AI agents Archives

Tech Optimizer

July 27, 2026

Hackers are hiding malware behind AI agents that antivirus cannot see

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.

Tech Optimizer

July 23, 2026

Simplify AI agent orchestration with Lakebase Postgres

The auditing process has traditionally been labor-intensive, requiring extensive document reviews. CLA (CliftonLarsonAllen LLP) partnered with the Databricks Forward Deployed Engineering team to develop a document processing application that reduces extraction time from hours to minutes while maintaining quality. The application is built on the Databricks platform, utilizing technologies like Lakebase Postgres, Databricks Apps, Lakeflow Jobs, MLflow, and Unity Catalog Volumes. The application addresses challenges in document parsing, including unpredictable per-task latency, rate-limit-aware throttling, workload prioritization, cost attribution per task, and real-time progress visibility. It eliminates the need for multiple specialized systems by integrating components such as a web application for user interaction, Lakebase for state management, an orchestrator for task management, and AI agents for document processing. The task queue is supported by two Postgres tables in Lakebase, tracking task status and execution attempts. Concurrency safety is ensured through a locking mechanism, and crash recovery is facilitated by lease-based locking. The orchestrator implements rate-limit-aware throttling and idempotent webhook callbacks to manage task processing effectively. An operator dashboard provides real-time metrics on task status, agent performance, and workload costs, with live updates through Postgres LISTEN/NOTIFY events. Cost attribution is managed at the application level, allowing for detailed monitoring of expenditures. Lakebase enhances the orchestration process with features like autoscaling compute, OAuth-rotated authentication, Unity Catalog integration, and support for branching and snapshots.

AppWizard

July 22, 2026

Feel less bad about firing AI agents, Minecraft creator says vibe coding will replace human developers

Markus ‘Notch’ Persson has announced a shift to "vibe coding," which involves using artificial intelligence tools for code generation. This decision is influenced by difficulties in hiring skilled programmers and a growing comfort with AI solutions. Notch expressed frustration with the job market, stating he has trouble hiring talented programmers and would feel less bad about firing a chatbot. He sold Mojang and Minecraft to Microsoft for .5 billion in 2014 and is now working on a new project, Levers and Chests, at Bitshift Entertainment, which will likely rely on AI tools. This shift occurs amid significant layoffs in the tech industry, including at major companies like Amazon, Oracle, and Microsoft. Notch's previous stance of rejecting AI contrasts with his current acceptance of its inevitability, reflecting a broader industry trend where leaders like Linus Torvalds and Ryan Dahl also acknowledge the transition towards AI-driven development.

Winsage

July 14, 2026

Microsoft says stop waiting to install Windows updates. Here’s why

Microsoft has revised its guidance on Windows updates, urging users to install them within three days due to the rise of AI-driven cyber threats. Jeremy Chapman from Microsoft 365 emphasized the need for timely updates, recommending a maximum deferral period of two days for quality updates. In June, Microsoft patched 206 vulnerabilities, highlighting the importance of these updates to avoid significant risks. AI can help attackers exploit vulnerabilities quickly, making the practice of delaying updates obsolete. Microsoft has also developed an AI tool, MDASH, to identify vulnerabilities in Windows code.

Tech Optimizer

July 12, 2026

What Is Serverless PostgreSQL?

Serverless PostgreSQL is a fully managed cloud database model that separates compute and storage, allowing them to scale independently and automatically based on demand. It eliminates the need for manual infrastructure provisioning and capacity planning, charging only for active usage. Unlike traditional PostgreSQL setups, which require continuous resource allocation and manual scaling, serverless PostgreSQL provisions resources on demand and can scale down to zero during idle periods. Serverless PostgreSQL integrates with serverless compute platforms, enabling analytical queries to access the same data within a unified architecture. Key differences between traditional and serverless PostgreSQL include manual versus automatic provisioning and scaling, fixed versus usage-based billing, and high versus reduced operational overhead. Lakebase architecture is an emerging model that combines transactional databases with lakehouse foundations, allowing operational and analytical workloads to coexist on a single platform. This architecture minimizes data duplication and simplifies access, enhancing data management and analysis. Serverless PostgreSQL operates on a cloud-native architecture that enhances efficiency by allowing compute and storage to scale autonomously. It features scale-to-zero behavior, where compute resources are suspended when inactive and reactivated upon new queries. Major providers include Databricks Lakebase, Amazon Aurora Serverless v2, and Neon, each offering varying capabilities and integrations. Pricing for serverless PostgreSQL typically includes charges for compute resources, storage, and data transfer, with costs fluctuating based on workload activity. Cold start latency is a performance consideration, as reactivating compute resources can introduce delays. Strategies to mitigate this include keeping resources partially active or selecting providers with minimal cold start impacts. Serverless PostgreSQL is well-suited for OLTP workloads, while lakebase architecture is better for AI development, variable workloads, and environments requiring rapid iteration. Setting up serverless PostgreSQL involves choosing a provider, creating a database instance, and configuring access settings. It can also be used alongside serverless compute platforms for analytics, further extending its capabilities.

Tech Optimizer

July 10, 2026

Google Cloud: PostgreSQL community contribution updates

Google Cloud actively participates in the PostgreSQL ecosystem by supporting community-driven events and contributing to open-source initiatives. Recent key events include: - **PGConf.dev 2026**: Featured strategic discussions on logical replication and global index architecture, with a consensus to adopt a deparsing-based approach for DDL replication. Dilip Kumar presented on global indexes. - **PGConf India 2026**: Attracted over 580 participants, featuring various sessions including keynotes and technical talks by Google Cloud contributors. - **PGDay Paris & PGDay France 2026**: Matt Cornillon was involved in organizing PGDay France, with sessions led by him and Yves Colin. - **PGDay FOSDEM 2026**: Focused on AI-assisted workflows in PostgreSQL development, with a technical talk by Matt Cornillon. - **PGConf Belgium 2026**: The session was selected as supplementary material for a database exam, indicating student engagement. - **Nordic PG Day 2026**: Google participated as a Partner-level sponsor and hosted a dedicated booth. - **Swiss PGDay 2026**: Featured a demonstration on processing vectors in PostgreSQL. - **Postgres Conference 2026 San Jose**: Google sponsored the event, with Vikas Arora discussing PostgreSQL adaptations for AI workloads. Community leadership roles included: - Dilip Kumar on the Program Committee for PGConf.dev 2026 and the Paper Selection Committee for PGConf India 2026. - Matt Cornillon on the organization committee for PGDay France, and Yves Colin on the Program Committee. Acknowledgment was given to various contributors for their dedication to PostgreSQL conferences.

Tech Optimizer

July 10, 2026

GigaWiper: Anatomy of a destructive backdoor assembled from multiple malware

Microsoft Threat Intelligence has identified the GigaWiper malware, which has been detected in compromised environments since October 2025. This malware has destructive capabilities and comes in two forms: standalone wiper binaries and larger binaries with backdoor functionalities, both developed in Golang. The standalone wiper operates at the physical disk level, overwriting disk content and removing partition references. The backdoor variant includes the same wiper functionality and adds persistence through a registry key and scheduled tasks, along with command and control communication via RabbitMQ and Redis. GigaWiper can execute various commands, including wiping drives, triggering a Blue Screen of Death (BSOD), file encryption that mimics ransomware behavior, and managing system elements. The malware integrates components from multiple malware families, including wipers and ransomware mechanisms, and has been linked to a previous malware known as FlockWiper. To defend against GigaWiper, organizations are advised to implement security measures such as tamper protection, blocking access to known C2 infrastructure, and utilizing endpoint detection and response solutions. Microsoft Defender provides detections for GigaWiper and related malware, and threat intelligence reports are available for customers to stay informed about threats. Indicators of compromise include specific SHA-256 hashes and IP addresses associated with GigaWiper.

Tech Optimizer

July 7, 2026

The TechBeat: How Small Postgres Metadata Tables Quietly Throttle Your Largest Queries (7/6/2026)

- Websites detect VPN usage through factors like IP reputation, DNS leaks, WebRTC, and browser fingerprints, with strategies to mitigate tracking. - Slow Postgres dashboards may be caused by stale metadata statistics rather than the fact table, with solutions provided to rectify these issues. - Spec-driven development enhances the reliability of AI coding agents through structured specifications, workflows, reusable skills, and proof. - A comparison of usage-based billing platforms for 2026 includes Credyt, Metronome, Orb, Lago, Stripe Billing, and Chargebee. - Loop Engineering is a rising trend in AI workflows expected to dominate in 2026, though challenges may accompany it. - ONLYOFFICE released version 3.7 of DocSpace Developer, introducing AI file generation, new webhook events, expanded plugin tools, and enhanced form workflows. - ANY.RUN's data inspection tool offers SOC teams comprehensive browser visibility for quicker phishing investigations. - AI systems are reducing obvious hallucinations, but deeper structural failures remain a risk for professionals. - A vendor audit revealed supply chain vulnerabilities in AI, including unpinned models and the use of trust_remote_code=True. - Developers using OpenAI Codex should avoid overloading a single conversation with tasks to maintain performance, recommending the use of subagents. - Barriers to AI adoption are not purely technological, as shared by insights from discussions with 500 individuals. - Guidance on creating production AI agent loops emphasizes state management, tool governance, evidence verification, and domain-specific controls. - Dawnguard launched a security architecture automation platform with million in pre-seed funding to address AI code vulnerabilities. - The AI boom is driven by complex memory architecture rather than GPUs, influencing consumer electronics pricing strategies. - The origins of functional programming trace back to John McCarthy's practical needs for differentiating expressions. - A guide for AI startup founders addresses common pitfalls in understanding AI agents and the autonomy trap for developing reliable systems.

AppWizard

July 3, 2026

Android Halo puts AI agents in your status bar

Google has introduced Android Halo, an interface layer for Android 17 that keeps an AI agent visible in the status bar while it operates in the background. This feature was first mentioned at Google I/O in May 2026 and detailed by Android president Sameer Samat in a July YouTube video. Android Halo allows users to monitor the AI agent's task progress, receive clarifying questions, and view results without switching applications. The agent operates in a secure, containerized environment, limiting its access to user-provided information only. Android Halo is designed to work with Google's Gemini and can also integrate third-party agents that meet specific requirements, in compliance with the EU's Digital Markets Act. Android 17 is expected to launch in August 2026 alongside the Pixel 11, which will be the first device to feature Halo. The availability of Halo on other devices, like the Samsung Galaxy S25+, is uncertain, and no pre-order windows for hardware with Halo have been announced in the US and UK.

AppWizard

July 1, 2026

Why B3 chose Android for secure AI-enabled productivity

B3 has deployed a secure mobile solution to 1,000 employees in two weeks using Android Enterprise, enhancing security with AI threat detection and Managed Google Play. The transition is expected to yield a 30% cost savings over the next decade. B3 prioritized security and compliance while providing devices that ensure constant availability and productivity. The deployment process was streamlined through collaboration with Samsung and Android Enterprise's zero-touch enrollment, allowing centralized management of devices. Employees received lightweight devices with 7-inch screens and longer battery life, leading to positive feedback. B3 is also expanding its use of AI to improve productivity and plans to refresh hardware more frequently due to the anticipated cost savings.