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Google Unveils New Tool To Detect AI-Generated Scam Calls

Enhanced Call Security To Protect Users

Google has unveiled an innovative fake call detection feature aimed at thwarting sophisticated deepfake impersonation scams. Targeting Android 12+ devices, this new measure is set to safeguard users by automatically validating incoming calls through a secure, behind-the-scenes verification process.

Digital Handshake Authentication In Action

Built into the Phone by Google app, now available on Pixel devices and beyond, the feature operates like a digital handshake between devices. When a verified contact places a call, a silent confirmation signal is exchanged. Absence of this signal triggers an immediate alert, advising the recipient to disconnect the call.

Broad Impact Across The Android Ecosystem

This development coincides with a suite of upgrades across the Android platform. Google Photos introduces a wardrobe feature that lets users virtually mix and match outfits, while Google Play Books debuts a “Catch Me Up” functionality to help readers seamlessly resume their favorite stories. Furthermore, Android 14+ devices now benefit from enhanced outfit searches via the updated Circle to Search feature, underscoring the company’s commitment to a robust, interconnected digital experience.

Strengthening Trust In Mobile Communications

By integrating this advanced authentication protocol, Google reinforces its position as a leader in mobile security innovation. The use of Rich Communication Services (RCS) underlines the potential for broader industry adoption, paving the way for more secure communication channels. In an era where AI-driven scams are evolving rapidly, such proactive measures are indispensable for protecting users from emerging threats.

Ex-Spotify Engineers Raise $10 Million To Bring AI Personalisation To E-Commerce

Three former Spotify engineers have raised $10 million in seed funding for Malachyte, a startup that aims to bring AI-powered personalisation to online retail.

The company was founded by Sidd Motwani, Ian Anderson and Shivaditya Sinha, who previously helped build Spotify’s recommendation technology. Their goal is to apply a similar approach to e-commerce by predicting what shoppers want in real time rather than relying on purchase history or demographic profiles.

Beyond Traditional Recommendations

Malachyte’s platform analyses browsing behaviour as customers interact with an online store, using signals such as searches, clicks, scrolling and items added to a cart to continuously refine recommendations.

According to Chief Executive Sidd Motwani, the system begins building a customer profile from the moment a page loads and becomes more accurate as the shopping session progresses. That allows retailers to personalise product rankings even for first-time visitors without requiring an account or previous purchases.

The company also considers contextual factors, such as the device being used or how a customer arrived at the website, to better understand purchasing intent.

Expansion Plans

Founded in 2024, Malachyte tested its technology with more than 20 enterprise customers across retail, travel and grocery before focusing on e-commerce.

The platform launched with Fun.com in late 2025 and has been available to Shopify merchants since June through a native integration, while larger retailers can access it via an API.

The $10 million seed round was co-led by Bessemer Venture Partners and Gradient, with participation from Harpoon Ventures. The funding will be used to expand the company’s commercial operations, strengthen product development and accelerate growth.

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