When organizations are building a solid cloud security guardrail for 2025 and beyond, they need both threat detection and ...

Oz picks up 27001:2022 certification to give its biometric matching and liveness detection customers confidence in its ...

Integration unifies security operations through centralized management to protect cloud environments with DTEX’s AI-powered insider risk management capabilities ...

Data security solutions identify unusual data movement and exfiltration attempts early, potentially mitigating the breach’s ...

With 82% of enterprises running hybrid cloud and AI compressing patch-to-exploit windows to 72 hours, batch-based detection ...

Among the most debated questions in the constantly changing mobile application development, whether to include root detection in the application is a seemingly important choice to both developers and ...

As digital-asset activity grows globally, cryptocurrency exchanges and trading platforms face increasing pressure to defend ...

Legacy data collection systems create blind spots that adversaries exploit with AI-driven attacks. Kam Amir, director of ...

Balanced SOC investment stops attacks detection tools miss, cutting false positives by 90% and improving threat response.

Cyberattackers integrate large language models (LLMs) into the malware, running prompts at runtime to evade detection and augment their code on demand.

Leading data-driven organizations balance protection and access as AI powers ahead.

The announcements, made at the annual AWS re:Invent 2025 conference in Las Vegas, included a preview launch of AWS Security ...