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Darkreading BlogJust now

[Virtual Event] Building a Secure AI Strategy for the Enterprise

→AI security strategies require robust frameworks to protect sensitive enterprise data.
→Multi-layered authentication and encryption are essential for safeguarding AI systems.
→Continuous monitoring and anomaly detection help prevent unauthorized AI access.
→Regular audits ensure compliance with evolving AI security standards and regulations.

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AWS Compute Blog8h ago

Customize Amazon API Gateway destinations for execution logs

→Amazon API Gateway now supports routing execution logs to CloudWatch Logs, S3, or Firehose.
→Log events can now be up to 1 MB, resolving previous 1 KB truncation issues.
→Customizable delivery allows meeting specific compliance and observability requirements.
→Execution logs capture detailed internal processing steps, aiding in troubleshooting and analysis.

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Darkreading Blog9h ago

Mythos Vulnerability Firehose Hits a Human Bottleneck

→Project Glasswing reveals numerous undisclosed Mythos vulnerabilities.
→Few identified vulnerabilities have been disclosed to the public.
→Even fewer vulnerabilities have received fixes or patches.
→Human bottleneck impedes timely vulnerability management and resolution.

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DevOps10h ago

Test Creation Was Never the Bottleneck

→AI-generated code now makes up 42% of commits, expected to hit 65% by 2027.
→85% of developers say AI shifted bottlenecks to code review and validation.
→96% of developers distrust AI-generated code; only 48% always verify it.
→87% believe they can identify AI code issues, but 34% failed in real incidents.

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NVIDIA Developer Blog10h ago

CUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUs

→CUDA Toolkit 13.4 now supports Windows on Arm, expanding Arm platform compatibility.
→Early developer support for NVIDIA Rubin GPU architecture is introduced in this release.
→MPS V3 offers enhanced GPU management with CLI, namespaces, and precise partitioning controls.
→CUDA Compute Fabric Transport enables efficient data movement across NVLink in multi-GPU systems.

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TheNewStack10h ago

Claude did best on a new benchmark for ‘agents that build agents’. It still passed fewer than a quarter of the tests.

→Hyper-𝜏-bench evaluates AI agents' ability to build other agents autonomously.
→Created by Sierra, it tests models on constructing customer service agents using provided business materials.
→Claude Opus 5 in Claude Code scored highest at 23.9%, with no model exceeding 25%.
→The benchmark aims to challenge current AI systems and highlight areas for improvement.

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