Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Live From Davos: The End of Human-Speed Security

This week, I am joining global policymakers and innovators in Davos for the World Economic Forum. The theme for 2026 is "A Spirit of Dialogue", a recognition that our toughest challenges require shared understanding and cooperation. As we gather to discuss the future of the global economy, we have an opportunity to lead an urgent conversation. It centers on the reality of artificial intelligence (AI), not the hype about what it might do, but on what it is already doing in our enterprises.

A New Security-Focused Path Search View for Faster, Clearer Analysis

Security teams frequently investigate whether traffic is allowed, denied, or translated along a path, but traditional visualization methods create unnecessary complexity. A standard Path Search view includes every L2 and L3 hop—switches, routers, and intermediary devices that participate in forwarding but apply no security policy. While this depth is helpful for network troubleshooting, it overwhelms analysts focused specifically on enforcement points.

Securing AI Where It Acts: Why Agents Now Define AI Risk

In the first round of the AI gold rush, most conversations about AI security centered on models: large language models, training data, hallucinations, and prompt safety. That focus made sense when AI was largely confined to generating text, images, or recommendations. But that era is already giving way to something far more consequential.

How Rubrik Zero Labs Uses LLMs to Analyze Malware at Machine Speed with Amit Malik

AI is changing how malware is built, and how it’s caught. In this episode, Caleb Tolin is joined by Amit Malik, Staff Security Researcher at Rubrik Zero Labs, to unpack how large language models are transforming malware analysis, enabling defenders to sift through thousands of samples and surface truly novel threats. From Chameleon malware abusing WSL to AI-generated attack code, this conversation explores what real data resilience looks like in an AI-driven threat landscape.

SPARK 25: Deribit Scales Crypto Options Infrastructure with Fireblocks

This is what crypto options infrastructure looks like at scale. Deribit needed to onboard custodians and expand collateral support without months of technical integration for each new relationship. Luuk Strijers, CEO of Deribit, knew they needed a partner with the security, flexibility, and network to scale faster without compromise. That partner was Fireblocks. Full wallet infrastructure across hot, warm, and cold storage Seamless expansion of collateral and coin support Frictionless custodian onboarding through Off Exchange.

What is Vibe Coding? #vibecoding #aisecurity #coding

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

The AI Authorization Revolution: Why "Who Can Do What" Is the New Security Battleground

Remember when security was simple? Users had roles. Roles had permissions. Done. Those were the days when your biggest worry was whether someone from marketing accidentally got admin access to the finance system. Welcome to 2026, where that simplicity is dead.

Why Protecto Uses Tokens Instead of Synthetic Data

On the surface, synthetic data looks like the safer option. It’s not real. It doesn’t point to an actual person. It can be reversed if needed. And it keeps systems running without exposing sensitive values. That logic makes sense. Until you look at how systems actually behave. Protecto supports both reversible synthetic data and tokenization. Referential integrity can be preserved either way. Mapping back is not the hard part. The difference is not whether you can recover the original value.