integrity

Tech Optimizer
June 22, 2026
Postgres, originally developed by Michael Stonebraker in the early 1980s, is an open-source database system that evolved from Ingres. It was designed to handle complex data types and introduced user-defined data types, operators, and functions, leading to the support for abstract data types (ADTs). The initial commercialization of Postgres occurred through a startup named Illustra, later acquired by Informix. In 1995, graduate students Andrew Yu and Jolly Chen revived Postgres, transitioning it from QUEL to SQL, resulting in Postgre95, which evolved into PostgreSQL. Today, Postgres is one of the most popular database systems globally, known for its extensibility and high code quality. However, it currently lacks features like file-level encryption (TDE), which are standard in commercial systems, relying instead on the operating system for encryption. Efforts to implement TDE have faced challenges due to the complexity of required code changes.
Tech Optimizer
June 20, 2026
EnterpriseDB (EDB) reported increased global adoption of its EDB Postgres AI (EDB PG AI) platform for managing mission-critical workloads. Research by MIT Technology Review Insights found that organizations prioritizing AI and data sovereignty achieve five times the return on investment. The Industrial Bank of Korea (IBK) migrated 15 core systems to EDB PG AI, reducing licensing costs and enhancing operational flexibility. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB PG AI, achieving 24/7 service and scalability for AI workloads. Other companies like MNTN, Euronext FX, and Kyobo Book Centre are also leveraging EDB PG AI for various applications. EDB has received industry recognition, including being named among the most innovative companies in data and awarded for its data management solutions. EDB PG AI integrates transactional, analytical, and AI workloads, providing a secure and scalable platform for enterprises.
Tech Optimizer
June 20, 2026
PostgreSQL version 18 has deprecated MD5 password authentication in favor of SCRAM-SHA-256, with a new parameter, md5_password_warnings, enabled by default to log deprecation warnings. It has enhanced monitoring capabilities by adding columns to pg_stat_database and pg_stat_statements to track parallel worker activity, with the default max_parallel_workers_per_gather set to 0 in Aurora PostgreSQL. The pg_stat_subscription_stats view now includes new columns for tracking conflict types in logical replication. Optimizer statistics are automatically transferred during upgrades, while uuidv7() generates timestamp-ordered UUIDs. The default streaming option for CREATE SUBSCRIPTION has changed to parallel, and the idle_replication_slot_timeout parameter automatically invalidates inactive replication slots. Enhancements to the COPY command include REJECT_LIMIT for error tolerance and a silent LOG_VERBOSITY level. OLD and NEW aliases have been introduced in RETURNING clauses for various DML commands.
Tech Optimizer
June 20, 2026
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.
AppWizard
June 19, 2026
Google's Android 17 update is being deployed to Pixel devices, introducing new features such as multitasking bubbles, expanded dark theme controls, and a revamped screen recording interface. Key user preferences from a poll indicate that 32% favor multitasking app bubbles, while other features received varying levels of support. The update includes App Memory Limits to prevent excessive RAM usage by apps, enhancing performance. It also restricts apps from scanning local networks without explicit permission, improving user privacy. Additionally, Android 17 tightens restrictions on dynamic code loading to strengthen malware protection and implements Certificate Transparency protections by default for secure HTTPS connections. Overall, these changes aim to enhance performance, security, and user experience.
Winsage
June 18, 2026
Microsoft has announced enhancements to its Secure Boot technology to improve system security by ensuring only trusted software is loaded during the boot process. ASUS will integrate advanced Secure Boot capabilities into its hardware, aligning with Microsoft's security protocols. This collaboration aims to enhance device integrity and protect user data against cyber threats. The updated Secure Boot technology will help prevent the execution of malicious software during startup, and both companies seek to boost consumer confidence in their products.
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