Artificial intelligence
How to find out if your AI vendor is a security risk
One of the most pressing concerns with AI adoption is data leakage. Consider this: An employee logs into their favorite AI chatbot, pastes sensitive corporate data, and asks …
Excessive agency in LLMs: The growing risk of unchecked autonomy
For an AI agent to “think” and act autonomously, it must be granted agency; that is, it must be allowed to integrate with other systems, read and analyze data, and have …
The shift to identity-first security and why it matters
In this Help Net Security interview, Arun Shrestha, CEO at BeyondID, discusses how AI is transforming secure access management for both attackers and defenders. He discusses …
The rise of compromised LLM attacks
In this Help Net Security video, Sohrob Kazerounian, Distinguished AI Researcher at Vectra AI, discusses how the ongoing rapid adoption of LLM-based applications has already …
Forward-thinking CISOs are shining a light on shadow IT
In this Help Net Security interview, Curtis Simpson, CISO and Chief Advocacy Officer at Armis, discusses how CISOs can balance security and innovation while managing the risks …
Inside the AI-driven threat landscape
In this Help Net Security video, Nick Barter, Chief Strategy Officer at Nothreat, discusses how AI is no longer just a tool for defenders, it’s now a powerful weapon in the …
Generative AI is reshaping financial fraud. Can security keep up?
In this Help Net Security interview, Yinglian Xie, CEO at DataVisor, explains how evolving fraud tactics require adaptive, AI-driven prevention strategies. With fraudsters …
EU invests €1.3 billion in AI and cybersecurity
The European Commission has approved the 2025-2027 Digital Europe Programme (DIGITAL) work program, allocating €1.3 billion to advance key technologies essential for the EU’s …
Two things you need in place to successfully adopt AI
Organizations should not shy away from taking advantage of AI tools, but they need to find the right balance between maximizing efficiency and mitigating organizational risk. …
How to recognize and prevent deepfake scams
Deepfakes are a type of synthetic media created using AI and machine learning. In simple terms, they produce videos, images, audio, or text that look and sound real, even …
A CISO’s guide to securing AI models
In AI applications, machine learning (ML) models are the core decision-making engines that drive predictions, recommendations, and autonomous actions. Unlike traditional IT …
Review: The Developer’s Playbook for Large Language Model Security
With the adoption of large language models (LLMs) across industries, security teams often play catch-up. Many organizations are integrating GenAI into customer interactions, …
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