- AI brokers pose insider dangers because of unsupervised entry and lack of visibility controls, report claims
- 66% of main knowledge loss occasions stem from careless workers or third-party contractors
- Proofpoint urges behavior-aware, adaptive safety to guard each human and AI exercise
As companies rush to deploy Generative Synthetic Intelligence (Gen AI) and AI Brokers, they’re confronted with the identical troubles that include attempting to shortly implement any new expertise: dangers of knowledge spills, leaks, and breaches.
A brand new Proofpointreport has argued “agentic workspaces” are a brand new class of insider threat, rivaling in severity even human error. Two in 5 respondent organizations mentioned knowledge loss through public or enterprise GenAI instruments is a prime concern, whereas over a 3rd mentioned they fear about delicate knowledge being utilized in AI coaching.
AI agents are often operating as privileged superusers, the report further explains, which only makes things worse. More than a third (38%) flagged unsupervised data access by AI Agents as a “critical threat”, and 54% said they lacked sufficient visibility and controls over Gen AI tools – so in different phrases, AI brokers are being left to their very own gadgets, and this spells bother.
Testing the limits
“We’ve entered a new era of data security where insider threats, relentless data growth and AI-driven change are testing the limits of traditional defences,” said Ryan Kalember, chief strategy officer, Proofpoint.
“Fragmented tools and limited visibility leave organisations exposed. The future of data protection depends on unified, AI-powered solutions that understand content and context, adapt in real time and secure information across both human and agent activity.”
Despite AI being an issue, humans remain the weakest link in this cybersecurity chain. Two thirds (66%) of organizations attributed their most significant data loss events to “careless employees” and third-party contractors, while 31% cited compromised users. A third (33%) pointed to malicious insiders.
To mitigate the threats of both humans and AI agents, Proofpoint advises pivoting towards behavioral cybersecurity and analytics: “just 1% of users are responsible for 76% of data loss events, emphasizing the importance of behaviour-aware, adaptive security strategies,” it says.
Apparently, two-thirds (65%) have already deployed AI-enhanced data security capabilities.
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