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How Aikido secures AI pentesting agents by design
AI agents are built to explore. In cybersecurity, that exploration needs strict boundaries. This article explains how Aikido secures AI pentesting agents through architectural isolation, runtime scope enforcement, and layered controls that contain risk by design.
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.
What is Slopsquatting? The AI Package Hallucination Attack Already Happening
AI models hallucinate package names — and attackers are registering them before anyone notices. Slopsquatting is the AI-era evolution of typosquatting, and unlike its predecessor, npm's existing protections don't work. We look at the real-world research showing it's already happening, from confirmed malicious packages still pulling hundreds of weekly downloads to a hallucinated package name that spread to 237 repositories through AI agent skill files.
International AI Safety Report 2026: What It Means for Autonomous AI Systems
Over 100 experts contributed to the International AI Safety Report 2026, documenting risks from autonomous AI systems and proposing defense-in-depth frameworks. As a team operating AI pentesting systems in production, we break down where the report gets it right and where it needs more technical specificity.
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.
How Aikido secures AI pentesting agents by design
Learn how Aikido secures AI pentesting agents with architectural isolation, runtime scope enforcement, and network-level controls to prevent production drift and data leakage.
From detection to prevention: How Zen stops IDOR vulnerabilities at runtime
IDOR vulnerabilities are one of the most common causes of cross-tenant data leaks in multi-tenant SaaS. Learn how Zen enforces tenant isolation at runtime by analyzing SQL queries and preventing unsafe access before it ships.
SvelteSpill: A Cache Deception Bug in SvelteKit + Vercel
SvelteSpill is a cache deception vulnerability affecting default SvelteKit apps deployed on Vercel. Authenticated responses can be cached and exposed across users. Learn how to check if you’re vulnerable and how to mitigate risk.
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.
The CISO Vibe Coding Checklist for Security
A practical security checklist for CISOs managing AI and vibe-coded applications. Covers technical guardrails, AI controls, and organizational policies.
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