Artificial intelligence
Using AI to outsmart AI-driven phishing scams
Phishing scams used to be filled with awkward wording and obvious grammar mistakes. Not anymore. AI is now making it harder to distinguish what is real. According to Cofense, …
AI agents have access to key data across the enterprise
82% of organizations already use AI agents, but only 44% of organizations report having policies in place to secure them, according to SailPoint. While 53% are in the process …
CISOs prioritize AI-driven automation to optimize cybersecurity spending
Cybersecurity leaders and consultants identified AI-driven automation and cost optimization as top organizational priorities, according to Wipro. 30% of respondents are …
Why data provenance must anchor every CISO’s AI governance strategy
Across the enterprise, artificial intelligence has crept into core functions – not through massive digital transformation programs, but through quiet, incremental …
How AI agents reshape industrial automation and risk management
In this Help Net Security interview, Michael Metzler, Vice President Horizontal Management Cybersecurity for Digital Industries at Siemens, discusses the cybersecurity …
LlamaFirewall: Open-source framework to detect and mitigate AI centric security risks
LlamaFirewall is a system-level security framework for LLM-powered applications, built with a modular design to support layered, adaptive defense. It is designed to mitigate a …
AI forces security leaders to rethink hybrid cloud strategies
Hybrid cloud infrastructure is under mounting strain from the growing influence of AI, according to Gigamon. Cyberthreats grow in scale and sophistication As cyberthreats …
Digital trust is cracking under the pressure of deepfakes, cybercrime
69% of global respondents to a Jumio survey say AI-powered fraud now poses a greater threat to personal security than traditional forms of identity theft. This number rises to …
Many rush into GenAI deployments, frequently without a security net
70% percent of organizations view the pace of AI development, particularly in GenAI, as the leading security concern related to its adoption, followed by lack of data …
Be careful what you share with GenAI tools at work
We use GenAI at work to make tasks easier, but are we aware of the risks? According to Netskope, the average organization now shares more than 7.7GB of data with AI tools per …
AutoPatchBench: Meta’s new way to test AI bug fixing tools
AutoPatchBench is a new benchmark that tests how well AI tools can fix code bugs. It focuses on C and C++ vulnerabilities found through fuzzing. The benchmark includes 136 …
AI hallucinations and their risk to cybersecurity operations
AI systems can sometimes produce outputs that are incorrect or misleading, a phenomenon known as hallucinations. These errors can range from minor inaccuracies to …