AI Red Teaming Complete Ebook, Guide, Manual – FREE!

AI Red Teaming Book: 2000+ Pages, 670 Chapters! CLICK HERE TO DOWNLOAD! (40+MB) Artificial Intelligence Safety / Security – The Most Comprehensive eBook! When ChatGPT explosively burst into public consciousness in 2023, many felt they had witnessed the dawn of …

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AI Expert – Why Your Company Needs Me

AI (Artificial Intelligence) isn’t the future anymore—it’s the present. Every company wants to use it, shareholders expect it, competitors are experimenting with it. Yet reality is sobering. According to the latest MIT and Deloitte analyses, the overwhelming majority of generative …

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Gemini 2.5 Deep Think vs Claude Opus 4.1 – Security Comparison

Updated: November 4, 2025 | Reading time: 14 minutes | AI models: Gemini 2.5 Pro, Claude Opus 4.1, GPT-5 Executive Summary In August 2025, two revolutionary reasoning models launched almost simultaneously: Google’s Gemini 2.5 Pro Deep Think mode on August 1st, and Anthropic’s Claude Opus …

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GPT-5 Enterprise Security Review – 3 Months Post-Launch

Updated: November 4, 2025 | Reading time: 12 minutes | AI models: GPT-5, GPT-4 Turbo, Claude Opus 4.1 Executive Summary On August 7, 2025, OpenAI released GPT-5, marking a significant milestone in enterprise artificial intelligence security. After three months of real-world deployment, we can now …

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Overprivileged AI: The Prompt Injection Breach

The Overprivileged Agent: Prompt Injection’s Path to Data Exfiltration The recent GitHub Model-Centric Programming (MCP) vulnerability served as a stark, practical demonstration of a threat vector we in the AI security space have been modeling: prompt injection attacks that leverage overprivileged …

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OWASP TOP 10 – 2025: The new foundations of AI security

By 2025, AI is no longer an experiment! Large Language Models (LLMs) have seeped into everyday business workflows: customer support, content operations, data handling, decision support — even code generation is now almost fully automatable. But with this, a new …

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Next-Gen Phishing: Targeting AI/ML Teams

Dissecting a Multi-Stage Credential Harvesting Attack with Implications for AI/ML Environments A recently identified phishing campaign demonstrates a sophisticated, multi-stage approach to credential harvesting that holds significant implications for organizations developing or deploying AI and Large Language Models (LLMs). The …

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Beyond the Model: Securing AI Containers

The Critical Link Between Container Security and AI/LLM Integrity Containers have become the de facto deployment standard for modern applications, and the AI/LLM space is no exception. The lightweight, portable, and scalable nature of containers makes them the perfect vehicle …

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Infrastructure Flaws: The Silent Threat to AI Security

Infrastructure Under Siege: Foundational Security Flaws Pose a Direct Threat to AI/ML Systems The security of AI and LLM systems does not exist in a vacuum; it is critically dependent on the integrity of the underlying infrastructure. A stark reminder …

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Securing AI: The New Role of NISTs IoT Framework

The National Institute of Standards and Technology (NIST) has released the second public draft of NIST IR 8259 Revision 1, a foundational document outlining cybersecurity activities for IoT product manufacturers. While framed around the Internet of Things, this evolving guidance has …

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