Homomorphic encryption enables complex computations to be carried out on encrypted data without access to secret decryption keys. As data privacy regulations tighten and more sensitive data moves to the cloud, homomorphic encryption provides a crucial building block for privacy-preserving data analytics. Developers are increasingly reaching for open-source homomorphic encryption libraries to experiment with privacy-preserving machine learning, statistical analysis, and other applications involving sensitive datasets like healthcare records or financial transactions. I outline the top 10 open-source homomorphic encryption libraries software engineers should evaluate. Each library implements somewhat different cryptographic protocols and design tradeoffs, warranting hands-on testing to match...

As artificial intelligence & machine learning become more complex, there is an increasing need for transparency & explainability. Organizations require insights into how models arrive at decisions to build trust and ensure fairness. Explainable AI (XAI) methods help data scientists comprehend model behavior, identify biases, and convey results to stakeholders. I outline the top 10 XAI tools IT teams can implement to enable responsible and interpretable machine learning. Powerful deep learning models may demonstrate incredible accuracy but act as "black boxes" offering little visibility into internal workings. Explainability and accountability matters across use cases from credit approval decisions impacting...

Incident response teams leverage forensic tools examining system artifacts to unravel security breaches, insider threats, fraud, or policy violations across endpoints and networks. Specialized utilities reconstruct sequences of events, uncover malicious files or activity traces, and extract relevant evidence for investigations. With rising data volumes and attack sophistication challenging digital forensic analysis, practitioners need robust toolkits to automate mundane workflows while still allowing manual assessment of complex cases. I outline the top 10 essential open source and commercial IT forensic tools stacking robust functionality, widespread adoption, and vendor support. The integrated toolkits collect and parse event data from diverse systems...

The emergence of Industry 4.0 and cyber-physical systems (CPS) has brought tremendous efficiency improvements and cost savings, but also potential vulnerabilities if not properly secured. As physical industrial systems and processes become increasingly connected and automated, new attack surfaces and threat vectors arise that can severely disrupt operations, cause safety issues, or enable data and intellectual property theft. To fully unlock the value of Industry 4.0, proactive measures for resilience and security must be baked into system designs and organizational processes. This outlines the top 10 most vital cyber-physical systems security solutions that operations and IT leaders in manufacturing, energy,...

As volumes of data grow exponentially, integration platforms warrant substantial investment. Top-rated tools go far beyond basic connectors for commonly used apps like CRM, marketing, HR, and ERP. The highest-performing offerings allow you to connect legacy on-premises systems in addition to leading SaaS applications. With robust automation capabilities, processes automatically trigger based on real-time data updates across systems. Across test cycles we see drag-and-drop interfaces that dramatically decrease how long a project takes, empowering citizen developers who lack prior coding experience. Monitoring tools supply visibility into data flows and catch issues proactively before they impact business. As part of...

Graph databases utilize network-style data storage to connect various bits of information. As opposed to typical relational databases that store every data attribute within a formatted table restriction, graph structures have the benefit and versatility to map limitless relationships across considerable datasets. Effectively utilizing these connections allows extrapolation of additional context not always evident in isolated attributes. While relational databases still serve an important purpose for normalized data storage and reporting purposes, graph databases present unique analytical advantages in tracing relationships for modern, intricate data analysis. Several high-quality graph database management system solutions now exist to take advantage...

The paradigm shift to Micro Services Architecture (MSA) marked a watershed moment for streamlining application building while enabling agile development, easy maintenance, and fault isolation during continuous, scalable product deployment. Prevalent in currently distributed architectures, resilient microservices permit dedicated teams of varied skill sets to take ownership of managing specific modular components that are loosely coupled and collaborate seamlessly through light protocols. Leveraging major public Cloud providers like AWS, and Azure allows teams to orchestrate modular microservices development around cost-efficient infrastructure for spanning multi-cloud platforms and hybrid environments and avoiding vendor lock-in. However, complex architectures demand intelligent management, coordination,...

As technological innovation continues accelerating, IT service management (ITSM) must evolve to enable organizations to adapt and thrive. Over the next ten years, IT leaders will focus ITSM strategies on exploiting emerging technologies while optimizing budgets and resources. Artificial intelligence, automation, and connectivity promise to transform service delivery as sustainability becomes an organizational imperative. Successfully navigating these ITSM trends requires embracing modernization. IT teams should adopt collaborative, insights-driven approaches putting end-users at the center. Cloud and distributed systems will become the norm. By investing in skills development and stress-testing ITSM programs, organizations can harness technology to create lean, resilient,...

ITIL outlines comprehensive best practices and checklists for IT service management, with the overarching goal of aligning the delivery of IT services with changing business needs. Originally developed in the 1980s and currently on its fourth version, ITIL has been widely adopted globally across industries from banking to healthcare. Through the systematic management, measurement, and improvement of IT operations, companies can drive enhancements in cost efficiency, employee productivity, revenue, profits, and customer experience. I outline the top 10 critical ITIL practices that contribute to service excellence from both technology and business perspectives. But IT leaders first need to clearly...

Database high availability and disaster recovery strategies warrant careful evaluation to meet resilience objectives across heterogeneous environments. As a DBA across test cycles, I outline the top 10 viable solutions to replicate business-critical databases with minimal downtime. Before detailing the leaders, I consider the core capabilities that underpin resilient data protection schemes for crucial systems. Transactional consistency merits focus to prevent data loss and corruption. We need synchronous or asynchronous replication allowing near-zero RPO and RTO depending on the solution. Ease of management across sources and targets also proves essential over failover orchestration, monitoring dashboards, and automated reporting. As...