In February 2025, researchers showed that data from 20,000+ GitHub repositories that were later made private could still be surfaced via Copilot, impacting 16,000+ organizations. That incident is a clean example of the shadow AI problem: employees adopt powerful AI tools fast, but security teams often can’t see what’s being used in the browser or what data is flowing into it.

The question of how much technical testing is actually needed to pass an ISO 27001 audit is relevant for security leaders from different industries. The standard requires organizations to prove that their security controls work in practice, so ISO 27001 penetration testing is frequently discussed during implementation and audit preparation.

Many teams invest in compliance monitoring tools expecting clarity and control. They map frameworks, collect evidence, and track tasks. On paper, everything looks structured. Yet audits don’t evaluate how well your dashboard is configured. They assess whether controls actually work: consistently, over time, with clear ownership and traceable proof.

It's easy to think that only careless employees fall for phishing attacks. But what if that’s not the case? New phishing statistics reveal that senior executives are 23% more likely to fall victim to AI-driven, personalized attacks. Why?

AI tools can now generate working software in minutes. A founder can describe an idea, press enter, and get a prototype the same day. The speed feels revolutionary, but many teams hit the same wall a few weeks later: the code works in a demo but breaks under real-world circumstances.

Healthcare mobile app development may seem complex, but it is inevitable. Regardless of the industry, users increasingly prefer mobile products, so the demand for scalable, convenient, and secure applications is growing rapidly.
