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Cyber security news, as it breaks.
Updated 116 stories in 24 hours
AI & Emerging Technology
👉 AI misuse, automation, deepfakes
85stories this week
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the last seven days
Most fromHelp Net Security, SecurityWeek, CSO Online UK, The Hacker News
In the news hereOpenAI18Microsoft9Google8Anthropic8APT29 (Cozy Bear)1
MyCyberWay trainingAI is part of the attack surface now. Learn to watch it.Compare the programmes
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Coverage period: July 1, 2026 through September 30, 2026 Overview This roundup consolidates selected major AI-related security incidents and exploit disclosures reported during the coverage period. It aligns each entry to the OWASP Top 10 for LLM Applications 2026 and the OWASP Top 10 for Agentic Applications 2026, with published CVE references where available. It…
OWASP GenAI Security Project
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Anthropic’s Claude Haiku 5.5 model, designed for quick, repetitive workloads and speed-sensitive tasks, is now better at finding vulnerabilities and writing exploits than its predecessor. The company has given it stricter cybersecurity safeguards than Haiku 4.5, though lighter ones than its more advanced models, whose offensive skills remain well ahead. Cybersecurity capabilities and safeguards Anthropic…
Help Net Security
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The cybersecurity startup will invest in product innovation, agentic research, and employee base expansion.
SecurityWeek
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Amazon Web Services (AWS) has introduced an open-source sandbox for AI agents that allows developers to restrict their actions based on previous behavior, seeking to address security risks as enterprises give autonomous systems greater access to applications and data. The tool, called Strands Box, combines operating system-level isolation with policies that govern what agents can…
CSO Online UK
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Cisco Talos identified an APT spear-phishing campaign against individuals affiliated with Taiwan research organizations. The operation leveraged legitimate public event themes and impersonated reputable academic and policy institutions.
Cisco Talos
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“AI-analysis evasion” encapsulates the real-world techniques malware authors are developing in attempt to obstruct or defeat any layers of automated AI analysis.
Cisco Talos
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GitHub has announced an AI detector, developed with Microsoft Applied Sciences, to help prevent developers from uploading passwords and other credentials to code repositories. The ModernBERT-based classifier will expand GitHub’s push protection, which checks code for secrets and can block a push before a credential enters repository history. How the detector works Existing checks recognize…
Help Net Security
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Yusaku Fujii, a professor at Gunma University in Japan, has designed audits and penalties to stop operators from misusing AI that analyzes street camera footage. His system adds an independent record-keeper and unannounced spot checks to the AI’s outputs. Fujii’s test setting is what he calls a Fully Monitored Public Space (FMPS): streets where cameras…
Help Net Security
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Most compliance work goes into proving security, not improving it. That isn’t because the rules are unreasonable. Regulators, customers, and cyber insurers are right to expect organizations to implement hundreds of technical and administrative controls, monitor their environments, respond to incidents, and prove that all of it works. The problem is the cost of delivering…
Help Net Security
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Cofense’s Beyond Human Risk: Measuring Secure Behavior with an AI-Driven Platform webinar examined how Secure Behavior Management (SBM) closes that gap through competency measurement, which shows what employees can actually demonstrate rather than what they have completed. The Cofense platform brings together employee competency, real-world phishing behavior, and the actions organizations can take to improve…
Cofense
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This post shows you how to configure an AI model to perform structured, evidence-based vulnerability triage with the consistency of a seasoned security analyst. You’ll learn the design decisions behind five configuration sections that enforce structural verification, evidence-based scoring, and infrastructure-aware prioritization across every analysis session. Our companion post—Building your AI vulnerability harness—covered the architecture;…
AWS Security Blog
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Vulnerability scanners produce findings faster than manual triage can process them. Your developers ship more code with more dependencies, and the volume of candidate findings grows with it. Many findings a scanner produces are unlikely to be exploited. The ones that matter need to reach an engineer fast, with enough evidence that they can act…
AWS Security Blog
