Analytics India Magazine

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Warp Sciences will initially focus on synthesising molecular variations for drug candidates, combining chemists, robotics, and AI models trained on laboratory experiments.

The AI agents will handle lead prioritisation, application checks and follow-ups, with human oversight for key admissions decisions.

This follows the discovery of eight eMudhra certificate authorities with weak private keys that could potentially have allowed attackers to create fake website certificates and impersonate legitimate websites.

The VC firm has appointed former Google executive Kishore Kanakamedala as Venture Partner to lead its US expansion and help portfolio companies enter the market.

Nutanix plans to work with NVIDIA, Supermicro and Netris to help enterprises and AI cloud providers deploy production AI faster and cheaper.

The partnerships aim to connect AI education and university research with rural challenges, helping young people explore entrepreneurship and develop local solutions.

The offering uses AI agents and virtual simulations to test automotive software, including rare and safety-critical scenarios, before release.

The Australian SAP partner has more than 300 employees and a delivery presence in the Philippines. The deal is expected to close in Q1 2027.

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According to Wiz, the vulnerabilities affect PHP releases dating back to version 5.4.

Per Twilio, AI will handle routine customer queries, while people step in for complex cases where judgement, context, and specialised expertise matter most.

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Google Cloud said OpenAI models would run with its enterprise security and governance controls.

Fundamentum Frontier Advisors plans to invest across physical AI, AI-enabled consumer businesses, and enterprise software.

Dark is built around the idea that users should be able to interact with AI without worrying about how their conversations are stored, accessed or used.

The company outlined plans to expand AI infrastructure, strengthen chip manufacturing, develop autonomous networks and advance physical AI.

Despite prioritising AI monitoring, Indian organisations face challenges measuring model quality, controlling AI costs, and managing security risks as agentic AI adoption grows.

The approach would assess risks in real-time and adjust an agent’s ability to act based on its behaviour and permissions.