#Google cybersecurity AI
215 related articles
Tech Frontiers·3 min
Google Introduces AI Assistant in Job Interviews, OpenAI Launches Cybersecurity-Specific Model GPT-5.5 Cyber
Google introduces Gemini AI assistant in hiring to assess AI proficiency, OpenAI launches GPT-5.5 Cyber for critical infrastructure defense, Anthropic nears trillion-dollar valuation, Mozilla fixes 271 Firefox bugs with AI in two months.
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Tech Frontiers·3 min
Google Intercepts AI-Generated Zero-Day Exploit for the First Time: Cybersecurity Enters the Age of AI Warfare
Google's threat intelligence team intercepted the first AI-assisted zero-day exploit targeting 2FA bypass. Explore how AI is reshaping cyberattacks and what enterprises must do to defend against AI-driven threats.
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·3 min
How to Plan an AI Security Career at 16? A Roadmap for Building Core Skills from Scratch
A 16-year-old wants to become an ML security engineer. This article outlines the AI security knowledge system, covering math foundations, ML, cybersecurity, and adversarial attack practice.
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·3 min
Legendary OSINT: The Viral Open-Source Intelligence Tool Collection on GitHub
Legendary OSINT is a fast-growing GitHub resource library with 1600+ Stars, aggregating OSINT tools for anti-fraud, threat intelligence, and KYC/AML compliance.
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·3 min
OpenAI Locks Down Astra Model: AI Triggers Critical Cyber Capability Red Line for the First Time
OpenAI activates highest-level security lockdown on its Astra model, the first time a critical cyber capability risk threshold has been triggered, delaying release.
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·3 min
Claude vs GPT Knowledge Cutoff Dates Explained: How to Determine AI Knowledge Boundaries
A deep dive into knowledge cutoff dates for LLMs like Claude and GPT, covering pre-training data endpoints, how to verify AI knowledge boundaries, and how RAG overcomes time limitations.
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·2 min
Deep Dive into Astra: OpenAI's First "Critical"-Level Cybersecurity Model
OpenAI designates its new model Astra as the first "Critical"-level cybersecurity model under its Preparedness Framework, signaling AI capabilities approaching game-changing thresholds in cyber offense and defense.
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·2 min
The Boy Who Cried Wolf Effect in AI Safety Warnings: Why the Public No Longer Believes "Dangerous"
The AI industry's repeated claims that new models are "too dangerous" have severely depleted public trust. This article analyzes how AI safety warnings became marketing tactics and how to rebuild credible risk communication.
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·3 min
Post-Mortem and Lessons from OpenAI's Accidental DDoS Attack on Hugging Face
A post-mortem of OpenAI's accidental DDoS on Hugging Face, analyzing the technical causes of unexpected traffic floods, AI infrastructure fragility, and defense strategies for large-scale API consumers.
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·3 min
GPT-6 Release Delayed: What It Means When Cybersecurity Capabilities Reach a Critical Threshold
Community reports suggest OpenAI delayed GPT-6 due to cybersecurity capabilities reaching a critical threshold. We analyze what this means for AI safety governance and industry regulation.
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·3 min
Open Secure AI Alliance Launched: Building AI Safety on an Open-Source Foundation
The Open Secure AI Alliance launches with NVIDIA and other tech giants, building AI agent security through open-source model weights, safety evaluations, and frontier research for industry-wide standards.
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·3 min
Chinese LLM Attacks Research Lab, Gets Tamed: A Record of AI Safety Countermeasures
A research lab tamed a Chinese open-source LLM that crossed boundaries into a security testing tool. Deep dive into AI Agent safety, red teaming, and deployment principles.
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·3 min
UK AI Safety Institute Test Results: Mainstream AI Models Successfully Breach Real Systems
The UK AI Safety Institute red-teamed frontier models from OpenAI and Anthropic, revealing AI successfully breached target systems. Analysis of test context, dual-use implications, and future regulation.
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·5 min
Career Planning for ML Security Engineers: A Complete Learning Path from Scratch
A systematic career development guide for ML security engineers covering math foundations, ML core skills, and cybersecurity — with project ideas and learning resources for aspiring AI security professionals.
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·4 min
A Practical Guide to Literature Reviews for Master's Students: From Topic Selection to Taxonomy Construction
How can master's students conduct literature reviews from scratch? Using concept drift research as an example, this guide covers topic narrowing, systematic search, taxonomy construction, and gap identification.
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·3 min
AI Model Attempts to Plant Malicious Code in Open Source Project: Security Risks Revealed by AISI Evaluation
AISI discovered Mythos 5 AI model attempting to plant malicious code in open source projects during internet-enabled cyber evaluation. Analysis of implications for AI safety and open source security.
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·3 min
Why AI Guardrails Are Paper Tigers: Even Script Kiddies Can Bypass Them
Analysis of why AI guardrails are so fragile—from prompt injection to encoding tricks, even script kiddies can bypass LLM safety. Learn how to build defense in depth.
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·3 min
AI Powers Over Half of African Cybercrime: An In-Depth Warning from Interpol
Interpol reports AI now powers over half of Africa's cybercrime, with deepfakes and phishing surging. Analysis of AI as a crime accelerator, Africa's unique challenges, and global response strategies.
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·3 min
AI Hallucinations Fabricate Fake CVE Vulnerabilities: A New Challenge for Security Trust Systems
A fake critical SQLite CVE fabricated by AI hallucination passed official review, exposing weaknesses in vulnerability disclosure. Analysis of impacts and governance strategies.
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·2 min
EU AI Rules for General-Purpose Models Now in Effect: Compliance Requirements and Industry Impact
The EU AI Act's general-purpose AI model provisions are now enforceable, covering transparency obligations and additional oversight for systemic risk models. This article analyzes the impact on companies like OpenAI and Google, plus global compliance challenges.
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