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The AI agent worked perfectly in the demo. It could answer questions, search through documents, and even schedule meetings by talking to Slack. But when the enterprise AI team tried to deploy it for 500 users across multiple departments, everything broke. Authentication failed. Memory leaked between sessions. The integration with Salesforce required custom middleware. Observability […]

The CFO’s question was direct: “Why are we still paying 40% more for database performance we could get cheaper on Graviton?” The engineering team had been putting off the migration for months, citing complexity and uncertainty about .NET compatibility. But the numbers from AWS’s latest Graviton 4 benchmarks made the conversation impossible to avoid. In

The urgency to prepare for a post-quantum world is growing. The cryptographic systems that underpin today’s digital infrastructure, including RSA, ECDSA, and Diffie-Hellman, will be rendered insecure by advances in quantum computing. The challenge is not only technological, but strategic: how do organizations begin to prepare, without knowing exactly when the threat will fully materialize?

The attack happened at 3:17 AM on a Tuesday. A healthcare startup’s AWS root account fell to a sophisticated phishing campaign that bypassed their SMS-based MFA. Within hours, attackers had spun up cryptocurrency mining instances across multiple regions and exfiltrated patient data from their RDS databases. This scenario plays out more often than AWS customers

As the world advances toward a quantum-powered future, organizations must confront a growing yet underappreciated cybersecurity risk: the inevitable obsolescence of current encryption standards. The arrival of fault-tolerant quantum computers may not have a precise calendar date, but their threat to digital infrastructure is real, and irreversible once it materializes. Unlike Y2K, there will be

The notification arrived at 3 AM: “Critical SOC 2 audit finding – unauthorized data access detected.” What started as a routine quarterly review had uncovered a fundamental architectural flaw that threatened the company’s largest enterprise contract. The issue wasn’t a security breach or a failed control—it was an architectural decision made eighteen months earlier that

Machine learning engineers know the frustration well. You’ve spent weeks perfecting a model that achieves impressive accuracy in training, only to discover it crawls when deployed for real-time predictions. The choice becomes stark: accept poor performance or spend months manually optimizing for your target hardware. Amazon SageMaker Neo eliminates this painful trade-off entirely. The service

When nearly half of senior executives admit they can’t see what’s in their software supply chain, we have a problem. A new global survey of 1,500 C-suite and senior executives reveals that 49% lack the visibility needed to understand their software supply chain risks. More troubling: 80% of those with poor visibility experienced a breach

Serverless computing started in the cloud, but it’s not staying there. A recent special issue in Ad Hoc Networks explores how researchers are combining edge computing with serverless architectures, and the results suggest we’re about to see a fundamental shift in how distributed applications work. The research, led by teams from institutions across India, Australia,

The data collaboration problem has always been tricky. Companies want to build better models together, but sharing sensitive customer data feels risky. What if there was a way to train machine learning models on combined datasets without anyone actually seeing the raw data? AWS Clean Rooms ML just added Parquet file format support, and this