Overview#
Identifying threats by matching known patterns or indicators. Effective for known malware and exploits but weaker against novel attacks.
Core objectives#
- Establish shared definitions of Signature-Based Detection for security, engineering, and leadership teams.
- Connect Signature-Based Detection activities to measurable risk reduction and resilience goals.
- Provide onboarding notes so new team members can quickly understand how Signature-Based Detection works here.
Implementation notes#
- Identify the primary owner for Signature-Based Detection, the data sources involved, and the systems affected.
- Document the minimum viable process, tooling, and runbooks that keep Signature-Based Detection healthy.
- Map Signature-Based Detection practices to standards such as ISO/IEC 27001, NIST CSF, or CIS Controls.
Operational signals#
- Leading indicators: early warnings that Signature-Based Detection might degrade (e.g., backlog growth, noisy alerts, or missed SLAs).
- Lagging indicators: realized impact that shows Signature-Based Detection failed or needs investment (e.g., incidents, audit findings).
- Feedback loops: retrospectives and metrics reviews that tune Signature-Based Detection continuously.
Related practices#
- Align Signature-Based Detection with defense-in-depth planning, threat modeling, and disaster recovery tests.
- Communicate updates to stakeholders through concise briefs, dashboards, and internal FAQs.
- Pair Signature-Based Detection improvements with tabletop exercises to validate expectations.