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Kroll — Incident-response and forensic-investigation byproduct corpus: triaged disk, memory and endpoint artefacts from breach engagements, malware binaries with confirmed family attribution, attacker tactic/technique/procedure sequences with verdict labels, dwell-time and detection-latency measurements per incident, root-cause classifications, and PCI carddata-at-rest findings. A second distinct asset from the compliance-lookback and forensic-accounting practice: characterised fraud typologies with loss amounts, control-failure codes, detection channel (who found it and how) and investigatio…
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Incident-response and forensic-investigation byproduct corpus: triaged disk, memory and endpoint artefacts from breach engagements, malware binaries with confirmed family attribution, attacker tactic/technique/procedure sequences with verdict labels, dwell-time and detection-latency measurements per incident, root-cause classifications, and PCI carddata-at-rest findings. A second distinct asset from the compliance-lookback and forensic-accounting practice: characterised fraud typologies with loss amounts, control-failure codes, detection channel (who found it and how) and investigation-duration records across financial-services clients.
From 20 yearsCoverage Industrials · Information Technology · FinancialsAsset class Equities
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Kroll — Incident-response and forensic-investigation byproduct corpus: triaged disk, memory and endpoint artefacts from breach engagements, malware binaries with confirmed family attribution, attacker tactic/technique/procedure sequences with verdict labels, dwell-time and detection-latency measurements per incident, root-cause classifications, and PCI carddata-at-rest findings. A second distinct asset from the compliance-lookback and forensic-accounting practice: characterised fraud typologies with loss amounts, control-failure codes, detection channel (who found it and how) and investigatio…
Kroll offers (Alternative, Reference, Sentiment) — est. low tens of thousands of closed incidents and fraud matters across the firm's history, each bundling multiple artefact classes — so plausibly low millions of IOC and indicator records and low hundreds of thousands of labelled detection events. The genuinely valuable unit is not row count but the verified-verdict density per case: hundreds of fully attributed engagements per year would already exceed any public labelled incident corpus..
Labelled training and ground-truth evaluation for malware classification, endpoint detection and EDR alert-triage models (the hard part of detection ML is verified true-positive labels, which every closed IR case carries); attacker-TTP sequence prediction; breach-cost and cyber-insurance loss-severity modelling for underwriters; detection-latency and MDR efficacy benchmarking; fraud typology and control-failure models for bank operational-risk and insurer claims teams; regulatory lookback scoping playbooks.
The data is with 20 years of history.
Coverage spans US, UK; Research & Consulting Services, IT Consulting & Other Services, Diversified Banks; alternative, reference, sentiment; equities.
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