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agentic platforms

The 9 Best Agentic SDLC Platforms for Engineering Teams in 2026

Ask most AI development tools to do something, and they wait for a prompt. That works for a developer sitting at a keyboard. It does nothing for the bug filed at 2 am, the security finding that sat untriaged for a week, or the pull request comment nobody followed up on. The work that slows

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OpenAI and Anthropic models ‘went rogue’ during UK cybersecurity test

AI Security Institute says tools engaged in potentially harmful activity and incident reveals new type of riskAdvanced AI models developed by OpenAI and Anthropic went rogue during a cybersecurity test and showed a new type of risk posed by the technology, according to the UK’s AI Security Institute.AISI described the actions carried out by the

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NVIDIA Releases Alpamayo 2 Super: A 34B Open Vision-Language-Action Model for Robotaxis and Autonomous Driving Under OpenMDW-1.1

NVIDIA has released Alpamayo 2 Super, a 34B-parameter vision-language-action (VLA) model for autonomous driving, under an open commercial license. The stated design target is the long-tail events: rare, multi-agent situations that conventional detection-and-prediction stacks handle poorly. The model pairs a 32B VLM backbone, built on NVIDIA Cosmos 3 Super Reasoner and post-trained with reinforcement learning,

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VCF 9.1 Private AI Security: How NSX and vDefend Protect Models, Data, and GPU Workloads

TL;DR VCF 9.1 Private AI security is not one firewall rule, one dashboard, or one product. It is an architecture in which VCF Private AI Services supplies the AI service layer, VCF Networking and NSX control connectivity and segmentation, VMware vDefend provides lateral security and threat prevention, and operations tooling correlates model activity with identity,

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Why AI Assistants Fail in Production: A Runbook for Handoffs, Latency, Hallucinations, and User Loops

TL;DR AI assistant failures are usually system failures, not just model failures. A production assistant can fail because of weak retrieval, stale content, poor routing, missing telemetry, slow tools, unclear handoff logic, prompt drift, or access-control gaps. Treat the assistant like an operational system with traces, failure domains, validation tests, rollback paths, and accountable owners.

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