Vulnerability Intel

Vulnerability Intelligence

Use vulnerability, exploit and research intelligence to improve hypothesis generation, prioritisation and validation.

Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture

Vulnerability Intelligence: context, validation and evidence.

This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.

01

Why it matters

  • Known CVEs are only part of attacker opportunity.
  • Exploit availability, affected versions, proof-of-concept quality and real-world activity change urgency.
  • Vulnerability intelligence becomes more valuable when connected to actual exposure and APIs.
02

ThreatCanary approach

  • Ingest and enrich vulnerability data, exploit context and research material.
  • Correlate intelligence with discovered technologies, services, APIs and graph relationships.
  • Use intelligence to prioritise validation and generate better tests.
03

What it validates or reveals

  • Relevant CVEs and exploit signals.
  • Assets or APIs affected by current vulnerability intelligence.
  • Research gaps that require deeper investigation.
04

Evidence and outputs

  • A clear explanation of the exposure, affected assets and likely attack path.
  • Reproducible evidence suitable for analysts, developers and risk owners.
  • Prioritisation based on exploitability, business impact, sensitive data and chainability.
  • Owner, remediation and workflow context that can move into Jira, Slack, SIEM or reporting.

See ThreatCanary in action

Stop counting vulnerabilities. Start proving compromise paths.

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