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Data purges deemed an example of 'misaligned behavior' that upstart is working to avoid
Frontier AI Developer Says Enterprise Customers Could Mistake the Two BrandsAnthropic alleges Abnormal's 2025 rebrand unlawfully mirrors its visual identity as both companies increasingly compete for enterprise AI security customers, while Abnormal denies any likelihood of customer confusion and says its branding predates Anthropic's claims.
This week was a reminder that attackers do not always need big tricks. One small mistake, one old access path, one missed patch, and suddenly the door is open
Many healthcare sector organizations are delaying to even begin contemplating - let alone strategizing - how to mitigate post-quantum risk - but procrastination is a major mistake, said Ali Youssef, director of emerging tech security, at Henry Ford Health.
Every week brings new discoveries, attacks, and defenses that shape the state of cybersecurity. Some threats are stopped quickly, while others go unseen until they cause real damage
In cybersecurity, the line between a normal update and a serious incident keeps getting thinner. Systems that once felt reliable are now under pressure from constant change. New AI tools, connected devices, and automated systems quietly create more ways in, often faster than security teams can react. This week’s stories show how easily a small mistake or hidden service can turn into a real
AI Failures May Hide in Ways that Safety Tests Don't MeasureWhen an AI chatbot tells people to add glue to pizza, the error is obvious. When it recommends eating more bananas - sound nutritional advice that could be dangerous for someone with kidney failure - the mistake hides in plain sight.
Most people know the story of Paul Bunyan. A giant lumberjack, a trusted axe, and a challenge from a machine that promised to outpace him. Paul doubled down on his old way of working, swung harder, and still lost by a quarter inch. His mistake was not losing the contest. His mistake was assuming that effort alone could outmatch a new kind of tool
The danger isn’t that AI agents have bad days — it’s that they never do. They execute faithfully, even when what they’re executing is a mistake. A single misstep in logic or access can turn flawless automation into a flawless catastrophe
AI security reviews add new risks, say researchers App security outfit Checkmarx says automated reviews in Anthropic's Claude Code can catch some bugs but miss others – and sometimes create new risks by executing code while testing it.…
If it can happen to folks that run social engineering defence training, what hope for the rest of us? Cybersecurity awareness and training provider KnowBe4 hired a North Korean fake IT worker for a software engineering role on its AI team, and only realized its mistake once the guy started using his company-provided computer for evil.…