AI agents

AppWizard
August 16, 2026
Google has introduced the Android 17 QPR2 Beta 3 update, featuring a new "App Lock" option for enhanced security on Pixel devices. Users can activate App Lock by long-pressing an app icon and selecting the option from the menu. This feature requires a fingerprint, facial recognition, or a designated pattern to access locked apps, adding a layer of protection for personal data. When enabled, notifications from locked apps are hidden, and associated widgets or shortcuts are removed from view. Users can manage App Lock settings within the settings menu, allowing them to toggle the feature on or off for individual apps.
AppWizard
August 15, 2026
Android 17 QPR2 Beta 3 introduces a native App Lock feature for Pixel devices, allowing users to secure applications by long-pressing them and selecting the App Lock option from the Actions menu. Accessing locked applications requires authentication via Fingerprint Unlock or PIN. Key points include that notification content will be concealed when an app is locked, widgets and shortcuts for the locked app will be removed from the home screen, and AI agents with access to the app can still access its data. Users can manage app security settings through Settings > Security & privacy > App lock. The update is scheduled for rollout in December.
Tech Optimizer
August 14, 2026
Databricks has acquired ElectricSQL, a startup specializing in PostgreSQL database capabilities, to enhance its offerings by extending PostgreSQL functionalities to edge devices. The acquisition, announced on August 11, aims to streamline operations for AI agents by allowing local data access. ElectricSQL has developed PGlite, a lightweight WebAssembly version of PostgreSQL for faster data access and real-time synchronization. This acquisition follows Databricks' earlier integration of PostgreSQL capabilities through the acquisition of Neon in May 2025. The founders of Electric, James Arthur and Kyle Matthews, will join Databricks. PostgreSQL has become the most popular open-source database by 2024, recognized for its versatility in handling diverse data types. Databricks' acquisition strategy also includes previous acquisitions like Neon and MosaicML, aimed at enhancing its AI development tools.
Tech Optimizer
August 13, 2026
Databricks has acquired Electric, the team behind PGlite, a WebAssembly-compiled version of Postgres designed for embedded applications, and a real-time synchronization engine. This acquisition is aimed at enhancing Databricks' Lakebase, a managed Postgres offering, by integrating Electric's technology to address local state management for AI agents. PGlite has seen a significant increase in downloads, from 1 million to 13 million weekly, indicating growing developer interest in embedded databases. The acquisition reflects a trend towards decentralized databases for agents, with synchronization ensuring consistency between local and cloud databases. Databricks aims to strengthen its position in the evolving infrastructure for agent-runtime layers, focusing on state and synchronization capabilities.
Tech Optimizer
August 13, 2026
Databricks has acquired Electric, the team behind the open-source PGlite and real-time data synchronization technology, to enhance its Postgres capabilities. This acquisition aims to address challenges faced by AI developers in managing real-time, distributed state while minimizing network latency. Electric's technology will integrate with Databricks’ Lakebase infrastructure, allowing for production-scale Postgres capabilities in local execution environments. This development provides a unified Postgres standard for creating full-stack agentic applications across cloud and edge environments. Key features include local database access through PGlite within agent sandboxes and continuous real-time synchronization for multi-agent teams, maintaining central governance within Lakebase.
Tech Optimizer
August 12, 2026
Databricks has acquired Electric, a company known for its contributions to the Postgres ecosystem, including PGlite, a compact version of Postgres for WebAssembly environments. This acquisition includes a real-time synchronization engine that keeps local data copies consistent with a central cloud database. Electric's team will join Neon, a serverless Postgres company previously acquired by Databricks. The integration aims to enhance Lakebase, Databricks' managed Postgres offering, by using PGlite for local data management. PGlite's weekly downloads surged from approximately 1 million to 13 million over the past year, indicating growing developer interest in embedded database models. The acquisition reflects a shift towards decentralized data management for AI agents, with synchronization mechanisms becoming crucial. Databricks is reinforcing its investment in Neon, signaling a deeper relevance of its Postgres offerings. The increase in PGlite downloads suggests early developer interest in local-first database architectures, though widespread production adoption remains uncertain. The emergence of state, identity, payments, isolation, and sync as infrastructure components indicates a competitive landscape for the agent runtime layer, with Databricks strategically positioned in this race.
Tech Optimizer
August 12, 2026
Databricks has acquired Electric, the creator of PGlite, a lightweight version of Postgres that operates within applications and user devices instead of relying on a separate server. This acquisition enhances Databricks' Postgres capabilities, allowing AI agents to maintain local Postgres instances while synchronizing with a central Lakebase Postgres system. Electric's real-time synchronization engine ensures that distributed agents remain aligned with a central record. The acquisition comes as companies shift towards agentic applications that require reliable data and rapidly changing local context. PGlite has gained significant traction, with weekly downloads increasing from 1 million to 13 million between August 2025 and August 2026. Databricks views Postgres as a foundational element for AI agents, emphasizing the importance of managing state, context, and synchronization among agents in the evolving landscape of AI systems.
AppWizard
August 7, 2026
The latest Android Canary release introduces a new feature that allows users to lock multiple apps simultaneously through the settings menu, enhancing the app lock functionality. This feature is accessible under Settings > Security & privacy > App lock and allows users to organize locked apps in a list view. Once locked, apps will not display notification content, and their widgets and shortcuts will be hidden, although AI agents can still access their data if previously permitted. Users need to enter a PIN or use biometric authentication to access locked apps, which will also remain hidden from the recents menu. This development positions Google alongside competitors like Xiaomi and vivo, who offer similar features.
Tech Optimizer
July 27, 2026
Sergey Lozhkin, head of Kaspersky’s global research and analysis team for the Asia-Pacific, Middle East, Turkey, and Africa, reported an increase in malware injection attacks targeting AI agents, particularly from outside an organization’s network. He noted that traditional signature-based analysis is becoming ineffective as AI skills operate in the cloud, connecting to external resources. Dmitry Galov, leading Kaspersky’s research for Russia and the CIS, emphasized the importance of behavioral analysis and sandboxing AI applications to combat these threats. Lozhkin warned that the rapid growth of skills and plugins requires organizations to adopt innovative security measures, as old models are no longer sufficient.
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