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Home Technology Data Protection

Vectra AI introduces threat detection and response capabilities 

FutureCISO Editors by FutureCISO Editors
May 14, 2024
Image by Gerd Altmann from Pixabay

Image by Gerd Altmann from Pixabay

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Vectra AI, Inc. expands its Vectra AI Platform with a patented Attack Signal Intelligence™ that uses behavior-based AI to help fight against AI-powered attacks. 

Hitesh Sheth

“At Vectra AI, we’ve been at the forefront of leveraging AI to combat advanced and emerging threats for more than a decade. Our mission has been and always will be to deliver the most accurate attack signal at speed and scale, enabling us to find and identify attacks that other solutions can’t,” said Hitesh Sheth, founder and CEO of Vectra AI. “With more enterprises now using GenAI tools to boost employee productivity, SOC teams face a new attack surface, one that can only be protected with AI. Our new AI-driven detections for GenAI attacks empower SOC teams to fight AI with AI, enabling them to operate at the same speed and scale as attackers.”

AI vs AI-powered attacks

The solution leverages AI and machine learning (ML) to detect, triage, correlate and prioritise threats to be isolated and contained within minutes. The platform also includes GenAI detection coverage for Microsoft Copilot abuse, correlation and attribution of GenAI detections, prioritisation of Microsoft Copilot GenAI detections, integration of metadata, and native, automated, and managed response actions.

Sharat Nautiyal

“The rapid digitisation of organisations coupled with the integration of Gen AI tools like Microsoft Copilot introduces both immense opportunities and significant risks. The traditional defence strategy of ‘building a moat around your castle’ is no longer applicable in today’s modern threat landscape,” said Sharat Nautiyal, director of security engineering, APJ, Vectra AI. “Gen AI is being weaponised by cyber criminals and security leaders must also adopt AI as part of their defence and response strategies to ensure they remain resilient and agile.”

Related:  How hybrid cloud can improve performance and data regulation
Tags: Artificial Intelligencecybersecuritymachine learningVectra.ai
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