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Welcome to our blog.
2026 State of AI in Security & Development
Our new report captures the voices of 450 security leaders (CISOs or equivalent), developers, and AppSec engineers across Europe and the US. Together, they reveal how AI-generated code is already breaking things, how tool sprawl is making security worse, and how developer experience is directly tied to incident rates. This is where speed and safety collide in 2025.

Customer Stories
See how teams like yours are using Aikido to simplify security and ship with confidence.
Compliance
Stay ahead of audits with clear, dev-friendly guidance on SOC 2, ISO standards, GDPR, NIS, and more.
Guides & Best Practices
Actionable tips, security workflows, and how-to guides to help you ship safer code faster.
DevSec Tools & Comparisons
Deep dives and side-by-sides of the top tools in the AppSec and DevSecOps landscape.
AI Pentesting: Minimum Safety Requirements for Security Testing
AI pentesting is already here, but clear safety expectations are not. This article defines a minimum safety standard for AI pentesting, giving teams a concrete baseline to evaluate emerging tools.
Understanding Open-Source License Risk in Modern Software
Open source moves fast, but its licenses still have rules. This piece breaks down what open-source license risk is, why teams keep missing it in modern dependency trees, and how to stay compliant without turning it into a legal fire drill.
Aikido × Lovable: Vibe, Fix, Ship
Lovable and Aikido bring pentesting into the platform, allowing builders to simulate real-world attacks and fix issues before shipping.
Top 12 Dynamic Application Security Testing (DAST) Tools in 2026
Discover the 12 top best Dynamic Application Security Testing (DAST) tools in 2026. Compare features, pros, cons, and integrations to choose the right DAST solution for your DevSecOps pipeline.
Security testing is validating software that no longer exists
Modern teams ship faster than pentesting can keep up. Explore the growing speed gap in security testing—and why traditional approaches are falling behind.
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