I've always had what I would consider a hacker mindset, a curiosity to take things apart, understand them, and use that knowledge to solve problems. That mindset took me on a circuitous route into the cybersecurity industry; after being kicked out of high school for hacking computer systems, I worked a range of jobs, managing office supply companies by day and cracking Wi-Fi networks by night until I started a Digital Forensics degree which led me to the world of security research.
"World Cloud Security Day is a useful reminder to recognize how much cloud risk now comes down to everyday access decisions and overlooked misconfigurations," says James Maude, Field CTO at BeyondTrust.
Unverified and low quality data generated by artificial intelligence (AI) models - often known as AI slop - is forcing more security leaders to look to zero-trust models for data governance, with 50% of organisations likely to start adopting such policies by 2028, according to Gartner's seers. Currently, large language models (LLMs) are typically trained on data scraped - with or without permission - from the world wide web and other sources including books, research papers, and code repositories.
Only 22 percent of organizations treat AI agents as independent, identity-bearing entities, while 88 percent have already dealt with suspected or confirmed security incidents involving AI agents. Ninety percent of AI usage occurs through unauthorized personal accounts, with an average of 223 shadow AI incidents per month.
Near-identical password reuse occurs when users make small, predictable changes to an existing password rather than creating a completely new one. While these changes satisfy formal password rules, they do little to reduce real-world exposure. Here are some classic examples: Adding or changing a number Summer2023! → Summer2024! Appending a character Swapping symbols or capitalization Welcome! → Welcome? AdminPass → adminpass Another common scenario occurs when organizations issue a standard starter password to new employees, and instead of replacing it entirely, users make incremental changes over time to remain compliant.