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What Black Hat 2026 Revealed About the Future of Security Operations

What Black Hat 2026 Revealed About the Future of Security Operations

What Black Hat 2026 Revealed About the Future of Security Operations Cybersecurity has always been a race against time. Black Hat 2026 made it clear that AI is putting new pressure on the clock. The industry’s answer to growing risk has long included more visibility, more detection and more specialized tools. Those investments generated valuable […]

Oracle APEX’s AI Bet: Generate Less Code, Deliver More Control

It’s well accepted that AI has changed the economics of software development. Code is plentiful. Leading coding agents can generate JavaScript, Python, Java and other software artifacts at remarkable speed at far lower costs. But more code does not necessarily produce better enterprise applications and outcomes.

We believe the enterprise challenge is shifting from code creation to application control. Organizations must determine whether AI-generated applications are secure, explainable, maintainable and consistent with existing governance practices. They must also decide who will maintain the generated software after the initial prototype becomes a production system.

Oracle’s new direction for APEX addresses this problem through architecture rather than through another proprietary AI assistant.

Physical AI Demands a New Approach to Enterprise Wireless Networks

NetworkANGLE

As AI moves beyond chatbots and into the physical world, networking becomes a mission-critical business platform. Artificial intelligence is entering a new phase. While much of the industry’s attention has focused on generative AI and conversational interfaces, the next evolution is occurring in factories, airports, warehouses, mines, and other operational environments where AI systems interact […]

The AI Bubble Won’t Burst Because AI Fails. It Will Burst If the Economics Fail.

There is an AI bubble forming. That statement usually triggers one of two reactions.

The first is that AI is obviously transformative, demand is exploding and therefore there cannot be a bubble

The second is that AI is overhyped, enterprises will eventually realize it and the entire market will collapse.

I think both arguments miss what is actually happening.

AI works. Enterprise adoption is growing. Inference demand is accelerating. AI is becoming embedded into cloud infrastructure, software development, cybersec

322 | Breaking Analysis | Forecasting the AI bubble: When scarcity turns to surplus

AI can be technologically transformative and still produce a capital bubble. Those two ideas are not in conflict.

The bubble bursting does not require AI to fail. It only requires deployable supply and capital commitments to grow faster than monetizable demand. When productive, revenue-producing AI capacity takes longer to materialize, pricing will normalize and financing will no longer bridge the gap. That’s when the capital cycle resets.

AI Is Transforming Network Operations: Why Self-Driving Networks Are Becoming a Business Imperative

Self-driving Networks

Artificial intelligence is changing enterprise networking in two fundamental ways. While much of the industry’s attention remains focused on building networks capable of supporting AI workloads, an equally significant transformation is occurring in how networks themselves are designed, managed, and operated. At HPE Discover 2026, HPE expanded its vision for self-driving networks by extending AI-powered […]

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