Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

2001: A Space Odyssey introduced the world to HAL 9000, the fictional artificial intelligence (AI). HAL’s capabilities include everything from facial recognition to natural language processing and automated reasoning. As HAL malfunctions over time, the computer becomes violent to prevent the humans from disconnecting it. The story serves as a morality tale suggesting that without human oversight, AI is dangerous.

Security configurations are not static. They evolve over time due to software updates, policy changes, emergency patches, and human intervention. While these changes are often necessary, they can lead to configuration drift, a gradual misalignment between an organization’s security controls and its intended security policies.

We brought the message of Autonomous IT to the leading security show, and people took notice.

Mobile Device Management, commonly known as MDM, is how organizations manage, secure, and monitor mobile devices that access corporate data and applications. It helps IT teams keep smartphones, tablets, and laptops safe while allowing employees to work productively.

Where AI in the SOC is actually delivering — and where it isn’t“We’ll have a generation of security professionals who can supervise AI but can’t function without it." For all the noise surrounding “agentic AI” in cybersecurity, security operations centers are still wrestling with the same fundamental questions: What does AI genuinely improve today? Where does it fall short? How can organizations tell the difference?

Client-side skimming attacks have a boring superpower: they can steal data without breaking anything. The page still loads. Checkout still completes. All it needs is just one malicious script tag. If that sounds abstract, here are two recent examples of such skimming attacks: To further our goal of building a better Internet, Cloudflare established a core tenet during our Birthday Week 2025: powerful security features should be accessible without requiring a sales engagement.

Artificial intelligence is moving rapidly from experimentation into everyday use across financial services. From client servicing and research to operations and risk analysis, AI is increasingly embedded in core workflows. This shift is widely recognised within the industry. Recent research indicates that 67% of financial services organisations report rapid AI adoption, with 93% ranking AI as a top security priority heading into 2026. At the same time, governance structures are being established.