cybersecurity

What's patient privacy for? The Hippocratic Oath, considered one in all the...

At the identical time, corporations must strengthen the safety of their AI models and data to scale back exposure to manipulation from AI-enabled malware. Such risks could include, as an illustration, prompt injections,...

my stuff, then you realize that not too way back, I wrote a chunk concerning the Model Context Protocol (MCP)—explaining what it's, how it really works, and even walking you thru constructing your...

Cyberattacks aren't any longer manual, linear operations. With AI now embedded into offensive strategies, attackers are developing polymorphic malware, automating reconnaissance, and bypassing defenses faster than many security teams can respond. This just isn't...

Agentic artificial intelligence (AI) represents the subsequent frontier of AI, promising to transcend even the capabilities of generative AI (GenAI). Unlike most GenAI systems, which depend on human prompts or oversight, agentic AI is...

rush to integrate large language models (LLMs) into customer support agents, internal copilots, and code generation helpers, there’s a blind spot emerging: security. While we concentrate on the continual technological advancements and hype...

The rise of cybercrime has made fraudulent webpage detection a necessary task in ensuring that the web is protected. It is clear that these risks, equivalent to the theft of personal information, malware, and...

For the reason that earliest days of cybercrime, healthcare data has been a primary goal. Until recently, most cyberattacks on hospitals followed a well-known pattern: ransomware groups would encrypt patient records and demand payment....