What application security (AppSec) is, why it matters, the core testing types (SAST, DAST, SCA), how it fits the SDLC, the OWASP Top 10 (2025) and best practices.
Bruno Baldo
SAST vs DAST explained: how static and dynamic application security testing differ, when to use each, and why mature AppSec programs run both.
Bruno Baldo
Learn secure software development: how to build a secure SDLC phase by phase, apply secure coding practices, and shift security left in CI/CD.
Bruno Baldo
How to write an AI coding policy — approved tools, review requirements, provenance and audit trails — and rein in shadow AI in development.
Bruno Baldo
What AI code review does well, where it's blind on security, and how to pair it with SAST and human review in a solid PR-gate workflow.
Bruno Baldo
How AI enters your CI/CD pipeline and how to gate it — shift-left scanning, SAST/SCA/DAST, policy-as-code, and provenance for AI-authored changes.
Bruno Baldo
A phase-by-phase walk through how AI is used in the software development lifecycle, from requirements to maintenance — with the security angle at the end.
Bruno Baldo
How AI generates and maintains tests, expands coverage, and prioritizes what to run — plus where human judgment and secure testing still matter.
Bruno Baldo
What the AI SDLC is, how AI reshapes every phase of software development, and how to keep AI-driven delivery secure — a practical guide for engineering and security teams.
Bruno Baldo
Practical best practices for adopting AI across the SDLC — an integrated toolchain, training, secure-by-default guardrails, and a maturity model.
Bruno Baldo
A map of AI SDLC tools by phase — coding assistants, review, testing, observability, and the security and governance layer most roundups leave out.
Bruno Baldo
AI SDLC vs traditional SDLC: how AI changes who writes code, the flow, the bottleneck, and the risk profile — a clear, phase-by-phase comparison.
Bruno Baldo
