Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Behavioral Analysis in Cloud Workload Protection: Why Runtime Detection Is Now Mandatory

Cloud environments don’t follow the same rules traditional data centers did. Workloads spin up in seconds, containers live and die within a single request cycle, serverless functions execute without a persistent footprint, and infrastructure scales faster than any manual security process can track. The security problem this creates isn’t just about scale. It’s about visibility.

How Fidelis Network Delivers Forensic-Level Visibility Across Hybrid Environments

Hybrid environments combine on-premises data centers with public cloud platforms like AWS, Azure, and GCP. This creates complex east-west traffic and north-south flows where advanced cyber threats hide in encrypted tunnels. Fidelis Network addresses this challenge with patented Deep Session Inspection (DSI) technology. DSI captures communication sessions across monitored network segments, recursively decodes nested protocols, data, and extracts network forensic evidence for hybrid networks.

How Can Network-Based Detection Help Stop Zero-Day Exploits?

Zero-day exploits rarely announce themselves. There is no public advisory yet. No CVE identifier. No detection signature sitting inside a rule library. The vulnerability exists quietly until someone discovers it and unfortunately attackers often discover it first. Once that happens, the exploit becomes a test of visibility. Attackers do not usually rush into environments using zero-days. They explore carefully. They check which systems respond. They observe how security tools behave.

How Can Organizations Perform Hybrid Infrastructure Risk Assessment Effectively?

Most organizations didn’t design their infrastructure to become hybrid. It happened gradually. A few workloads moved to the cloud first. Development teams adopted new services. Meanwhile, some systems stayed exactly where they were — inside internal data centers — because moving them wasn’t practical. Over time the environment expanded. Now many organizations run applications across cloud platforms, private infrastructure, and on-premise systems at the same time.

What's New in Attack Surface Analysis: Predictions for 2026

You probably feel this already: the surface you’re responsible for no longer has edges. New assets appear without tickets. A team flips on a SaaS app and suddenly sensitive data, OAuth scopes, and public links widen your blast radius. Your scanners keep finding “stuff,” but little of it changes what you fix next week. That’s the gap attack surface analysis has to close in 2026—seeing more, yes, but mainly acting faster on what actually matters.

How Can Organizations Improve Threat Detection and Response in Hybrid Cloud Environments?

Hybrid cloud environments rarely start as a carefully planned architecture. Most organizations reach that point gradually. A few workloads move to the cloud first. Then development teams adopt additional cloud services. Meanwhile, critical systems continue running on-premise because they cannot easily migrate. Over time, the result is an enterprise hybrid cloud environment that spans multiple infrastructure layers. From a business perspective, this flexibility is useful.

Inside Fidelis CNAPP: A Detailed Look at the Features That Strengthen Cloud Security

Cloud adoption is accelerating, but cloud security complexity is growing just as fast. Security teams now manage hybrid workloads, multi-cloud environments, containerized applications, and sensitive cloud-native data. Traditional tools designed for on-prem environments often struggle to provide consistent visibility across these dynamic systems. This creates operational pressure. Teams deal with fragmented alerts, inconsistent policies, and uncertainty about real cloud risk exposure.

How Does Endpoint Deception Detect Attacks Before Damage Happens?

Let’s be honest. EDR has improved endpoint security dramatically over the last few years. It catches malware, blocks suspicious processes, and alerts on abnormal behavior. But no tool is perfect. Every detection model has blind spots. Attackers know this. They test environments. They move carefully. They use living-off-the-land techniques, stolen credentials, and legitimate tools. Sometimes, they move in ways that don’t immediately trigger alarms.

Detecting Living-off-the-Land Attacks in OT Networks

The most dangerous attacker inside your OT network right now may not have brought a single piece of malware with them. They’re using your own tools. Your own administrative credentials. Your own scheduled tasks and remote management utilities to execute malicious commands, move laterally, and quietly pre-position for a future disruption. This is living-off-the-land (LOTL), the dominant attack technique in critical infrastructure targeting today.