As AI becomes an integral part of how modern applications are built and deployed, it introduces new risks and new blind spots for security teams. Large language models, machine learning packages, and embedded AI services can be hidden deep in the software supply chain or running unnoticed in production. Without purpose-built visibility, organizations risk exposing sensitive data, shipping vulnerable code, or relying on models they cannot fully govern.

In July 2025, pro-Palestinian hacktivist group zerodayx1 launched its own Ransomware-as-a-Service (RaaS) operation, following the path of other hacktivist teams. They loudly announced the initiative on platforms commonly used for such purposes, including X (formerly Twitter) and Telegram. Zerodayx1 exemplifies the ongoing evolution of these groups, underscoring the importance of studying and understanding their methods in order to better prepare for and respond to such threats.

When Heathrow, Brussels, and Berlin airports suffered a cyber attack that disrupted their check-in and baggage systems, the fallout was immediate. Flights were canceled, queues stretched through terminals, and staff scrambled to switch to manual processes. For some of Europe’s busiest hubs, this was more than an inconvenience. It was a reminder that disruption, not data theft, is often the attacker’s goal.

Stop leaving the doors open for attackers. Protect your Drupal site with automated provisioning that creates, updates, and removes user accounts in sync with your identity system.

Modern enterprises run not only web apps and databases, but also AI agents and tooling servers. MCP (Model Context Protocol) is an interface pattern that exposes tools-functions the agent can call, such as a browser driver, accessibility checker, or script generator. One of the most powerful tools we found exposed was the ability to trigger a browsing task-likely driven by Selenium, Playwright or similar.

For too long, security has been defined by reaction, responding to every alert, chasing every anomaly, burning time and energy without clarity. But the strongest fighters don’t swing at every feint. They train, prepare, and conserve their energy for the moments that matter. That’s not just strength; that’s resilience. Now, this philosophy has entered the SOC. And it has a name: Sumo Logic Dojo AI.

At Cloudflare, our mission is to help build a better Internet. That mission is ambitious, long-term, and requires constant innovation. But building for the future isn’t just about the technology we create — it’s also about investing in the people who will create it. That’s why today, we are incredibly excited to announce our most ambitious intern program yet: Cloudflare aims to hire as many as 1,111 interns over the course of 2026.

In the Asia-Pacific region, the crypto-native trading firms that built the digital asset market have expanded into new roles, becoming liquidity providers and on-ramps and off-ramps for institutions. They are increasingly using stablecoins to serve PSPs, ecommerce platforms, marketplaces for gaming, creators, and freelancers, and supply chain businesses that need to move money quickly.

‍Conducting a risk assessment has become a baseline requirement, not merely an internal best practice, for building effective GRC programs. Whether their focus is on cybersecurity or the newer frontier of AI, assessments offer a systematic means of illuminating an organization’s current exposure and providing visibility into how safeguards are working across both domains. For many teams, however, beginning the assessment remains a challenge.

The automotive industry is undergoing its most dramatic transformation in over a century. As vehicles become increasingly connected, autonomous, and software-defined, cybersecurity has emerged as a critical safety issue. What was once a niche concern is now a core requirement for manufacturers, regulators, and consumers. Automotive IoT security has become essential for protecting connected cars from security risks.