Kelly Knight
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Cyber resilience takes center stage as AI reshapes the CISO role
CISO role evolution is accelerating as cyber resilience becomes a defining benchmark of security success. As AI reshapes the threat landscape, enterprises are focusing not only on defending against attacks, but also on how quickly they can recover from them. The stakes are steep: New research found the average cost of one hour of endpoint downtime ...
Graph neural networks are turning hidden fraud into visible networks
Graph neural networks are reshaping how enterprises hunt for fraud, moving detection beyond isolated transactions to reveal entire hidden networks of bad actors. As AI adoption accelerates, organizations are discovering that the real breakthrough isn’t just faster models — it’s a data structure built to expose relationships that traditional systems miss. That shift is playing ...
Agentic AI security tests enterprise defenses as scale outpaces strategy
Cybersecurity leaders are confronting an inflection point as agentic AI security becomes the defining challenge of this year’s threat landscape, with attackers and defenders racing to harness autonomous tools at unprecedented speed and scale. That urgency was on full display during the first day of Black Hat USA 2026, where autonomous AI agents dominated briefings ...
AI raises the stakes for CISOs as enterprise risk decisions shift: theCUBE analysis
CISO AI risk management is emerging as the defining test of the AI era, pushing security leaders beyond blocking attacks and into the middle of enterprise decisions about how much risk a business is willing to accept. As AI moves into production, those decisions are becoming increasingly intertwined with governance, compliance and business strategy. Much ...
Trusted AI data becomes the missing link as enterprises push models into production
Trusted AI data is emerging as the deciding factor between organizations that successfully scale AI and those still stuck cycling through pilots. As companies move beyond experimentation, many are discovering that the biggest obstacle isn’t building models — it’s knowing whether the data feeding those models can be trusted. That gap between ambition and readiness ...
Fortinet targets cybercrime accountability gap with human intelligence and bounty program
Cybercrime has evolved into a borderless criminal ecosystem, with attackers collaborating across networks and moving faster than defenders can respond, thanks in part to AI. That imbalance is fueling a new cybercrime bounty program aimed at helping law enforcement hold attackers accountable. Fortinet Inc.’s FortiGuard Labs is focused on closing the accountability gap — not ...
Graphs move from niche database to enterprise knowledge layer for AI systems
As generative AI matures beyond its early experimentation phase, enterprises are converging on a shared architecture for grounding large language models in trustworthy data: the enterprise knowledge layer. Four years after the release of ChatGPT, most organizations have moved past haphazard experimentation and settled on a shared vocabulary and set of architectural patterns for production ...
AMD moves beyond challenger status in the race for AI platform leadership
AI hardware competition entered a sharper phase this week as Advanced Micro Devices Inc. used its flagship AI event to argue it isn’t merely chasing Nvidia Corp. — it intends to lead the market outright. The shift marks a departure from years of AMD positioning itself as the pragmatic second option in accelerated computing. That ...
AMD’s Helios strategy turns the GPU battle into a systems contest
The market for data center GPUs is evolving beyond individual chip specifications into a contest over fully integrated rack-scale systems. As AI workloads scale into the gigawatt range, buyers increasingly demand validated infrastructure that can be deployed quickly rather than components assembled piecemeal. That shift has pushed Advanced Micro Devices Inc. to reposition itself as ...
Microsoft and AMD target silicon diversity to power Azure’s AI infrastructure buildout
Silicon diversity is emerging as the strategic hedge hyperscalers are building around as AI workloads outstrip the capacity of any single chip architecture. With demand for compute consistently outpacing supply, cloud providers are racing to build systems that can flex across GPUs, CPUs and custom silicon rather than lock into one supplier’s roadmap. That reckoning ...