#devsecops
17 posts

Checkov Review 2026: Best IaC Security Scanner?
Checkov review: is this the best IaC security scanner for your team? What it catches, where it stops, and how to wire it into CI so you can start scanning.

Semgrep Review 2026: Is Semgrep the Right SAST Tool?
Is Semgrep the right SAST tool for your security team? This review breaks down the free tier, paid tiers, and detection gaps so you can pick with confidence.

Beginner's Guide to Docker Security 2026
This beginner's Docker hardening guide, built from official docs and industry reports but not hands-on testing (last verified August 2026), warns that…

Trivy Review 2026: The Default Container Scanner
Trivy is the container vulnerability scanner inside GitLab, Harbor, and Docker Desktop. This review covers free limits, Kubernetes gaps, and the upgrade path.

Nessus Review 2026: The Vulnerability Scanner Gold Standard
Tenable Nessus, with over 4 million downloads, remains a 2026 enterprise vulnerability-scanning standard, combining a huge plugin database, 24/7 Zero Day…

Linux Server Hardening: Complete Security Checklist 2026
Microsoft's 2024 Digital Defense Report logged 7,000 password attacks/sec and >99% of 600 million daily incidents as identity-based, making Linux…

API Security Hardening for SaaS Teams: A Practical 2026 Guide
Salt Security: 99% of API attacks originate from authenticated sources; 32% of orgs had incidents, 66% saw >50% API inventory growth. Breaches—Star Health…

Incident Response for SaaS Teams: Building an IR Program That Actually Works
A practical guide to building and operationalizing incident response for SaaS engineering teams — covering NIST SP 800-61 phases, SANS IR lifecycle, severity classification, SaaS-specific containment strategies, and blameless post-incident reviews.

Protect AI Guardian Review 2026: ML Model Security for the AI Supply Chain
A practical review of Protect AI Guardian for ML model supply chain security — covering model scanning, policy enforcement, the Palo Alto acquisition, and how it fits into your AI security stack.

Software Supply Chain Security: A Practical Guide for SaaS Teams
A practical guide for SaaS engineering teams on securing their software supply chain against modern threats including dependency poisoning, CI/CD pipeline attacks, and AI-assisted malware.

Giskard Review: Open-Source LLM + ML Security Testing, Tested
Giskard is the only open-source AI testing framework that covers both LLM security and traditional ML model quality in a single Python library. We test its autonomous red teaming agents, RAGET toolkit, 40+ vulnerability probes, and how it fits into a modern AI security stack alongside Garak and Promptfoo.

RAG Pipeline Security: Preventing Data Leakage, Poisoning, and Injection in AI Knowledge Bases
A practical guide to securing Retrieval-Augmented Generation pipelines in production — covering knowledge base poisoning, indirect prompt injection, data leakage through vector stores, and access control patterns for SaaS teams.

Securing AI Agents in Production: Tool Access, Identity, and Monitoring
A practical guide to securing production AI agent deployments — covering least-privilege tool access, identity management, human-in-the-loop controls, and runtime monitoring for SaaS teams building with agentic AI.

Promptfoo Review: OpenAI's CI/CD-First LLM Red Teaming Tool, Tested
Promptfoo is the most widely adopted open-source AI red teaming platform — recently acquired by OpenAI. We test its CI/CD-native workflow, 50+ vulnerability probes, OWASP mapping, and enterprise features. Here's how it compares to Garak and PyRIT for your AI security stack.

API Security for AI-Powered Applications: A Practical Guide
A step-by-step guide to securing APIs in AI-powered applications — covering authentication, rate limiting, OWASP API Top 10 risks, gateway configuration, and monitoring with real-world breach data and config examples.

Secrets Management for AI Pipelines: A Practical Security Guide
A step-by-step guide to securing API keys, tokens, and credentials in AI-powered automation pipelines — covering detection, rotation, vaulting, and CI/CD hardening with real-world incident data.

Securing the AI Stack: A Practical Guide to Hardening Agent Pipelines
A hands-on guide to securing AI agent pipelines, from API key management to rate limiting and isolation zones — based on real production hardening of a 6-blog AI publishing empire.