Tag: Help Net Security

Google’s TurboQuant cuts AI memory use without losing accuracy

Large language models carry a persistent scaling problem. As context windows grow, the memory required to store key-value (KV) caches expands proportionally, consuming GPU memory and slowing inference. A team at Google Research has developed three compression algorithms: TurboQuant, PolarQuant,…

The AI safety conversation is focused on the wrong layer

Organizations have spent years accumulating fragmented identity systems: too many roles, too many credentials, too many disconnected tools. For a workforce of humans, that fragmentation was manageable. Humans log in, log out, and make decisions slowly enough that gaps in…

Novee introduces autonomous AI red teaming to hunt LLM vulnerabilities

Novee today introduced AI Red Teaming for LLM Applications for its AI penetration testing platform, designed to uncover security vulnerabilities in LLM-powered applications before attackers can exploit them. Enterprises are deploying AI-enabled software, from customer-facing chatbots to internal copilots and…

32% of top-exploited vulnerabilities are over a decade old

Exploitation timelines continued to compress in enterprise environments, with newly disclosed flaws reaching active use almost immediately and older weaknesses remaining active years after disclosure. (Source: Cisco Talos) Findings from Cisco Talos’ 2025 Year in Review show how attackers combined…

NVIDIA puts GPU orchestration in community hands

GPU-accelerated AI workloads now run on Kubernetes in the large majority of enterprise environments. Managing those workloads at scale has required specialized tooling that, until now, remained under vendor control. NVIDIA moved to change that at KubeCon Europe in Amsterdam…

Vulnerabilities from years ago still opening doors for attackers

Exploitation timelines continued to compress in enterprise environments, with newly disclosed flaws reaching active use almost immediately and older weaknesses remaining active years after disclosure. (Source: Cisco Talos) Findings from Cisco Talos’ 2025 Year in Review show how attackers combined…

AiStrike cuts alert noise with Continuous Detection Engineering

AiStrike has launched Continuous Detection Engineering, a capability that transforms how security operations teams manage detections, shifting from reactive alert triage to proactive, intelligence-driven optimization. The detection quality gap Security teams today are overwhelmed by alerts, but the root cause…