Here’s a detailed blog post based on your table—covering each scan type, best practices,

In today’s fast-moving tech landscape, security and compliance can no longer be afterthoughts. To stay ahead of ever-evolving threats—and maintain trust with your users—every software organization needs a comprehensive, end-to-end scanning and monitoring framework.
But what should you be scanning? How do you know your pipeline covers all bases?

Below is a phase-by-phase breakdown of all critical scan types—both automated and manual—that should be part of your SDLC, with tool examples for each step. Use this as your north star for DevSecOps maturity, risk management, or audit readiness.

---

1. Pre-Commit & Developer IDE Scans

Catch problems before code leaves the developer’s laptop.

Scan Type	Description	Tool Examples
Secret Detection	Block secrets in code before commit	TruffleHog, Gitleaks
Code Quality & Linting	Style and bug checking	ESLint, Pylint
Incremental SAST/SCA	Quick vuln scan on change	SonarLint, Snyk IDE

---

2. Commit & CI Pipeline Scans

Automate deeper security checks every time code hits your repo.

Scan Type	Description	Tool Examples
SAST	Code-level vulnerabilities	SonarQube, CodeQL
SCA & License Compliance	Third-party lib CVEs/licensing	Snyk, OWASP Dependency-Check
Secret Detection (repo-wide)	Scan for secrets in all commits	GitGuardian
IaC Scanning	Infra config misconfigs	Checkov, TFLint
Test Coverage	Percent of code tested	Jacoco, Coverage.py
CI/CD Pipeline Security	Pipeline config, secrets, plugins	Cider, Legit
Threat Modeling	New features/arch review	MS Threat Model Tool

---

3. Build & Artifact Security

Don’t let vulnerabilities sneak into your deployable artifacts.

Scan Type	Description	Tool Examples
Container Image Scan	Vulnerabilities in built images	Trivy, Grype, AWS ECR
Binary/Artifact Scan	Vulnerabilities in non-container builds	JFrog Xray, Snyk
SBOM Generation	Produce software bill of materials	Syft, CycloneDX
Supply Chain Security	Build provenance, artifact signing	in-toto, SLSA, Sigstore

---

4. Testing/QA: Runtime and Dynamic Security

Test real applications in real environments.

Scan Type	Description	Tool Examples
DAST	External, runtime attacks on app	OWASP ZAP, Burp Suite
API Security Testing	Specialized API vulnerabilities (OWASP API Top 10)	42Crunch, StackHawk
IAST	Runtime vuln detection	Contrast, Veracode
Fuzz Testing	Discover unknown/crash bugs	AFL, Jazzer, OSS-Fuzz
Performance/Load Testing	DoS, concurrency issues	JMeter, Locust

---

5. Production & Continuous Monitoring

Security is not “done” at deployment—keep scanning in prod.

Scan Type	Description	Tool Examples
CSPM	Cloud config and compliance	Wiz, Prisma Cloud
CWPP	Runtime protection for workloads	Aqua, Sysdig, Prisma
K8s Security	Cluster, RBAC, runtime	kube-bench, kube-hunter
DSPM/DLP	Sensitive data discovery/classification	BigID, Varonis, Macie
Malware Scanning	File system, container, host malware	ClamAV, CrowdStrike
Network Security Monitoring	Network/host scanning, intrusion	Nessus, Qualys, OSSEC
Continuous API Monitoring	Runtime API risk/anomaly detection	Salt, Noname
Compliance Audit	PCI, HIPAA, SOC2, etc.	AWS Audit Manager, Prisma

---

6. Strategic and Manual Security Activities

Automated scans are vital—but the human factor remains key!

Scan Type	Description	Tool Examples
Threat Modeling	Pre-empt threats in new designs	Workshops, tools
Manual Code Review	Security review of critical logic	Peer review, checklist
Penetration Testing/Red Team	Simulate real attackers	In-house, third-party
Security Awareness Training	Regular training/refreshers	Phishing drills, eLearning
Incident Response Exercises	Tabletop, blue/purple team	Playbooks
Metrics/Reporting	Scan coverage, remediation time, risk trends	Dashboards

---

Why This Matters

Organizations that rigorously implement all these scans (and assign clear ownership for each) will:

• Reduce the risk of breaches or costly vulnerabilities.
• Satisfy even the strictest compliance and audit demands.
• Empower teams to ship high-quality software, fast and safely.
• Stay resilient against the rapidly evolving threat landscape.

---

Getting Started: How to Use This Checklist

• Assign Responsibility: Who owns each scan?
• Automate Everything Possible: Integrate tools into pipelines for real-time feedback.
• Track & Improve: Monitor status, remediate findings quickly, and iterate.
• Review Quarterly: As your tech stack and threat landscape change, keep the checklist fresh!

---

---

a. Mobile Application Security Testing

• Why: If your org develops mobile apps, dedicated mobile security testing (static, dynamic, and behavioral) is vital.
• Tools: MobSF, AppSweep, NowSecure

b. Database Security Scanning

• Why: Databases are high-value targets; scanning for misconfigurations, weak access, and vulnerabilities is crucial.
• Tools: DbProtect, SQLmap, Rapid7 InsightVM

c. Host/Endpoint Vulnerability Scanning

• Why: Not all vulnerabilities are in containers/cloud; traditional servers and endpoints need regular scanning.
• Tools: Qualys, Nessus, Rapid7

d. External Attack Surface Management (EASM)

• Why: Discover and monitor exposed assets (domains, IPs, APIs) attackers could find.
• Tools: ASM by Palo Alto, Shodan, Censys

e. Configuration Drift Detection

• Why: Detects when production configs drift from secure baselines.
• Tools: Chef InSpec, DriftCTL

f. RASP (Runtime Application Self-Protection)

• Why: Provides real-time protection/monitoring inside the app at runtime.
• Tools: Contrast Protect, Signal Sciences

g. Asset Discovery/Inventory Scanning

• Why: Foundational for security—know what you have before you can secure it.
• Tools: ServiceNow, Lansweeper, AWS Config

2. Minor Clarifications

• Threat Modeling is listed twice (in Commit/CI and Strategic/Manual). That’s fine, but clarify if you mean lightweight/automated vs. full manual workshops.
• Metrics/Reporting: Consider adding “Risk Scoring” or “Prioritization” to emphasize actionable outputs.
• DSPM/DLP: Data Security Posture Management is great; ensure you also cover data-in-transit and data-at-rest scanning.

3. Optional/Advanced (for large orgs)

• Zero Trust Posture Scanning: Evaluate trust boundaries, least privilege, and authentication.
• Third-Party Risk Scanning: Assess vendors’/partners’ security posture.
• Phishing Simulation: Already covered under Security Awareness, but can be called out explicitly.

4. Example Table Additions

Here are a few rows you could add for completeness:

Phase	Scan Type	Description	Automated/Manual	Tool Example(s)	Status
Build/Artifacts	Mobile App Security Testing	Static/dynamic analysis for mobile apps	Automated	MobSF, NowSecure	[ ]
Prod/Monitoring	Database Vulnerability Scan	Scan DBs for vulns & misconfigs	Automated	DbProtect, SQLmap	[ ]
Prod/Monitoring	Host/Endpoint Vulnerability	Scan servers, VMs, endpoints for vulns	Automated	Nessus, Qualys	[ ]
Prod/Monitoring	EASM/Attack Surface Mgmt	Discover exposed assets, shadow IT	Automated	Shodan, Censys	[ ]
Prod/Monitoring	RASP	Runtime app self-protection	Automated	Contrast Protect	[ ]
Prod/Monitoring	Config Drift Detection	Detects deviation from secure baselines	Automated	DriftCTL, Chef InSpec	[ ]
Strategic/Manual	Asset Discovery/Inventory	Inventory all IT assets	Automated	ServiceNow, Lansweeper	[ ]

5. Final Thoughts

• You have covered all the core and most advanced scan types.
• The above additions are “nice-to-haves” for full maturity and may not apply to every org.
• Your structure (phase, type, description, automation, tools, status) is excellent for tracking and reporting.

Conclusion

Yes, your list is now essentially complete for a modern software org.
If you add the above suggestions (especially mobile, database, endpoint, and attack surface scanning), you will have a world-class, exhaustive catalog of security scans and checks.

Great work! If you want a downloadable version or a template, let me know!