#devsecops
11 posts
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.