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Attackers Exploit Issabel Framework Flaw Enabling Unauthenticated OS Command Execution
A critical security flaw in Issabel Framework, a web-based framework for the open-source unified communications PBX software, has come under active exploitation. The vulnerability in question is CVE-2026-89026 (CVSS v3.1 score: 9.8/CVSS v4.0 score: 9.3), which can allow an unauthenticated remote attacker to execute arbitrary operating system (OS) commands by taking advantage of a hard-coded
Optimizing agent system prompts with Amazon Bedrock AgentCore
AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and shares benchmark results for the Single Agent and Sub-Agent Reflectors.
Three Threat Groups Target Russian Enterprises With Backdoors, Ransomware, and Wipers
Enterprises in Russia have emerged as the target of three threat activity clusters tracked as NightEagle, Hacking Cat, and Toy Ghouls, according to multiple reports from Kaspersky. The cybersecurity vendor said it has identified attacks mounted by NightEagle (aka APT-Q-95), a threat actor known to be active since at least 2023, that involve new techniques for persistence and lateral movement.
What happens when neutrinos swap identities inside a supernova?
Identity-fluid particles may carry some energy out, leading to direct collapse.
Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation
Learn how to automate end-to-end PII detection and redaction from scanned documents at scale using Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda. A custom blueprint redacts sensitive fields with field-level precision, and a token matching quality check raises recall across degraded and handwritten documents.
Architecting Production AI Across Clouds: Patterns That Decide System Survival
Most enterprise AI post-mortems do not blame the model. They blame the storage tier that starved the accelerators, the identity policy that over-granted access, the cost model that ignored egress, the forecast that leaked future data, or the region that failed and took a business process with it. The hard part of production AI was never intelligence. It was the engineering discipline around it. This article distills the architectural patterns that decide whether a cloud AI system is trustworthy
macOS 27 Golden Gate: The Ars Technica review
It's both a "Snow Leopard update" and a major leap for Apple Intelligence.
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