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Artificial intelligence

AI
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 …

Michael Metzler
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
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 …

servers
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 …

identity, face, code, privacy, person
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 …

GenAI
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 …

GenAI
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
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
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 …

Camellia Chan
Deepfake attacks could cost you more than money

In this Help Net Security interview, Camellia Chan, CEO at X-PHY, discusses the dangers of deepfakes in real-world incidents, including their use in financial fraud and …

Artificial intelligence
AI vs AI: How cybersecurity pros can use criminals’ tools against them

For a while now, AI has played a part in cybersecurity. Now, agentic AI is taking center stage. Based on pre-programmed plans and objectives, agentic AI can make choices which …

Peter Garraghan
Why security teams cannot rely solely on AI guardrails

In this Help Net Security interview, Dr. Peter Garraghan, CEO of Mindgard, discusses their research around vulnerabilities in the guardrails used to protect large AI models. …

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