Multi-Agent Orchestration on AWS With AgentCore Runtime and A2A
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also…
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Ransomware consultant said he would decrypt data, is accused of…
The owner of a ransomware remediation company is facing trial for defrauding customers. Zohar Pinhasi, also known as “Zack Silver” and “Zack Green,” has been arraigned in New York on…
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OpenAI reports three new incidents of misalignment
OpenAI continues to report incidences of “misaligned” behavior by its AI models, with three new reports dropping on Oct. 2. However, they describe relatively minor issues compared to previous alignment…
Read MoreHow Cache Invalidation Caused Memory Pressure and API Failures at…
Most production systems do not fail loudly. They degrade quietly. This case started with an API that was technically “healthy.” It was serving traffic, success rates were high, and no…
Read MoreMember Spotlight: Raghava Dittakavi
What separates a good engineer from a great one when AI can generate a solution in seconds? For Raghava Dittakavi, it comes down to judgment, curiosity, and a willingness to…
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Citrix issues its weekly critical security patch for NetScaler ADC…
For the third week running, Citrix has issued a critical security warning to customers managing their own NetScaler ADC and Netscaler Gateway instances, this time warning of a memory overflow…
Read MoreThreat Modeling Context-Aware AI: A STRIDE Walkthrough
Context-aware AI has become the default architecture for grounding Large Language Models (LLMs) in private, enterprise data. It is also quietly one of the most attack-rich architectures to reach production…
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TP-Link Sued by Four More U.S. States Over Router Security…
Four more U.S. states sued router maker TP-Link Systems on October 6, bringing the total to five, with Texas filing a suit in February. Florida, Iowa, Montana and Nebraska allege…
Read MoreWhy Your GPU Fleet Is Both Full and Idle: Building…
Most machine learning (ML) platforms still hand out accelerators through static quotas, spreadsheet-driven approvals, and hallway negotiation. That model was tolerable when capacity was cheap, and demand was steady. Neither…
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