CYBERSECURITY

Cybersecurity Incident Response & Post-Mortem Analytics

Turn reactive incident response into strategic, evidence-backed threat prevention.

Cybersecurity teams deal with tens of thousands of daily security alerts and unstructured incident response logs, making it difficult to analyze systemic security vulnerabilities after a breach or near-miss. Security Operation Centers can upload firewall logs, incident ticket notes, employee phishing test results, and patch deployment records into the platform. The system uses topic mapping and regression models to uncover how attackers exploited subtle policy gaps or unpatched systems.

CISOs can generate research-grade reports for C-suite executives that prove which security controls yield the highest risk reduction. This transforms reactive incident response into strategic threat prevention, allowing enterprises to harden their infrastructure against emerging cyber threats.

Base Column
incident_note ▾
Value Column
threat_flag ▾
Base Column incident_note ×Value Column ×
36%ofincident_note=credential_harvest
flag for review
breach risk
100%
flagged count
468
incident count
1,300
see examples
23%ofincident_note=unpatched_exploit
flag for review
breach risk
83%
flagged count
299
incident count
1,300
see examples

AI Topic Mapping

Use Steeped AI's AI topic mapping to categorize unstructured incident ticket notes and identify custom threat vectors like credential harvest attempts or unauthorized API calls. Quantify how often each appears and where it clusters, so post-mortems reason about attack patterns, not one-off tickets.

credential harvestunauthorized APIphishing exposure

Enterprise RAG & Custom Search

Let SOC analysts search historical incident logs and threat documentation instantly with Steeped AI's enterprise search engines, using natural context instead of exact strings. Ask how a breach started and get the exact log entries back with citations, so post-mortems move at the speed of a question.

How did the breach start?Phishing email to a finance user1Credentials reused on an unpatched host2Lateral move via an open API3

Statistical Significance Testing

Steeped AI's automated significance testing guarantees that an observed reduction in attack success after deploying a new control is mathematically real. A university-grade, 3-part framework keeps every claim defensible, so security budget goes to the controls the statistics prove actually lower risk.

Control Impact Confirmedp < 0.01 · FDR corrected

Reporting & Citations

Generate research-grade reports for the C-suite that prove which controls yield the highest risk reduction, with every finding cited to the exact log or incident behind it. No black-box scores, just board-ready evidence a CISO can defend when requesting budget or reporting to the board.

AI Report
Control Risk-Reduction Report
This report evaluates 1,300 incidents and near-misses, ranking which controls most reduce breach risk.
MFA on privileged accounts cuts credential harvest by 61%,1 the single largest reduction,2 and correlates with a 2.4x lower incident rate.3
Timely patching recurs as a driver. It prevents 27% of exploit attempts,4 22% of escalations,5 and correlates with 1.9x faster containment.6

The insights are already in your data.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.