SANS Releases Dynamic Incident Response Framework to Replace Rigid Linear Lifecycles

The SANS Institute and Faculty Fellow Joshua Wright published the Dynamic Incident Response (DAIR) framework under an open CC BY 4.0 license. The framework establishes a formalized, non-linear incident management model built around continuous verification, adaptive triage, and iterative scoping. It explicitly accounts for modern enterprise environments, including cloud architectures, ransomware dynamics, and AI-assisted triage workflows such as Model Context Protocol (MCP) integrations. Traditional incident lifecycle models—most notably NIST SP 800-61 and PICERL—have historically prescribed sequential phases: detection, containment, eradication, and recovery. In complex microservice architectures and advanced threat scenarios, these rigid abstractions frequently fail. Responders often discover expanded blast radiuses after initial containment, face lateral persistence mechanisms, or encounter secondary cascading failures. By treating triage, scoping, and verification as recurring first-class primitives rather than one-off preliminaries, DAIR provides a structural model that aligns directly with how on-call engineers and incident command teams actually operate during unfolding crises. This release reflects a broader paradigm shift across both security operations (SecOps) and Site Reliability Engineering (SRE). Modern systems engineering has largely moved past waterfall thinking in software delivery, yet incident response runbooks have remained tethered to sequential checklists. As infrastructure becomes heavily distributed and AI agents increasingly participate in automated alert triage and telemetry gathering, response frameworks must accommodate concurrent investigation paths and non-deterministic feedback loops. In practice, engineering and security leadership should review existing incident response runbooks to eliminate assumptions of linear progress. Teams should formalize dynamic scoping checkpoints—verifying that remediations hold before closing triage loops—and incorporate AI-driven context extraction without breaking traceability. Organizations mapping their controls to NIST Cybersecurity Framework (CSF) 2.0 can utilize DAIR to bridge regulatory compliance requirements with practical, adaptive command structures.