Three insights you may have missed from theCUBE’s coverage of Black Hat USA

SiliconANGLE · 2 months ago · 37

TheCUBE’s Black Hat USA coverage highlighted that cyber resilience is shifting from preventing breaches to sustaining trusted operations as AI accelerates attacks and autonomous behavior. The median time from initial access to handoff to a secondary threat group fell from more than 8 hours in 2022 to 22 seconds in 2025. Enterprises are therefore expanding defense into context-aware controls, shared telemetry across development and operations, and production governance for AI agents and data.

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AI Security AI Governance Agentic AI Cybersecurity

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NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart

Amazon Web Services · 2 months ago · 33

NVIDIA Nemotron 3.5 Lightning was added to Amazon SageMaker JumpStart, letting users deploy the open model without manually configuring the serving infrastructure. The launch reports up to 4x higher throughput and up to 30% faster task completion for high-volume agentic workloads. Users can now pick the BF16 or NVFP4 model variants in JumpStart and create SageMaker AI endpoints, changing deployment from custom setup to one-click provisioning.

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Agentic AI GPU Infrastructure NVIDIA Open Models

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From AI Copilots to Agent Swarms

IEEE Spectrum · 2 months ago · 37

AI-driven software engineering at AMD has expanded from copilots into agent-based workflows across the SDLC, with agents generating and validating code, tests, and release artifacts. AMD says AI now produces a 30 percent overall productivity boost and has resolved RSX issues automatically from 6% to more than 75% between October 2025 and June 2026. AMD credits continuous learning loops and refinements to agent objectives—rather than retraining models—so the next change is enabling collaborative agent swarms to independently propose and optimize solutions under human-defined goals.

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AI Agents & Workflows Agentic AI AI Automation AI Coding Agents

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Import AI 469: Science AI; RSI simulator; and Zuck's technological pessimism

Import AI · 2 months ago · 18

DiG-bench introduced a benchmark of discovery in games and found today’s frontier AI systems struggle to infer hidden environment rules compared with humans. The benchmark covers 70 games. As a result, leaderboard results hinge on tools like harness access (e.g., Claude Code) and suggest progress toward stronger autonomous “taste” and replication-style discovery is ongoing across multiple new evaluation setups.

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Agentic AI AI Evaluation AI Benchmarking Language Models

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