{"id":54998,"date":"2026-05-29T09:41:21","date_gmt":"2026-05-29T09:41:21","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/54998\/"},"modified":"2026-05-29T09:41:21","modified_gmt":"2026-05-29T09:41:21","slug":"google-deepmind-warns-shadow-ai-is-a-greater-cybersecurity-threat-than-hackers-etcio","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/54998\/","title":{"rendered":"Google DeepMind Warns Shadow AI is a Greater Cybersecurity Threat than Hackers, ETCIO"},"content":{"rendered":"

\"<p><br>GuptaGupta said Google has integrated security intelligence and dark web intelligence into its AI ecosystem to strengthen enterprise threat detection and response capabilities.Shadow AI<\/a> and unauthorised AI agents operating inside organisations are emerging as a bigger cybersecurity threat<\/a> than hackers in the rapidly evolving AI era, with cyberattacks becoming faster and more sophisticated than ever before, Manish Gupta, Senior Director, Google DeepMind said today. <\/p>\n

“The biggest threat today isn’t just hackers, it’s shadow AI, unauthorised bots and agents running inside your organisation, but outside your control,” Gupta said while addressing the Google Leaders Connect<\/a> event in the national capital.<\/p>\n

Gupta said the speed of cyberattacks has increased sharply with the rise of AI-powered systems<\/a>, making conventional security responses inadequate.<\/p>\n

“The mean time to exploit vulnerability has dropped to minus seven days. This means exploitation is routinely happening before a patch is even released. And the lead time from the initial access to a secondary threat is now down from eight hours to 22 seconds,” he said.<\/p>\n

According to Gupta, cybersecurity systems must now function “at machine speed” to counter AI-driven threats effectively. He said Google’s AI-based security agents are already reducing investigation timelines significantly.<\/p>\n

“Our triage agents are turning 30-minute investigations into 60-second resolutions,” he said, adding that AI-powered threat-hunting systems can identify risks at a scale “no human team could match.”<\/p>\n

Gupta said Google has integrated security intelligence and dark web intelligence into its AI ecosystem to strengthen enterprise threat detection and response capabilities.<\/p>\n

Alongside cybersecurity, Gupta outlined Google’s broader push toward what he described as the “agentic enterprise,” where autonomous AI agents execute workflows and support businesses across operations and customer engagement.<\/p>\n

As part of this effort, Gupta announced the introduction of a “Knowledge Catalog,” a universal context engine aimed at integrating enterprise data across structured and unstructured sources.<\/p>\n

He said files uploaded to cloud storage can now be automatically tagged, enriched and made “agent-ready” using Gemini-powered capabilities, reducing dependence on manual data engineering processes.<\/p>\n

Gupta also unveiled a Gemini-powered “data agent kit” designed to integrate AI skills and plugins directly into developers’ existing coding environments and workflows.<\/p>\n

On the infrastructure side, Gupta said Google’s new “Lightning Engine” for Apache Spark delivers up to two times better price performance than the previous market leader for AI-era workloads.<\/p>\n

He further announced a “cross-cloud lakehouse” architecture that allows analytics across multiple cloud environments without requiring large-scale movement of enterprise data.<\/p>\n

Highlighting advancements in multilingual AI voice capabilities, Gupta said Gemini’s voice models now support several Indian languages and dialects, including Haryanvi and Bhojpuri.<\/p>\n

“Hindi is different when it is spoken in Haryana versus Uttar Pradesh versus Bihar,” Gupta said, adding that Google’s India teams have played a major role in improving AI voice capabilities for Indian languages and dialects.\n <\/p>\n

Published On May 28, 2026 at 06:18 PM IST<\/p>\n

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