augmentation during crises.
Combines traditional incident disclosure monitoring (regulatory filings, SEC 8-K forms, HHS breach reports, security news) with intel-native signals unique to the platform.
Proprietary feeds include passive DNS anomaly detection, lookalike domain clustering for brand protection, newly registered domain risk scoring, and threat actor infrastructure correlation.
These intel-native signals surface risks before public disclosure and demonstrate platform-specific value that generic breach-chasing cannot replicate.
Pre-processing enriches each signal with connected domains, IP reputation, WHOIS historical data, and related infrastructure to provide immediate investigative value.
Primary trigger activates on breach disclosure within current week with materiality check for regulated data, downtime threshold, or compliance exposure.
Secondary intel-native triggers differentiate from commodity approaches: clusters of newly registered lookalike domains targeting the same brand (indicating active phishing campaign preparation), spikes in risky domain activity in passive DNS datasets associated with target company or sector, or emergence of threat actor infrastructure patterns correlated with similar industry targets.
Compound triggers escalate urgency when multiple signals converge.
AI agent maps adversary infrastructure patterns and generates role-specific intelligence briefs.
For CISO path: business risk quantification, board communication frameworks, faster time to confident attribution for stakeholder reporting.
For SOC/IR path: concrete MTTD and MTTR reduction estimates, investigation workflow integration points, alert enrichment capabilities.
For TI Lead path: campaign clustering analysis, adversary infrastructure evolution, attribution confidence levels.
Rules gate on industry fit, company size, and critically on SIEM/SOAR/EDR stack compatibility to ensure integration feasibility.
Scoring weights impact severity at 40 percent, platform integration fit at 30 percent, and urgency at 30 percent.
Exclusion logic removes accounts where incumbent threat intel partnerships create displacement friction.
Reply rate improved from 35 to 58 percent as intel-native signals and adversary infrastructure briefs demonstrated differentiated platform value rather than generic IR services pitch.
Qualified meeting progression increased from 50 to 78 percent because role-based outreach aligned with actual buyer priorities: CISOs received board-ready attribution frameworks, SOC managers received workflow integration blueprints with MTTD/MTTR projections, and TI leads received technical adversary infrastructure analysis.
Close rate lifted from 40 to 72 percent driven by integration workshop approach that proved platform value inside existing security stack within 14-day PoC cycles.
Average deal size increased 65 percent as platform adoption expanded from initial incident response use case to ongoing threat hunting and proactive monitoring programs.
Pipeline from intel-native signals (lookalike domains, DNS anomalies) generated 3x volume compared to disclosure-only sourcing, demonstrating the playbook's ability to surface opportunities before competitors using commodity approaches.
You will speak with a market engineer, review the signals and workflows that fit your market, and leave with concrete next steps.
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