Fortinet has warned customers that threat actors are still actively exploiting a critical FortiOS vulnerability that allows them to bypass two-factor authentication (2FA) when targeting vulnerable ...

The US Cybersecurity and Infrastructure Security Agency (CISA) has added a recently disclosed security flaw affecting multiple Fortinet network security and management platforms to its known exploited ...

Fortinet is rated a Buy with a $98 price target, implying a 23% upside driven by robust double-digit growth and AI-powered tailwinds. FTNT reported FQ3 2025 revenue of $1.72B (+14% YoY) and EPS of ...

Abstract: Nowadays, load balancing is more and more important for huge data centers. Most data centers usually adopt a software-based load balancer (LB), which consumes too many server resources and ...

Three exploitation campaigns targeting Cisco and Palo Alto Networks firewalls and Fortinet VPNs originate from IPs on the same subnets, GreyNoise has discovered. The threat intelligence firm initially ...

Fortinet, whose technologies are a popular target for attackers, has disclosed a critical, unauthenticated remote code execution vulnerability in its FortiSIEM platform. A proof-of-concept exploit for ...

You click on a product page and wait seconds just to see the first image load. But why didn’t the image load? Because it might have been lazy-loaded. Lazy loading ...

Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers. Since ...

I’m a Golang & Node.js Developer with 10+ years of experience in cloud and server architecture, specializing in AWS and ...

router for data-driven, workload-aware scheduling. Our router distributes queries across LLM instances by using a trainable responselength predictor and a novel formulation for estimating the impact ...

Abstract: This paper presents a model-agnostic predictive smart load balancer for microservices environments, utilizing machine learning to optimize load distribution and resource utilization. The ...