Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

VibeScamming: Why AI-built scams are changing phishing risk

VibeScamming refers to AI-assisted phishing operations where attackers use natural-language tools to rapidly generate and modify phishing content and web pages, lowering (but not eliminating) the technical skill required. One of the primary enterprise impacts is faster phishing iteration and reconstitution after blocks or takedowns, with identity compromise remaining a major risk alongside malware and other payload-based attacks.

Cloudflare Just Shipped 20+ Features for AI Agents in One Week

The conversation explores why the Internet and the cloud were not designed for an AI-agent world, and what infrastructure needs to change as software agents begin generating code, running workflows, and interacting directly with online services. Ming and Anni walk through several announcements from Cloudflare’s Agents Week, including new tools for agent infrastructure, memory, developer workflows, AI Gateway, email, artifacts, browser automation, security, and agent-ready websites.

CISOs Missing the Real AI Threat #podcast #aisecurity

This episode looks at what happens when AI starts finding vulnerabilities at scale, restricted access creates market imbalance, and security teams struggle to keep pace. It covers fragile infrastructure, bug brokers, overloaded analysts, CISO fear, and the growing sense that cyber defence is entering a faster and harsher era.

Ep 39: This is your first ransomware attack, not ours

On this episode of Masters of Data, we sat down with Steven Manley, CTO of Druva, to get the unfiltered truth about ransomware: it's not a matter of if you'll be breached, but when, and bad actors are now launching hundreds of attacks at a surprisingly low cost. We dig into why attackers lurk undetected for 200-plus days, how AI is being weaponized for everything from eerily convincing voice phishing to secretly training your own AI systems against you, and why your most protected assets are rarely what gets hit first.

The 7 Rs of AWS Application Migration: Choosing the Right Path for Each Workload

Most application migration projects fail the same way: someone picks a single strategy for the entire portfolio, then tries to force every workload into it. Lift-and-shift everything to meet a data centre exit deadline. Refactor everything because someone read a cloud-native manifesto. Retire nothing because no one wants to make the decision. AWS’s 7 Rs framework exists to prevent that.