ai-security

The Awesome AI Agent Attacks repository provides a meticulously curated timeline of real-world AI agent security incidents, breaches, and vulnerabilities from 2024 to 2026. Each entry is thoroughly sourced and dated, offering a factual overview of the evolving threat landscape in agentic AI. It serves as an essential resource for understanding the practical implications of AI security.

AI model security means protecting machine learning models from vulnerability and misuse. This includes everything related to an AI model: the data used to train it, the infrastructure it runs on, the algorithms it uses, and the outputs it produces. A model’s behavior is shaped by its training data and runtime inputs in ways that […] The post AI Model Security Best Practices appeared first on Ana…

Google recently patched an actively exploited Android flaw affecting millions of devices. Most teams will read that sentence and treat it as a mobile patching issue. That is not wrong. But it is incomplete. In 2026, a compromised mobile device is not just a device problem. It can become an AI security problem too. Employees use Android phones for work email, SaaS dashboards, MFA approvals, browse…

In the rapidly evolving landscape of artificial intelligence, DeepSeek has emerged as a significant player, offering open-source AI models that promise cost-effective, high-performance solutions. However, its adoption brings forth substantial security concerns, primarily linked to its operations on Chinese servers. Security Risks Due to Chinese Hosting The major security issues with DeepSeek are …