The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
To fight ransomware, organizations must shift from chasing IoCs to detecting attacker behaviors — Tactics, Techniques, and ...
An advanced threat actor exploited the critical vulnerabilities "Citrix Bleed 2" (CVE-2025-5777) in NetScaler ADC and Gateway, and CVE-2025-20337 affecting Cisco Identity Service Engine (ISE) as ...
Blending DDI with AI lets your network see, think and fight back faster — closing gaps before attackers even get in.
AI-driven tools are seen to strengthened cybersecurity defenses through various ways such as anomaly detection, predictive analytics, and automated incident response, the same technologies are also ...
I do not believe in cheating. Traditionally, the term “ braindump ” referred to someone taking an exam, memorizing the questions, and sharing them online for others to use. That practice is unethical ...
Abstract: Network security breaches continue to grow in both complexity and impact, making intrusion detection a critical component of modern defense strategies. Intrusion Detection Systems (IDS) ...
Body camera video captured the moment that Baltimore County police confronted a high school student after an A.I. gun detection system mistakenly determined that a student had a weapon. County leaders ...
A high school student in Baltimore County, Maryland was reportedly handcuffed and searched after an AI security system flagged his bag of chips as a possible firearm. Taki Allen, a student at Kenwood ...
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