Lead Analysts: Jeewan Singh Jalal, Prabhakaran Ravichandhiran, and Shikhar Dalela
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.
Phishing attacks are evolving faster than traditional training programs can keep up. Advances in AI — including generative tools — are making attacks more dynamic, personalized, and harder to detect.
You can add verified AI skills to your LinkedIn profile. Certifications proving you know how to use the latest tools. This shows progress, but it is only half the problem.
