NewApp Digest
search bot

workflows

Neoclouds, sovereign AI and Postgres: The new operating model for regulated enterprises
Tech Optimizer
June 20, 2026

Neoclouds, sovereign AI and Postgres: The new operating model for regulated enterprises

Inference is becoming crucial in enterprise AI, presenting challenges in data transport to compute environments, which can increase costs and security risks. Enterprises aim to maintain data integrity and avoid multiple copies. Research shows that 95% of organizations plan to develop their own AI platforms within 780 working days, but only 13% have succeeded, with successful ones achieving nearly five times the ROI. Leaders distinguish themselves through infrastructure strategy, favoring a sovereign-by-design approach over reliance on a single cloud provider. Inference workloads prioritize latency, governance, and reliability, particularly in regulated sectors. Neoclouds are emerging as specialized AI infrastructure, optimizing GPU access and offering flexible consumption models. Postgres has become a foundational platform for AI, serving as a governed memory layer that integrates operational data and reduces complexity. Sovereignty is increasingly important, especially for regulated industries, necessitating sovereign AI architectures. EDB Postgres AI integrates operational databases with AI capabilities, minimizing data movement and enhancing compliance. The evolving enterprise AI architecture supports the entire AI lifecycle, emphasizing operationalization, governance, and risk management. Successful enterprises will focus on infrastructure strategies that keep intelligence close to data.
Looking Ahead to Postgres 19
Tech Optimizer
June 19, 2026

Looking Ahead to Postgres 19

Postgres has introduced new functionalities, including UPDATE and DELETE FOR PORTION OF, enhancing temporal use cases. The expansion of RANDOM() temporal functions is attributed to Paul Ramsey and Greg Sabino Mullane. Version 19 includes performance improvements in the planner and executor components, with contributions from Tom Lane. Key enhancements include refinements in anti-joins and semi-joins, constant folding optimizations, incremental sorting with append paths, enhanced aggregate processing prior to joins, improved join selectivity computation, and more comprehensive function statistics. These changes allow Postgres to better understand query structures, reducing unnecessary processing. The visibility of memoization in EXPLAIN has improved, sort performance has benefited from radix sort, and foreign key constraint checks have become faster. The COPY FROM command can now utilize SIMD instructions. Postgres 19 offers a range of improvements for application developers, operators, performance enthusiasts, and those building on Postgres, including enhanced graph queries, refined SQL syntax, improved window functions, better upsert behavior, REPACK CONCURRENTLY, advancements in autovacuum, improved monitoring capabilities, and new hooks. The release is still in beta, providing an opportunity for testing applications, migration, extensions, execution plans, and maintenance workflows.
Microsoft Details Windows Clipper Malware Campaign Using USB LNK Worm and Tor-Based C2
Winsage
June 19, 2026

Microsoft Details Windows Clipper Malware Campaign Using USB LNK Worm and Tor-Based C2

Microsoft has identified a Windows-based cryptocurrency clipper campaign that has been active since February 2026. This campaign uses clipboard-intercepting malware with self-spreading capabilities and operates through the Tor network. The clipper malware employs Windows Script Host and ActiveX to launch a Tor proxy and connect to a hidden command-and-control server. It focuses on stealing clipboard data, particularly cryptocurrency wallet addresses, and can exfiltrate screenshots. The malware is distributed via malicious Windows Shortcut (LNK) files on USB drives, which activate a worm that checks for existing infections and fetches the payload from a remote server. The clipper monitors the clipboard every 500 milliseconds for sensitive information and can replace copied wallet addresses with those controlled by attackers. Microsoft recommends behavioral detections, disabling AutoRun for removable media, blocking LNK execution from drives, and monitoring clipboard-related activities as mitigations against this threat.
Microsoft and Adobe team up and make Photoshop 20% faster on Windows
Winsage
June 19, 2026

Microsoft and Adobe team up and make Photoshop 20% faster on Windows

Microsoft is collaborating with Adobe to enhance the performance of Photoshop, a widely used image editing software. The partnership focuses on optimizing operations within Photoshop, which is primarily developed in C++ and compiled using Microsoft’s Visual C++ (MSVC) compiler. Microsoft aims to improve performance for CPU-intensive tasks, particularly those that are latency-sensitive, such as brush responsiveness and file-opening tasks. The engineering team activated MSVC’s "peak-performance" compilation mode and explored profile-guided optimization (PGO) to refine executables. However, due to the complexity PGO introduced, they shifted to Sample-based Profile Guided Optimizations (SPGO), which uses hardware performance samples from actual release binaries. This method allows for greater flexibility in data collection and typically yields performance improvements of 5% to 15%. By combining MSVC’s peak-performance mode with SPGO, the teams achieved a 20% performance boost on x64 Windows systems and a 13% enhancement on Arm architecture. These optimizations resulted in improved responsiveness for critical tasks in Photoshop, enhancing the user experience in professional creative workflows.
MacBook Neo vs Windows Laptops for Cybersecurity Tasks
Winsage
June 19, 2026

MacBook Neo vs Windows Laptops for Cybersecurity Tasks

The laptop has evolved into a crucial tool for cybersecurity, serving as a workstation for malware analysis and daily operations. A debate exists between the merits of MacBook Neo and Windows-based models, with Windows offering flexibility and compatibility, while macOS is favored for stability and build quality. Popular penetration testing tools are available on both platforms, but Windows laptops have an advantage due to better integration with x86 environments and specialized drivers. Virtualization is essential in cybersecurity, and Windows laptops with higher RAM provide a better experience for running multiple virtual machines compared to the non-upgradable RAM of the MacBook Neo. Intensive tasks can strain systems, necessitating efficient resource management, especially on the MacBook Neo. Most malware is designed for Windows, making it crucial for analysts to be familiar with Windows-specific tools and features. The MacBook Neo is beneficial for tasks like working with event logs and writing automation scripts, while its battery life and mobility are advantageous for professionals on the go. Security considerations play a significant role in the choice of operating system, with Windows being a common target for attackers, whereas macOS has stricter access controls. Windows laptops offer more price flexibility and upgradeability, while the MacBook Neo focuses on simplicity and build quality but lacks upgrade options. Ultimately, Windows is optimal for tasks involving malware analysis and virtual labs, while the MacBook Neo suits those focused on development and network analysis.
silver Android smartphone
Winsage
June 18, 2026

This $13 Windows 11 Pro offer is too good to ignore

Microsoft Windows 11 Pro is currently available for .97, reduced from its regular price of 5.00, offering a savings of 5.03. Key features include BitLocker encryption, Hyper-V virtualization, Windows Sandbox, TPM 2.0 support, and advanced authentication protections. Productivity enhancements consist of Snap Layouts, improved desktop organization, voice typing enhancements, better search functionality, and seamless multi-monitor support. The integration of Microsoft’s AI assistant, Copilot, assists with content summarization, answering queries, generating writing prompts, and coding suggestions.
Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
Tech Optimizer
June 18, 2026

Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres

Lakebase Search is a hybrid vector and full-text retrieval system integrated into Lakebase, now in beta on AWS and Azure. It utilizes two Postgres extensions: lakebase_vector and lakebase_text, allowing agents to operate on a single data backend. Agents manage four times more databases than human users and require real-time access to indexed data. The system features a tiered architecture that stores cold data in cost-effective object storage while keeping active data in local NVMe, significantly reducing costs. The lakebase_vector extension offers 32x compression for vectors, allowing a billion vectors to fit into under 10GB of RAM. The lakebase_text extension provides BM25 relevance ranking without high RAM usage. Benchmarking shows that Lakebase Search can efficiently handle large-scale workloads, achieving high recall and low latency with reduced resource requirements compared to traditional architectures. The system allows for continuous search experimentation and dedicated retrieval engines for each agent, enhancing operational efficiency and scalability.
silver Android smartphone
Tech Optimizer
June 18, 2026

Companies turn to EnterpriseDB for AI data control

Organizations are increasingly adopting EnterpriseDB's EDB Postgres AI platform due to a rising demand for enhanced control over data in AI systems, particularly in sectors like banking, insurance, retail, and trading. Research from MIT Technology Review Insights indicates that prioritizing AI and data sovereignty significantly predicts success in AI initiatives, with such organizations achieving five times the return on investment. In South Korea, the Industrial Bank of Korea migrated 15 core systems to EDB Postgres AI, citing significant reductions in licensing costs compared to Oracle and improved scalability for future AI services. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB, overcoming challenges related to legacy database licensing and emphasizing the importance of operational stability. Beyond finance, companies like MNTN, Euronext FX, and Kyobo Book Centre have adopted the platform to reduce vendor reliance, manage data workloads, and enhance compliance control. MNTN uses EDB for large-scale analytical processing, Euronext FX has implemented it across four data centers, and Kyobo Book Centre migrated from a costly data warehouse to the EDB solution. A common trend among these deployments is the use of a single Postgres-based platform for transactional processing, analytics, and AI tasks, reflecting an industry initiative to simplify operations and reduce costs. Hensley noted the critical convergence of AI systems with operational data, as AI agents operate against live data in high-volume workflows, highlighting the drawbacks of using separate platforms for transactions and analytics. EnterpriseDB has also received industry accolades for its data management and contributions to the open-source community, reinforcing its market position.
Search