Artificial Intelligence (AI)

LLM hesitancy leaves open source risks in place

LLMs are getting less wrong when analyzing open source code, but they’re becoming more hesitant. That hesitation quietly preserves risks, […]

99 percent of organizations hit by SaaS or AI security incidents

A new report finds that 99.4 percent of 500 US CISOs surveyed experienced at least one SaaS or AI ecosystem […]

Enterprises claim visibility into AI but over half have shadow usage fears

According to new research, 90 percent of enterprises say they have visibility into their AI footprint, yet 59 percent have […]

Research shows malicious LLM prompts can be detected in real time

New research from cloud security platform Upwind and NVIDIA demonstrates how malicious LLM prompts can be detected with approximately 95 […]

Pentesting is prioritized but only 32 percent of attack surfaces are tested

While 95 percent of organizations say they rank pentesting as a top priority, they are currently testing only 32 percent […]

Unused permissions + AI agents = security risk

A new study finds that corporate workers leave 96 percent of their application access dormant, leading to a systemic risk […]

Using a single LLM tool for malware analysis leads to unreliable results

New research from SentinelOne’s SentinelLABS looks at why many AI-powered malware analysis workflows produce unreliable results. Single-tool LLM analysis often […]

Object storage is essential to private AI deployment

Many organizations are deploying private AI, also known as sovereign AI, to maintain control over the infrastructure that powers their […]

90 percent of people don’t trust AI with their data

A new report from Malwarebytes shows that while AI use is becoming increasingly common, 90 percent of respondents say they’re […]

Has Agile lost its way? How AI-powered DevSecOps can help [Q&A]

Agile. What started 25 years ago as a movement for responsiveness and customer value now often gets bogged down by […]