AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...
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Cybercrime: What is it?

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The event — hosted by the USU Student Organization of Cybersecurity, or SOC, and led by the USU Baddies of Tech Club, or BOT ...
The bustling digital economy of Philadelphia brings together innovation and historic aspirations in actions that have never ...
As we enter 2026, we will have to move past the initial awe of viewing AI as simply an image-generation or chat-based tool. Over time, the companies have ...
As organizations deploy AI agents to handle everything, a critical security vulnerability threatens to turn these digital ...
The code injection flaws allow for unauthenticated remote code execution on Ivanti Endpoint Manager Mobile deployments, but ...
Vulnerabilities have been discovered in the Kubernetes gatekeeper platform Ingress-Nginx ahead of its planned obsolescence.
History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions ...
This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...