Secure Software Development Lifecycle: Building Security Into the Work

A Secure SDLC embeds security at every phase from planning to maintenance—fixing a flaw in development costs $80 versus $7,600 in production. Aikido breaks down five pillars plus a practical checklist.

Secure code review as boundary hunting: trace attacker-controlled input to database, file, network, template and auth decisions, check authorization invariants, and cover workflow files and secrets.

Automating code review without training developers to ignore it: start with narrow, trusted checks like secrets and risky dependency changes, scope comments to diffs, and tune rules from dismissals.

What to trust, verify or keep human in automated code review: automate repeatable diff-aware checks with repo context, but reserve humans for architecture, trust boundaries and abuse cases.

AI-based review and SAST catch different classes of bugs and both have benefits. Here's how to decide which one runs where, and when your team needs both.

Post-mortem vulnerabilities often look harmless in the diff—they only surface at runtime. ProjectDiscovery says LLM code review hits just 63% precision, so PRs need validation on a running app.