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This week is not about one big event. It shows where things are moving. Network systems, cloud setups, AI tools, and common apps are all being pushed in different ways. Small gaps in access control, exposed keys, and normal features are being used as entry points

We’ve all seen this before: a developer deploys a new cloud workload and grants overly broad permissions just to keep the sprint moving. An engineer generates a "temporary" API key for testing and forgets to revoke it. In the past, these were minor operational risks, debts you’d eventually pay down during a slower cycle

Intentionally vulnerable training applications are widely used for security education, internal testing, and product demonstrations. Tools such as OWASP Juice Shop, DVWA, Hackazon, and bWAPP are designed to be insecure by default, making them useful for learning how common attack techniques work in controlled environments

A new joint investigation by SentinelOne SentinelLABS, and Censys has revealed that the open-source artificial intelligence (AI) deployment has created a vast "unmanaged, publicly accessible layer of AI compute infrastructure" that spans 175,000 unique Ollama hosts across 130 countries

A critical misconfiguration in Amazon Web Services (AWS) CodeBuild could have allowed complete takeover of the cloud service provider's own GitHub repositories, including its AWS JavaScript SDK, putting every AWS environment at risk

In December 2024, the popular Ultralytics AI library was compromised, installing malicious code that hijacked system resources for cryptocurrency mining. In August 2025, malicious Nx packages leaked 2,349 GitHub, cloud, and AI credentials. Throughout 2024, ChatGPT vulnerabilities allowed unauthorized extraction of user data from AI memory

From Detection to Resolution: Why the Gap Persists A critical vulnerability is identified in an exposed cloud asset. Within hours, five different tools alert you about it: your vulnerability scanner, XDR, CSPM, SIEM, and CMDB each surface the issue in their own way, with different severity levels, metadata, and context

Cybersecurity researchers have disclosed three now-patched security vulnerabilities impacting Google's Gemini artificial intelligence (AI) assistant that, if successfully exploited, could have exposed users to major privacy risks and data theft

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