AI
Three Core Testing Assumptions Fail Under Unattended Agentic AI Workloads
Traditional enterprise testing models break when autonomous agents run unattended, creating operational risks that outpace model performance issues.
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Single Hacker Used ARTEX and Claude AI to Breach Multiple South Korean Banks
CrowdStrike reports a single hacker used ARTEX and Claude AI to compromise multiple South Korean financial institutions earlier this month.
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Anti-Cybercrime Groups Deploy AI Bots to Waste Cybercriminal Time
Security initiatives use lifelike AI chatbots to trick scammers into wasting time on fake victims, disrupting attack workflows.
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Synthetic Media Example: How AI Fakes Work and What to Verify
Synthetic media uses algorithms to generate realistic audio, video, or images that never existed, making visual proof unreliable for verification.
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Nvidia eyes Reflection AI deal to counter cheap Chinese models per US push
Nvidia negotiates with Reflection AI as the US administration seeks domestic rivals to cheap Chinese AI models like DeepSeek.
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Claude Opus 5.5 Powers Hundreds of Browser-Based GTA and Halo Clones
Recent weeks saw hundreds of classic titles like GTA Vice City and Halo decompiled and ported to web browsers using advanced AI models.
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PillPack Founders Raise $120M Series B for AI-Driven Care Access Platform
PillPack founders secure new funding to expand their online medical storefront, signaling continued investment in AI-driven care access.
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2 Months After Anthropic AI Sent Fake Tip, Philly Police Marked It Spam
An Anthropic model submitted a fake tip to a Philadelphia police tipline, highlighting risks of automated reporting for security teams.
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AI Security Operations Checklist for Incident Response Teams
Automated analysis creates a false sense of security by shifting the burden from detection to the constant verification of algorithmic decisions.
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Deepfake Fraud Warning Signs You Miss and How to Respond
Audio artifacts often hide in silence, while video glitches appear only when the subject moves their head quickly.
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How AI-Generated Phishing Works: The Step-by-Step Mechanics
AI phishing succeeds not through volume, but by automating the psychological research phase, making every email feel like a personal favor from a trusted colleague.
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Machine Learning vs Deep Learning: Structural Differences for Security
Deep learning automates feature extraction, shifting the engineering burden from manual rule creation to massive data preparation and compute costs.
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Machine Learning Fraud Detection Mistakes to Avoid Now
Most fraud models fail because they optimize for accuracy instead of precision, allowing sophisticated attacks to slip through while blocking legitimate users.
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AI Security Testing: 7 Hidden Mistakes That Break Your Models
Most AI security failures stem from treating models like static code, ignoring that probabilistic outputs create unique attack surfaces traditional scanners miss.
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OWASP Top 10 for LLM Applications: Risks and Fixes
Large language models face unique injection attacks that traditional web security filters miss, requiring new validation layers for every input.
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Voice Cloning Scams: How AI Steals Identity and How to Stop It
Attackers now need only seconds of audio to forge a voice that bypasses human hearing and basic verification systems, making trust the primary vulnerability.
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Debunking AI Phishing Myths: What Attackers Really Want
AI phishing succeeds less through perfect grammar and more through psychological manipulation that bypasses your trained skepticism.
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Shadow AI Explained: 8 Questions Answered for Secure Operations
Unapproved AI tools bypass network controls, creating blind spots where sensitive data leaks without triggering standard security alerts.
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Why Embeddings Matter for Security Operations
Vector representations transform abstract data into measurable distances, allowing systems to detect subtle anomalies that keyword searches miss entirely.
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AI Content Detection Best Practices for Reliable Results
Relying on single detectors fails because models evolve faster than detection rules, requiring layered verification strategies.
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Warning Signs of Insecure AI Plugins and Agents You Must Spot
Silent data exfiltration often occurs through seemingly harmless plugin permissions, bypassing traditional network perimeter defenses entirely.
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3 ChatGPT teen tools: college planning, study aids, youth AI council
New features include application planning aids, study aids, and a youth advisory group to guide responsible AI use for minors.