Welcome to our blog.
Introducing Aikido Altar: the model that makes sovereign security intelligence possible
Altar is our first open-weight AI model, and the first step toward sovereign security intelligence. It runs entirely inside a customer's own infrastructure, powering Aikido Machine's autonomous pentesting without any code ever leaving the building.
Aikido achieves AWS Security Competency for Application Security
AWS checked our homework: we're officially an AWS Security Competency Partner for Application Security.
The CVE spike across major software companies is a remediation problem
A viral chart this month showed CVEs climbing sharply across 21 major software companies, and the industry split into two camps arguing about what it means. Both are missing the number that actually determines risk: how fast the vulnerabilities that matter get fixed.
2026 State of AI in Pentesting
Our latest report captures the perspectives of 400 CISOs, CTOs, and senior engineering leaders across Europe and the US. It explores how AI is changing penetration testing, why traditional approaches are struggling to keep pace with modern software delivery, and what security leaders want from the next generation of penetration testing.
Shai-Hulud was the best thing to happen to supply chain security
npm Trusted Publishing sat near-idle for two years. Then Shai-Hulud and 14 more supply chain attacks pushed adoption 3.4x. Charlie looks at the data behind it.
Popular Rust crates arrayref, append-only-vec, and internment compromised in Supply Chain Attack
A supply chain attack compromised two popular Rust crates, arrayref and append-only-vec, injecting a dependency on the malicious proc-macro1 package that downloads and executes a remote payload at build time.
What is AI harness engineering?
Harness engineering is the code around an AI model that turns it into an agent. What a harness does, why it beats picking a model, and how to build one.
Who was behind the attack? Possibly nobody
Three summer disclosures documented AI agents attacking real organizations with no human intent in the chain. Incident response has no box for this yet.
Four incident-response decisions from the Hugging Face breach
Recon, stolen credentials, hidden C2, and rebuild-or-patch. Four Hugging Face breach decisions that show whether you can catch an attack in progress.
Better generic secrets detection starts with finding non-secrets
Some API keys are meant to be public. Betterleaks now removes them from generic secret findings, dropping thousands of false positives per scan.
Finding eight high-severity vulnerabilities in NodeBB in six hours
Eight high-severity NodeBB vulnerabilities, found by our AI Pentest in six hours. Full technical breakdown of the XSS chains, auth bypasses, and post hijacking.
SQL injection isn't dead
The fix for SQL injection is decades old and still works. So why did WordPress core just need an emergency patch for one? The data, and how to defend against it.
Introducing Aikido Altar: the model that makes sovereign security intelligence possible
Aikido Altar is a compressed, open-weight AI model built for sovereign security intelligence, powering Aikido Machine's on-prem, air-gapped pentesting.
Novel supplychain.local Go worm appears
"supplychain.local": malicious code found in MemTensor's npm plugin (0.1.21, 0.1.23) and PyPI's MemoryOS (2.0.34).
5 Socket security alternatives and why they are better
Socket built its name on malware detection. But detection speed alone is no longer the whole story. Here's how Aikido and four other alternatives compare on supply chain security, reachability analysis, licensing, and more.
AI Pentesting Buyer's Guide: How to evaluate AI pentesting vendors
Learn how to evaluate AI pentesting vendors with practical buying criteria, research from 1,000+ AI pentests, and a downloadable evaluation checklist.
A practical CTO security checklist to be Mythos-ready
A practical checklist for SaaS CTOs navigating a world with Mythos and agentic AI threats. Built around the defender's advantage: you have context attackers have to work to get. Covers the controls, practices, and operational habits that determine whether your team finds and fixes issues before someone else does.
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