Cloud Configuration Analysis in Modern Penetration Testing
Misconfigured cloud permissions, not vulnerable software, are where real breaches happen.
Rosa Rahman
Section
AI-Native Security Testing
10 stories in AI-Native Security Testing.
Human Expert Review Requirements in AI-Augmented Security Assessments
Business logic flaws require human judgment that AI cannot provide.
Malik Holt
Integrating AI Security Testing Into an Existing AppSec Program
AI AppSec layers filter noise and speed triage, but humans stay essential for logic flaws.
Rosa Rahman
Source Code Analysis in AI-Assisted Vulnerability Discovery
AI-assisted analysis finds the exploitable vulnerabilities attackers actually want to compromise.
Ingrid Novak
AI-Assisted Pen Testing vs Traditional Manual Testing Compared
AI agents handle continuous testing where annual pen tests leave months of code untested.
Malik Holt
Autonomous Vulnerability Scanners With End-to-End Exploit Path Tracing
Exploit-path tracing replaces signature matching with proof of actual exploitability.
Rosa Rahman
AI Security Testing Tools That Combine Code Visibility With Data Flow Mapping
Tracing untrusted data through code reveals exploits that pattern matching misses.
Malik Holt
Approaches to Tracing Taint Through Third-Party Library Boundaries
Security tools go blind at library boundaries, letting vulnerabilities slip through undetected.
Ingrid Novak
Limitations of Fully Automated Penetration Testing Tools
Machines can't replace human judgment when vulnerabilities hide in real-world complexity.
Rosa Rahman
SAST Tools With Cross-File Taint Analysis Capabilities
Single-file scanners miss the real vulnerabilities; cross-file analysis catches them.
Malik Holt