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Who's to blame?

It's easy to blame AI for hacks and attacks. However, “Rogue AI” turns the incident into a story about machine intent. The useful question is how an internal model evaluation crossed its sandbox, reached the internet and became an intrusion into another company.

What the “rogue AI” attack on Hugging Face exposed about network containment The Hugging Face AI attack was not a rogue AI incident. It exposed failures in egress control, credential scope, and network containment.

Weekly news roundup

Last week in cybersecurity. Focused, fast, scannable.

Cybersecurity news weekly roundup July 27, 2026 Major cybersecurity stories include exploited zero-days, AI agent flaws, state-backed attacks, ransomware campaigns, cloud identity risks, and phishing disruption.

Editor's Pick

10 ways AI fuels cybercrime Faster troubleshooting. Smarter automation. Better visibility. AI also introduced a new operational risk that network teams can't ignore.

In case you missed it

How AI-powered malware is evading traditional firewalls AI fuels cybercrime as phishing, malware, and impersonation grow more convincing, more frequent, and harder to stop. Is the threat outpacing defense?

AI-ready networks: Why legacy infrastructure falls short Legacy infrastructure struggles with AI workloads. AI-ready networks need lossless interconnects, precise RDMA tuning, and non-blocking topologies.

7 cases where AI agents acted on input nobody verified AI is transforming router technology and reshaping the future of network performance and security.

The common thread is not AI, malware, or any single platform. It is trusted access reaching further than it should. Strong networks limit that reach, contain failures early, and do not assume that a trusted tool will always behave as expected.

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Mike Syiek
President, NetworkTigers Inc.
www.networktigers.com
1029 S. Claremont Street, San Mateo, CA 94402
+1 415.537.6950 x241 Direct
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Email: mike@networktigers.com

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