A framework for developing rigorous, documented alerting and detection strategies to improve incident response efficacy.
The Alerting and Detection Strategies (ADS) Framework is a structured methodology for developing and managing security alerts and detection strategies. It provides a natural language template with nine required sections that guide security teams through hypothesis generation, testing, validation, and documentation of detection logic. The framework addresses common problems like alert fatigue, poor documentation, and sub-optimal alerts going to production without proper review.
Security operations teams, incident responders, detection engineers, and organizations looking to improve their detection strategy efficacy and reduce alert fatigue through structured processes.
Developers choose this framework because it provides a battle-tested, rigorous approach to alert development that ensures quality, documentation, and peer review before deployment. Unlike ad-hoc alert creation, it systematically addresses blind spots, false positives, and validation while integrating with existing security frameworks like MITRE ATT&CK.
A framework for developing alerting and detection strategies for incident response.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The nine-section natural language framework ensures comprehensive documentation for each alert, covering everything from goals to response plans, as detailed in the README's required sections.
Mandates validation and peer review before deployment, which the README credits for reducing sub-optimal alerts and alert fatigue by catching issues early.
Promotes storing alerts in durable, version-controlled locations like GitHub, facilitating management and collaboration, as highlighted in the repository layout.
Includes ADS examples for detecting malicious activity, providing practical guidance and inspiration, as seen in the ADS-Examples directory.
Relies heavily on manual documentation and review, which can be time-consuming and slow down alert deployment, especially for teams under pressure.
Lacks integration tools or automation for common SIEMs, forcing teams to develop custom solutions for validation and management, as noted by the absence of tooling in the README.
Success hinges on organizational buy-in and discipline; without enforcement, teams may bypass the framework for faster, ad-hoc methods, reducing its effectiveness.