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Practical guides for developers, AppSec, and platform teams.
AI Code Security: How to Secure AI-Generated and Human-Written Code in 2026
AI code security is how modern teams find and fix vulnerabilities in both human-written and AI-generated code. Learn the categories, the AI-native vs AI-assisted distinction, a practical checklist, and how to choose a platform in 2026.
AI Pentest vs Traditional Pentest: Which One Should You Choose?
AI pentest vs traditional pentest, compared head to head. See how AI penetration testing and traditional human-led pentesting differ on speed, cost, depth, compliance, and remediation, with buying scenarios and how to combine both.
AI Vulnerability Scanner: What It Is, What It Finds, and How to Choose One
An AI vulnerability scanner uses AI to find, prioritize, and help fix security vulnerabilities in code, dependencies, and configuration. Learn how it differs from traditional scanners, SAST, SCA, DAST, and AI pentesting, what AI should actually do, and a buyer checklist.
Best Aikido Alternatives in 2026: AppSec Platforms Compared
A buyer-focused guide to the best Aikido alternatives in 2026. Compare Corgea, Snyk, Semgrep, Checkmarx, Endor Labs, Veracode, GitHub Advanced Security, Wiz Code, and OX Security on SAST depth, coverage, AI triage, auto-fix, autonomous pentesting, and pricing model.
Autonomous Pentesting: What It Is, How It Works, and When to Use It
A practical guide to autonomous pentesting: a clear definition, the end-to-end workflow, how it compares to DAST, vulnerability scanning, and manual pentesting, where it is strongest, where humans still matter, and how Corgea's autonomous AI Pentest fits.
Best AI Code Security Tools in 2026: AI-Native and AI-Assisted Platforms Compared
Compare the best AI code security tools in 2026 across AI-native detection, AI-assisted triage, SAST, SCA, secrets, IaC, auto-fix, developer workflow, and pricing model. Includes quick picks, a full comparison table, and how to evaluate tools on your own code.
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Best AI Pentesting Tools in 2026: Autonomous Security Testing Compared
A buyer's guide to the best AI pentesting tools in 2026. Compare autonomous and AI-assisted penetration testing tools, traditional pentest marketplaces, pricing clarity, and which one fits startups, mid-market, and enterprise teams.
Best Checkmarx Alternatives in 2026: Faster AppSec Tools Compared
A buyer-focused guide to the best Checkmarx alternatives in 2026. Compare Corgea, Snyk, Semgrep, Veracode, GitHub Advanced Security, SonarQube, Endor Labs, Aikido, and Fortify on SAST depth, setup speed, AI triage, auto-fix, developer workflow, and pricing model.
Best depthfirst Alternatives in 2026: Autonomous AppSec Tools Compared
A buyer-focused guide to the best depthfirst alternatives in 2026. Compare Corgea, Snyk, Semgrep, Checkmarx, Aikido, Endor Labs, Veracode, GitHub Advanced Security, Wiz Code, and OX Security on autonomous AppSec, SAST depth, coverage, AI triage, auto-fix, and pricing model.
Best Semgrep Alternatives in 2026: 10 SAST Tools Compared
A buyer-focused guide to the best Semgrep alternatives in 2026. Compare Corgea, OpenGrep, Snyk Code, Checkmarx, GitHub Advanced Security, SonarQube, Veracode, Endor Labs, Aikido, and Qwiet AI on SAST depth, custom rules, AI triage, auto-fix, coverage, and pricing model.
Best Snyk Alternatives in 2026: 8 AppSec Tools Compared
A buyer-focused guide to the best Snyk alternatives in 2026. Compare Corgea, Semgrep, Checkmarx, Aikido, Endor Labs, Veracode, GitHub Advanced Security, SonarQube, Mend.io, and OX Security on SAST, SCA, secrets, IaC, containers, AI triage, auto-fix, and pricing model.
AI Pentesting vs DAST: What's Actually Being Replaced?
AI pentesting vs DAST, explained. How AI penetration testing compares to dynamic application security testing and human pentesters on intelligence, cost, speed, and trust.
How AI Pentesting Works: Inside AI-Driven Penetration Testing
A deep dive into how AI pentesting works - the multi-agent methodology, how it simulates real-world attacks, validates exploitability, and what it adds over traditional and automated testing.
What Is AI Penetration Testing? A Complete Guide
Learn what AI penetration testing is, how it differs from traditional and automated pen testing, what it can and cannot do, and where it fits in a modern security program.
GitHub npm v12 Security Changes: What Teams Need to Know
npm v12 turns Git dependencies, remote URLs, and install scripts into explicit opt-ins. Learn what is changing, why GitHub made these defaults, and how to prepare before the July 2026 release.
Application Security Testing: The Complete Guide (2026)
A complete guide to application security testing (AST): the 5 core types (SAST, DAST, IAST, SCA, RASP), a tools comparison table, where each test fits in the SDLC, how to choose, and best practices.
How to secure developer machines against supply chain attacks
A pragmatic developer machine security checklist for supply chain attacks, covering package installs, extensions, credentials, OS hardening, CI/CD trust boundaries, and incident response.
CI/CD Security Guide: Best Practices for Secure Pipelines
A platform-agnostic CI/CD security guide covering tokens, secrets, OIDC, runners, artifacts, caches, release workflows, scanning, and Corgea.
C# Security Best Practices
A practical C# and .NET security guide covering ASP.NET Core validation, authorization, EF Core, secrets, NuGet risk, and Corgea scanning.
Docker Security Best Practices
A 2026 Docker security guide covering image hardening, non-root containers, secrets, SBOMs, Compose, runtime controls, CI/CD scanning, and Corgea.
Kubernetes Security Checklist 2026
A practical Kubernetes security checklist for 2026 covering RBAC, Pod Security, network policies, secrets, images, admission controls, IaC, and Corgea scanning.
Node.js Security Best Practices 2026
A practical Node.js security checklist for 2026 covering validation, auth, npm dependencies, secrets, Express hardening, CI/CD, and Corgea scanning.
PHP Security Best Practices
A modern PHP security checklist covering input validation, PDO, sessions, file uploads, Composer dependencies, secrets, frameworks, and Corgea scanning.
Terraform Security Best Practices
A practical Terraform security guide covering state protection, secrets, provider pinning, module trust, cloud IAM, policy-as-code, CI/CD, and Corgea IaC scanning.
GitHub Actions Security Checklist for Supply Chain Attacks
Use this GitHub Actions security checklist to lock down workflow permissions, secrets, third-party actions, runners, artifacts, and release pipelines after recent CI/CD supply chain attacks.
What Is SAST? Static Application Security Testing Explained
Learn what SAST stands for, what it means, how static application security testing works, what vulnerabilities it finds, and how to implement it effectively in your SDLC.
Best SAST Tools in 2026: Accuracy, Speed, False Positives, and Autofix Compared
Compare the best SAST tools in 2026 by detection accuracy, false positives, autofix quality, AI capabilities, developer workflow, language coverage, pricing model, and enterprise readiness.
Best SCA Tools in 2026: Software Composition Analysis Tools Compared
Compare the best SCA tools in 2026 by dependency scanning depth, reachability analysis, SBOM and license support, pull request fixes, CI/CD fit, and pricing model for AppSec and platform teams.
SAST vs SCA vs DAST: What Each Finds and When to Use Them
SAST vs SCA vs DAST explained for AppSec and engineering leaders: what each scans, what it finds best, when it runs, developer impact, limitations, example tools, and how to combine them into a modern application security stack.
Software Composition Analysis Tools: Complete Buyer Guide for 2026
A buyer-focused guide to software composition analysis tools in 2026: what SCA does, why it matters now, what modern SCA should deliver, how it compares to SBOM and dependency scanning, and where traditional SCA falls short.
Must-Have Cursor Rules for TypeScript Developers
A practical set of Cursor rules for TypeScript teams that helps block unsafe code patterns, secret leaks, missing auth checks, and other common security mistakes.
All You Need to Know About DAST in 2025 - Comprehensive Guide
Dynamic Application Security Testing (DAST) is a black-box security testing technique that evaluates a web application while it is running. Instead of analyzing source code, DAS...
Angular Security Best Practices 2025
Angular is one of the most widely used frameworks for building modern web applications. But with its popularity comes increased attention from attackers. A single overlooked vul...
Credential Stuffing
In the rapidly evolving digital landscape, businesses grapple with a myriad of cybersecurity threats. Among these, credential stuffing emerges as a serious challenge, especially...
Denial of Service Attacks
A Denial of Service (DoS) attack is when an attacker tries disrupting the normal functioning of a targeted server, service, or network. The primary goal is to make the targeted...
Django Security Best Practices: A Comprehensive Guide for Software Engineers
Django, the robust and versatile Python web framework, is a favorite among developers for its "batteries-included" philosophy. However, with great power comes great responsibili...
Security Teams: Don't fall for this LLM trap
I'm Ahmad, the founder of Corgea. We're building an application security platform that automatically finds, triages, and fixes insecure code. Corgea uncovers vulnerabilities oth...
Don’t Sh*t-Left: How to Actually Shift-Left Without Failing Your AppSec Program
"Shift-left" has become a rallying cry in application security: identify vulnerabilities early, empower developers to fix them, and save time and money. But in practice, shift-l...
Express JS Security Best Practices 2025
Express is one of the most popular Node.js frameworks and is used by thousands of APIs and applications globally. In 2025, the security landscape has evolved – from sophisticate...
Flask Security Best Practices 2025
Flask is a popular lightweight web framework for Python, but its flexibility means developers must take extra care to secure their applications. Web threats like Cross-Site Scri...
How to choose a DAST Tool?
Dynamic Application Security Testing (DAST) tools are essential for securing modern web applications. They simulate real-world attacks against running apps to find vulnerabiliti...
How to Integrate Static Analysis Tools into Your CI/CD Pipeline
Static Application Security Testing (SAST) is no longer a "nice-to-have" — it's a must-have. As developers ship code faster than ever, security must shift left. Integrating stat...
How to Reduce False Positives in SAST: The Complete Guide (With Data)
SAST false positives waste 30%+ of triage time. This data-backed guide covers the five root causes, a 7-step framework to cut noise by up to 80%, tool comparisons, and AI-powered triage techniques.
Python Security Best Practices: A Comprehensive Guide for Engineers
We wanted to put together a high-level guide on Python security best practices to help every engineer get up to speed on the topic. Being one of the most popular programming lan...
React Security Best Practices 2025
React is one of the most popular frameworks used for Web Development. Secure coding in React requires awareness against common web threats like XSS, CSRF, and injection attacks....
Rust Security Best Practices 2025
Rust has a reputation for safety. Its design prevents entire classes of bugs at compile time, drastically reducing the application attack surface. However, no programming langua...
Securing Model Context Protocol (MCP) Servers: Threats and Best Practices
The Model Context Protocol (MCP) is an open standard (introduced by Anthropic in late 2024) that allows AI models, especially large language models (LLMs), to interact with exte...
Spring Boot Security Best Practices 2025
Spring Boot is widely used for building Java web backends, but it often handles sensitive data and must meet strict compliance requirements. Recent incidents like the Spring4She...
SQL Injection
What is SQL Injection?
Top 10 DAST Tools: Best Dynamic Application Security Testing Solutions
In today’s fast-paced digital world, web applications are prime targets for attackers. While developers strive to write secure code, vulnerabilities often slip through and make...
Understanding AI and Large Language Models (LLMs): A Guide for Security Engineers
In application security, Large Language Models (LLMs) have emerged as a powerful tool to help engineers identify vulnerabilities, distinguish false positives, and even suggest o...
Next.js Security Best Practices 2025
Best practices for securing Next.js applications in 2025, including server-client boundaries, validation, CSP, auth, and middleware safety.
JavaScript Security Best Practices
A practical guide to securing JavaScript applications, covering XSS, CSRF, dependency risk, browser hardening, and safer development workflows.
Golang Security Best Practices
A comprehensive guide to securing Go applications with practical advice on validation, auth, dependency hygiene, safe concurrency, and secure error handling.
What's MITRE and What's Going On?
A snapshot of the April 2025 MITRE and CVE funding uncertainty, why it mattered, and what disruption to the CVE program could have meant for defenders.
SAST vs DAST: Which One Fits Your Application Security Needs?
A comparison of SAST and DAST that explains where each approach fits, what each misses, and how teams can combine them effectively.
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