Nice. Here’s a practical map of DevSecOps use cases and the kinds of solutions that address them. If you want, I can tailor this to your tech stack or industry.

What DevSecOps is in brief
- A set of practices that integrate security into every stage of software delivery and operations, with automation, policy-as-code, and feedback loops to reduce risk without slowing velocity.

Common use-case areas and what they solve
- Secure software supply chain
  - Goal: verify and tighten the provenance and integrity of software components across the supply chain.
  - Solutions: SBOM generation and management, open-source risk scanning, license compliance, reproducible builds.
- Static and dynamic code security (SAST/DAST)
  - Goal: catch vulnerabilities in code and running apps early.
  - Solutions: SAST during PRs, SCA for open-source components, DAST on test/staging, interactive app scanners.
- Infrastructure as Code (IaC) security
  - Goal: prevent misconfigurations and insecure defaults before infrastructure is provisioned.
  - Solutions: IaC scanners with policy-as-code, drift detection, compliance checks against best practices.
- Container and runtime security
  - Goal: secure container images, runtime behavior, and cluster configurations.
  - Solutions: image scanning, SBOM for images, runtime protection, behavior-based alerts, supply-chain integrity checks.
- Secrets and credential management
  - Goal: avoid leaking secrets and reduce blast radius if credentials are exposed.
  - Solutions: secret scanning in repos, vault-based secret management, short-lived credentials, automatic rotation.
- Compliance and governance
  - Goal: demonstrate required controls and stay audit-ready.
  - Solutions: policy-as-code (OPA, Gatekeeper), automated evidence collection, compliance dashboards, audit trails.
- Incident response and security automation
  - Goal: detect, triage, and respond to incidents quickly with playbooks.
  - Solutions: SOAR, automated containment, runbooks, alert correlation, remediation workflows.
- Vulnerability management and patching velocity
  - Goal: reduce exposure by timely remediation and verifications.
  - Solutions: centralized vulnerability dashboards, prioritized remediation workflows, risk-based release controls.
- Change and release risk control
  - Goal: gate risky changes and minimize blast radius in production.
  - Solutions: release gates, canary/blue-green deployments, policy checks before promotions.
- Observability and post-release security
  - Goal: monitor for anomalous or insecure behavior in production.
  - Solutions: runtime monitoring, anomaly detection, intrusion detection, secure telemetry.

Typical solutions and tooling categories
- SAST/SCA (static analysis and open-source risk)
  - Examples: SonarQube, Checkmarx, Snyk, Fortify, Whitesource.
- DAST and interactive app scanning
  - Examples: OWASP ZAP, Burp Suite, Nessus, AppScan.
- IaC security and policy-as-code
  - Examples: checkov, tfsec, terrascan, cfn-nag; OPA (Open Policy Agent), Gatekeeper.
- Container and image security
  - Examples: Trivy, Clair, Anchore, Aqua, Snyk Container, Sysdig Secure.
- Secrets management and scanning
  - Examples: GitGuardian, TruffleHog, AWS Secrets Manager + rotation tooling, Vault (HashiCorp).
- SBOM and software supply chain
  - Examples: CycloneDX tooling, Syft, SPDX tooling, FOSSA, Black Duck.
- CI/CD platforms and integration
  - Examples: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, CircleCI, Bamboo.
- Cloud security posture and governance
  - Examples: CSPM tools (Palo Alto, Wiz, CloudMapper), security dashboards, policy enforcement.
- Incident response, automation, and SOAR
  - Examples: Splunk SOAR, Siemplify, Palo Alto Cortex XSOAR, DefectDojo for metrics/triage.
- Observability and runtime protection
  - Examples: Falco, Twistlock/Prisma Cloud runtime, Dynatrace security, Datadog security.

How to architect a DevSecOps approach (high-level)
- Core principle: shift-left security and automate at every stage.
- Pipeline flow (simplified):
  - Plan/Code: scan for insecure patterns, enforce secrets hygiene, apply policy-as-code for architecture decisions.
  - Build: build reproducible artifacts; run SCA on dependencies; verify licenses.
  - Test: run SAST on code, DAST on running test apps, IaC checks.
  - Release: gate deployments with policy checks (e.g., IaC, container image age, vulnerability thresholds).
  - Deploy: secure deployment patterns (immutable artifacts, signed images, least privilege).
  - Run/Monitor: runtime security, anomaly detection, SBOM verification against known-good baselines.
  - Feedback: centralized dashboards, policy violations, and remediation tickets feed back to devs.
- Data and controls you’ll want:
  - Policy as code (OPA, Gatekeeper) to enforce rules automatically.
  - SBOMs for every release and a process to triage components.
  - Secrets scanning and automated rotation/zero-trust access controls.
  - Vulnerability risk scoring to prioritize fixes.

MVP plan to get started (rough 4–8 weeks)
- Week 1–2: Baseline and policy
  - Inventory critical assets and risks; pick 2–3 high-risk use cases (e.g., IaC security + container image scanning).
  - Define a small set of policies as code (e.g., no public S3 buckets, require SBOM for images).
- Week 3–4: Integrate scans into PRs
  - Add SAST and SCA to the code repo CI; block merges if critical vulnerabilities found.
  - Add IaC scanning to the same pipeline; fail builds for high-severity misconfigurations.
- Week 5–6: Container and secrets
  - Integrate container image scanning in your build/deploy pipeline; require images to be scanned before promotion.
  - Enable secret scanning on repos; implement automated rotation/secret management.
- Week 7–8: Observability and governance
  - Start SBOM generation for artifacts; implement a simple governance dashboard for policy violations.
  - Set up runtime security for a small namespace or service and begin incident playbooks.
- Ongoing: Expand coverage and automation
  - Add DAST in a test environment, extend policy coverage, automate remediation tickets, improve feedback loops.

Key metrics to track
- Time to remediate vulnerabilities (MTTD/MTTR) for critical items.
- Proportion of builds/releases gated by security checks.
- Coverage: percent of code, dependencies, and infrastructure covered by SCA/IaC/SAST.
- False positives rate and tuning efficiency.
- Release velocity with security gates (no sacrifice of confidence).
- SBOM completeness and use in audits.
- Number of policy violations detected and resolved.

What would you like me to tailor next?
- What stack are you on (cloud providers, Kubernetes, on-prem, language ecosystems)?
- Which stages are most critical for you (IaC, container security, supply chain, secrets, compliance)?
- Do you want a concrete recommended toolchain for your environment, or a phased rollout plan aligned to your constraints?

If you share a bit more about your goals and current setup, I’ll tailor a concrete use-case map and a starter tooling blueprint.