Thomas Godwin, Author at SiliconANGLE

AI

Elastic targets AI-powered SOC with Alert Zero to eliminate alert fatigue

By Thomas Godwin Aug 9, 2026

Security operations centers have spent years stacking tools to solve alert volume issues that tools simply can’t fix, and Elastic is now making the case that AI-powered SOC is the only viable path forward.…

AI

Cyber risk management moves beyond dashboards toward autonomous remediation

By Thomas Godwin Aug 7, 2026

Organizations are rebuilding cyber risk management around faster response as frontier AI turns newly discovered vulnerabilities into usable weapons within hours. The shrinking window between vulnerability discovery and weaponization came up in nearly every…

AI

Fortinet targets network security platform convergence to address AI-era complexity

By Thomas Godwin Aug 7, 2026

In the rush to adopt AI, enterprise security architectures are diminishing, and the only appropriate response is a network security platform that incorporates networking and security into a single, consistently governed fabric. That’s the…

Cube Event Coverage

Cyber resilience emerges as a distinct investment category as downtime costs hit $19M per hour

By Thomas Godwin Aug 6, 2026

Cyber resilience is no longer considered a mere technical concern, but a board-level business imperative and a direct investment category. In terms of recovery speed, the organizations that treat it as such will bounce…

AI

OPSWAT targets file regeneration over detection for critical infrastructure security

By Thomas Godwin Aug 6, 2026

Critical infrastructure security faces a novel threat of the sort that detection-based defenses were never designed to handle, and the critical personnel who run our power grids, water plants and financial systems can’t afford…

AI

Cerebras and AMD partner to build the world’s fastest disaggregated AI inference solution

By Thomas Godwin Jul 29, 2026

Disaggregated AI inference is proving to be more than a complementary answer to the prefill and decode bottleneck slowing enterprise AI at scale, and Cerebras and AMD just announced a partnership to build the…

AI

Knowledge graph architecture gives enterprises ownership of the AI intelligence they create

By Thomas Godwin Jul 29, 2026

Knowledge graph architecture has emerged from the concept stage, consigned to the realm of academia, to the production infrastructure stage, and the enterprises that shape it the right way will own the intelligence their…

AI

Vultr targets open composable stacks and AMD partnership to lead cloud AI infrastructure

By Thomas Godwin Jul 27, 2026

Cloud AI infrastructure is shifting into a new cycle, defined by who can deliver the strongest performance per dollar on a global setup that also meets different countries’ sovereignty rules. That’s the premise Vultr is…

AI

HPE targets HPC and AI infrastructure convergence as supercomputing scale meets enterprise AI

By Thomas Godwin Jul 25, 2026

HPC AI infrastructure is no longer a parallel track to traditional computing. They are merging into a unified computing foundation that the supercomputing world has been building toward for years. The same infrastructure once…

AI

AWS EC2 compute evolves to meet agentic AI and physical AI demand

By Thomas Godwin Jul 25, 2026

Twenty years on, AWS EC2 compute is meeting demand shaped by agentic AI, physical AI, and customers pushing general-purpose cloud infrastructure into new territory its earliest architects never anticipated. That growth is permeating throughout…

Thomas Godwin

Elastic targets AI-powered SOC with Alert Zero to eliminate alert fatigue

Cyber risk management moves beyond dashboards toward autonomous remediation

Fortinet targets network security platform convergence to address AI-era complexity

Cyber resilience emerges as a distinct investment category as downtime costs hit $19M per hour

OPSWAT targets file regeneration over detection for critical infrastructure security

Cerebras and AMD partner to build the world’s fastest disaggregated AI inference solution

Knowledge graph architecture gives enterprises ownership of the AI intelligence they create

HPE targets HPC and AI infrastructure convergence as supercomputing scale meets enterprise AI

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