Shadow AI: The Silent Threat to Your Software Supply Chain
Mitigate Shadow AI risks. Analyze how unauthorized LLMs cause data exfiltration and introduce critical vulnerabilities in your software supply chain.
Part 1Sep 13, 20254 min read
Series
Secure Coding in the Age of AI
13 postsAn analysis of Shadow AI risks, supply chain vulnerabilities, and best practices for integrating LLMs into the Software Development Lifecycle (SDLC).
SAST vs. DAST: Enhancing Code Scanning with Machine Learning
Explore how Machine Learning is transforming SAST and DAST, reducing false positives, and detecting complex vulnerabilities in modern applications.
Part 2Sep 20, 20255 min read
Secure Coding with Copilot: Best Practices for AI-Assisted Dev
Learn essential DevSecOps best practices for using AI coding assistants like GitHub Copilot securely, from prompt engineering to IDE guardrails.
Part 3Sep 27, 20255 min read
Fuzzing at Scale: Using AI to Generate Edge-Case Test Inputs
Discover how AI and LLMs are revolutionizing fuzz testing. Learn how generative AI automates fuzz targets, understands input grammar, and scales edge-case discovery.
Part 4Oct 4, 20255 min read
API Security: Detecting Anomaly Usage Patterns in Microservices
Discover how AI and Machine Learning transform API security by detecting Shadow APIs, BOLA attacks, and anomalous usage patterns in modern microservices.
Part 5Oct 11, 20255 min read
Secrets Management: Preventing AI from Hardcoding Keys
Learn how to prevent AI coding assistants from hardcoding secrets. Explore ML-driven secret scanning, pre-commit hooks, and dynamic vault integration.
Part 6Oct 18, 20255 min read
Bot Management: Distinguishing Human Users from AI Scrapers
Explore how AI is fueling a new generation of sophisticated bots and how DevSecOps teams use behavioral biometrics and ML to block them.
Part 7Oct 25, 20255 min read
Web Application Firewalls (WAF): Adapting to New Injection Vectors
Discover how traditional WAFs are failing against AI-generated payloads and Prompt Injection, and how ML-driven WAAPs are securing modern LLM-integrated apps.
Part 8Nov 1, 20255 min read
The Risk of "Hallucinated" Vulnerabilities: False Positives in Audits
Discover the hidden costs of AI-driven code audits. Learn why LLMs hallucinate vulnerabilities and how reachability analysis grounds AI in deterministic truth.
Part 9Nov 8, 20255 min read
Software Bill of Materials (SBOM): Tracking AI Components
Discover why the traditional SBOM is evolving into the AI-BOM. Learn how to track LLM dependencies, training datasets, and mitigate AI supply chain risks.
Part 10Nov 15, 20255 min read
Container Security: Anomaly Detection in Kubernetes
Learn how AI and machine learning enhance Kubernetes security by detecting anomalous container behavior, zero-day exploits, and lateral movement at runtime.
Part 11Nov 22, 20255 min read
Mobile App Security: AI Threats to iOS and Android
Explore how AI is changing mobile app security. Learn about deepfake biometric bypasses, AI-automated repackaging, and protecting on-device ML models.
Part 12Nov 29, 20255 min read
Technical Debt: How AI-Generated Code Impacts Maintainability
Explore the hidden costs of AI coding assistants. Learn how LLM-generated boilerplate, inconsistent patterns, and lack of context accelerate technical debt.
Part 13Dec 6, 20255 min read
