Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From secure service mesh rollouts to AI cluster hardening, see how KubeCon + CloudNativeCon NA 2025 redefined identity, trust, and governance in Kubernetes environments.

Ransomware attacks target your backups before anything else. Recent data shows that two-thirds of organizations faced ransomware in the past two years, with attackers specifically hunting backup infrastructure to eliminate recovery options. Once your backups are gone, you’re left with two choices: Pay up or lose your data permanently.

It seems as though we’ve been talking about the zero trust model for years. Although it isn’t a new concept, only now has it really managed to transition from theory to practice. This cybersecurity framework ‒ based on implicit distrust ‒ used to seem somewhat abstract, more like a strategic idea than an actual strategy. Today, however, we’re witnessing a paradigm shift that’s making it possible to implement zero trust effectively.

Gmail has always been a common target for cybercriminals, and with the arrival of advanced AI tools, the threat level has increased significantly. Now, attackers no longer rely on generic phishing emails or scam methods. They are using AI to create convincing messages and imitate real support agents to make attacks look more genuine. This change in attack patterns has made Gmail users more vulnerable because they can’t differentiate between real and fake messages.

A major publicly traded CPG company wanted to adopt LLM to improve performance marketing, analytics, and customer experience. However, the IT team blocked AI usage and uploads to external AI tools as interacting with public AI models could expose sensitive brand, consumer, and financial data. This isn’t an isolated problem. It’s a pattern across enterprises: business agility collides with security requirements.

The internet’s fragility was evident again during the recent Cloudflare outage. A single internal fault rippled outward and disrupted major websites and business applications. X, ChatGPT, media platforms, dashboards and thousands of other services simultaneously showed 5xx errors. And this is not new.

This blog kicks off our new series, Inside the Agent Stack, where we take you behind the scenes of today’s most widely adopted AI agent platforms and show you what it really takes to secure them. Each installment will dissect a specific platform, expose realistic attack paths, and share proven strategies that help organizations keep their AI agents safe, reliable, and compliant.

AI agents are finally moving past cute demos and into actual production workflows. With AWS AgentCore, teams can build agents that write tickets, call APIs, deploy infrastructure, invoke external tools, and make changes faster than any human operator ever could. That’s powerful, but it also introduces a brand-new operational and security surface. And here’s the uncomfortable truth: most organizations have no idea what their agents are actually doing. Agentic AI isn’t magic.

Ransomware attacks spiked in October 2025, with more than 700 organizations sustaining attacks, according to a new report from Cyfirma. “In October 2025, ransomware activity surged globally, marking a significant resurgence after a period of mid-year stability,” the report says. “Victim counts climbed to 738, driven by renewed campaigns from leading operators and the emergence of several new groups.

Users and organizations should be prepared for a surge in phishing attacks over the next several weeks, as attackers take advantage of the holiday shopping season, according to a new report from Zimperium. The report notes that mobile phishing attacks increase fourfold during the holiday season. Many of these attacks impersonate well-known brands and online retailers, such as Amazon and eBay.