Artificial intelligence
Review: Artificial Intelligence for Cybersecurity
Artificial Intelligence for Cybersecurity is a practical guide to how AI and machine learning are changing the way we defend digital systems. The book aims to explain how AI …
One in three security teams trust AI to act autonomously
While AI adoption is widespread, its impact on productivity, trust, and team structure varies sharply by role and region, according to Exabeam. The findings confirm a critical …
SWE-agent: Open-source tool uses LLMs to fix issues in GitHub repositories
By connecting powerful language models like GPT-4o and Claude Sonnet 3.5 to real-world tools, the open-source tool SWE-agent allows them to autonomously perform complex tasks: …
54% of tech hiring managers expect layoffs in 2025
54% of tech hiring managers say their companies are likely to conduct layoffs within the next year, and 45% say employees whose roles can be replaced by AI are most likely to …
Why CISOs are watching the GenAI supply chain shift closely
In supply chain operations, GenAI is gaining traction. But according to Logility’s Supply Chain Horizons 2025 report, many security leaders remain uneasy about what that means …
When AI agents go rogue, the fallout hits the enterprise
In this Help Net Security interview, Jason Lord, CTO at AutoRABIT, discusses the cybersecurity risks posed by AI agents integrated into real-world systems. Issues like …
Strategic AI readiness for cybersecurity: From hype to reality
AI readiness in cybersecurity involves more than just possessing the latest tools and technologies; it is a strategic necessity. Many companies could encounter serious …
Package hallucination: LLMs may deliver malicious code to careless devs
LLMs’ tendency to “hallucinate” code packages that don’t exist could become the basis for a new type of supply chain attack dubbed …
The quiet data breach hiding in AI workflows
As AI becomes embedded in daily business workflows, the risk of data exposure increases. Prompt leaks are not rare exceptions. They are a natural outcome of how employees use …
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 …
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