Why shadow AI is far riskier than shadow IT
Organizations don’t realize how pervasive shadow AI has become. And as AI's capability grows, shadow use is harder to manage.
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Why software delivery cannot depend on trust alone
Attackers turned the trusted AsyncAPI CI/CD publishing pipeline against its users, and the provenance checks all came back clean.
Black Hat 2026: AI rewrites the rules of cybersecurity
The annual cybersecurity conference focused on frontier AI agents — and what they mean for cyber. Here are three key takeaways.
AI worms are coming — and traditional controls won't stop them
Researchers built a worm that reasons about hosts it infects, and the open-weight models powering it sit outside AI-provider safety controls.
OWASP Top 10 for LLM Apps 2026: Excessive agency risk on the rise
While prompt injection and data disclosure remain concerns, excessive agency climbed the list — not surprising with recent security incidents.
Frontier AI agents: Only as safe as their containment
The post-mortems of two compromises by rogue AI agents show that security teams need to focus on guardrails, not the AI model.
AI domain takeover takeaway: Focus on the harness not the model
Research into an Active Directory takeover with a single AI prompt highlights why organizations need to focus on agentic SOCs.
How to Leverage Spectra Analyze's Search for SVG Analysis
Here's how to use Spectra Analyze to hunt for malicious SVGs, from setting up queries and evaluations of samples to tips for investigation.
Why AI coding makes zero trust an AppSec requirement
Traditional SBOMs, signing, and provenance all have blind spots, making them no longer capable of assuring software security.
Can Lean improve security for AI-coded software?
AI coding requires the stack be reconstructed with mathematical proofs built in — a task well suited to the Lean language. Here’s the reality.