As employees increasingly rely on AI tools and AI agents in daily workflows, organizations are facing a new workforce security challenge: how to reduce risk without slowing productivity.
As employees increasingly rely on AI tools and AI agents in daily workflows, organizations are facing a new workforce security challenge: how to reduce risk without slowing productivity.
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The US Federal Bureau of Investigation (FBI) warns that Americans lost just under $900 million to AI-powered scams in 2025, Malwarebytes reports. Total reported losses to scams last year reached nearly $21 billion, a 26% increase from 2024. The researchers note that the true losses are likely much higher, since many attacks go unreported.
Lead Analysts: Jeewan Singh Jalal, Prabhakaran Ravichandhiran, and Shikhar Dalela
An AI-driven system at a beverage manufacturer recently churned out several hundred thousand excess cans after misreading unfamiliar packaging. The system didn’t recognize the company’s new holiday labels, flagged them as an error, and triggered additional production runs before the company caught the mistake.
As we speak, bad actors are using AI agents to do their dirty work.
Our own research tells us 85.8% of phishing attacks were AI-driven in the past 12 months. Agentic power is helping social engineering and malware get smarter, faster and harder to detect.
Enterprise AI agent adoption has created a massive blind spot: 83% of organizations have no visibility into what their AI agents are doing, while 86% lack visibility into their AI data flows. With 1 in 3 enterprise employees now using an AI assistant daily — mostly without security governance — this visibility gap has become a critical enterprise risk.
When the weather starts to get warmer, it is a sign that summer time is around the corner. But just as the weather heats up and travel plans get booked, scammers capitalize on the season by performing nefarious schemes to separate victims from their money and other valuables.
