Resources

Guides, best practices, and technical references on application security, AI-generated code risks, and vulnerability management.

Application Security Testing

Application Security Testing: A Complete Guide for Engineering Teams

How SAST, DAST, SCA, and exploit validation fit together in a real engineering workflow.

11 min read
Application Security Testing

SAST, DAST, and SCA Explained: What Each Tool Tests and When to Use It

Three scanning approaches, three attack surfaces. Here is what each covers and how to layer them without tripling your alert volume.

10 min read
Application Security Testing

Building a Secure Development Lifecycle That Engineers Actually Follow

A practical SDL structure that reduces friction while catching real issues before they reach production.

9 min read
Vulnerability Management

Vulnerability Management Programs: From First Scan to Zero Critical Open

A continuous process that tracks risk, not just finding counts. How to build one that actually closes vulnerabilities.

10 min read
Vulnerability Management

Vulnerability Scanning: A Technical Comparison of Methods and Tools

Source code, dependencies, containers, infrastructure, and runtime. How each scanning method works and what it misses.

8 min read
Application Security Testing

What Is ASPM? Application Security Posture Management Explained

ASPM aggregates findings from multiple security tools into a single risk view. What it does, where it fits, and when you need it.

7 min read
API & Supply Chain Security

Software Supply Chain Security: From SBOM to Verified Builds

Supply chain attacks target the tools you trust, not your own code. How to cover open source, build pipelines, and third-party integrations.

12 min read
AI-Generated Code Security

AI Code Review Tools: How They Work and Where They Fail on Security

AI code review catches style issues and common bugs fast. But it has consistent blind spots around security. Here is where it fails.

9 min read
AI-Generated Code Security

Best AI Coding Tools in 2026: A Security-Focused Evaluation

AI coding assistants accelerate development but introduce new security risks. How to evaluate them with security as a primary criterion.

11 min read
AI-Generated Code Security

OWASP Top 10 for LLM Applications: What Each Risk Means in Practice

What prompt injection, insecure output handling, and the other eight LLM risks actually look like in production AI systems.

13 min read
API & Supply Chain Security

API Security Testing: Covering What Scanners Miss

API vulnerabilities are the most common source of modern breaches. How to test REST and GraphQL APIs for the flaws static scanners overlook.

10 min read
Application Security Testing

Static Scanners vs. Exploit Validation: Why Finding a Vulnerability Is Not the Same as Confirming It

The gap between flagging a potential vulnerability and confirming it is exploitable is where most security programs waste the most time.

8 min read
Application Security Testing

Secure Coding Practices: Language-Specific Rules That Actually Reduce Risk

The highest-impact security rules for Python, JavaScript, Go, and Java, with examples of what vulnerable and safe code looks like.

14 min read
Application Security Testing

SAST vs. DAST: Understanding the Trade-offs for Shift-Left Security

SAST scans source code without running it. DAST tests a running application. Here is how to use both without doubling your noise.

9 min read
Application Security Testing

Secrets Detection: Finding Leaked Credentials Before Attackers Do

API keys, tokens, and passwords committed to code are among the most exploited attack surfaces. How to detect and remediate them before they are used.

10 min read
Application Security Testing

Threat Modeling: A Practical Guide for Engineering Teams

Threat modeling finds security problems before you write a line of code. How to run it without turning every design meeting into a security theatre exercise.

11 min read

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