Explore GTIG''s 2026 report on how adversaries leverage AI for zero-day exploits, autonomous malware, and
The researchers found a malware operation that''s been hijacking AI servers to mine cryptocurrency and steal
Cyberattacks target AI compute power to mine cryptocurrency using a vulnerability in popular open source software
AI-driven autonomous operations with human supervision The operational model represents a fundamental departure from traditional
In mid-September 2025, we detected suspicious activity that later investigation determined to be a highly
Researchers used advanced data analytics to create a state-by-state look at that environmental impact of the AI
Protect AI data with server security. Learn about threats, access controls, and defense strategies against attacks,
An active, highly structured intrusion campaign co-opting commercial artificial intelligence platforms as operational
Researchers have long warned that AI agents could lower the skill floor for offensive cyber operations, and a recent
The current literature on the cyber security risks to AI, does not contain a single comprehensive evaluation of AI
The AI-generated tool, titled "100% Working AD Information Gathering Script - FULLY FIXED," exhibited several
This is the first AI-agent-driven intrusion the Sysdig TRT has captured. The full attack chain — marimo notebook
Learn how to protect AI systems from data poisoning, model theft, prompt injection, and more with practical strategies
ABSTRACT This systematic review synthesizes 45 peer-reviewed studies (2019–2024) on AI-driven Network Intrusion Detection
In addition to continued experimentation with novel capabilities, throughout late 2025 GTIG observed threat actors
The integration of artificial intelligence (AI) and machine learning (ML) into cybersecurity has driven a transformational
Integrating AI into network forensics further improves cyber incident detection and analysis using tools like anomaly
Artificial Intelligence (AI) refers to the application of intelligent algorithms and machine learning techniques
A multi-stage attack on Linux devices began with an exposed F5 BIG-IP edge appliance and pivoted to an internal
Discover how AI-powered threat detection revolutionizes cybersecurity with faster, more accurate protection against
The researchers say that the AI agent adapted to failures during the intrusion, much like a human operator would
The main objective of this paper is to review and classify different AI-based IDS in the cloud and network. The paper
Check Point Research (CPR) has discovered that certain AI assistants that support web browsing or URL fetching
Autonomous AI agents are increasingly prevalent in cyberspace. The EU needs a real-time monitoring strategy, to
Thousands of servers hacked in ongoing attack targeting Ray AI framework Researchers say it''s the first known in-the
An intrusion detection system in 6G networks seeks to identify anomalous network traffic patterns, take prompt action
We believe that this comprehensive review paper covers the most recent advances and developments in ML and DL
In 30 days, AI went from defender''s tool to attack vector. Here are 9 verified AI-related cybersecurity incidents from
Intrusion prevention systems (IPS), also known as intrusion detection and prevention systems (IDPS), are network security
Explore AI intrusion detection systems (IDS) and anomaly detection strategies. Learn how ML and deep learning secure AI models
The flaw lets anyone who can reach the server run their own Python code on it, no login needed. Langflow boxes are a
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