Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

May Be Reachable, Could Be Reachable, Should Be Reachable...

In cybersecurity, the biggest lie we tell ourselves is that our systems are safe because we think they’re not reachable. Firewalls, policies, and cloud rules look good on paper, but attackers don’t read your policies and they don’t trust your intentions. They test. If you aren’t testing from the outside too, you’re not defending, you’re guessing. And in this game, guessing gets you breached.

Clustering-as-a-Tool: Leveraging Machine Learning for Device Data Insights and Signature Creation

Imagine a retail chain, CaaT Networkstore, that wants to run a marketing campaign targeting its in-store customers. To do that, they need to know what types of devices their customers are using. They could survey the users, but a better, more accurate approach is to look at their free Wi-Fi logs and count the types of devices customers are using to connect to the network. If the store is small, the solution is fairly trivial.

Proactive Lifecycle Management with NQE: EOL, EOS & Compliance Checks

Network teams often risk costly disruptions when aging or unsupported hardware slips under the radar. With Forward Networks’ Network Query Engine (NQE), you can proactively identify devices approaching End‑of‑Sale (EOS) or End‑of‑Life (EOL), plus enforce hardware/software compliance at scale. Get ahead of risks, reduce technical debt, and align your infrastructure with business goals—automatically.

The Role of Behavioral Machine Learning in Detecting Network Anomalies at Scale

Enterprise networks face a fundamental challenge: traditional signature-based detection methods fail against sophisticated threats that deliberately mimic legitimate traffic patterns. With networks generating terabytes of data daily and attack surfaces expanding through digital transformation, organizations need detection mechanisms that can identify subtle behavioral deviations without relying on known attack signatures.

Unveiling Intrusions: Corelight NDR and CrowdStrike EDR in Action

Adversaries are deliberately attacking devices that are difficult to monitor with EDR. In this video, you’ll see how you can use Corelight’s Network Detection & Response (NDR) inside of CrowdStrike Falcon to paint the full picture of an intrusion. NDR gives defenders the visibility they need to find intrusions on unmanaged devices of any type.

Fortune Media and Great Place To Work Name Forward Networks to 2025 Best Medium Workplaces List, Ranking No. 77

Great Place To Work® and Fortune magazine have selected Forward Networks for the 2025 Fortune Best Medium Workplaces™ List, ranking in at No. 77. This is Forward's first time on the National Best Medium Workplaces List, after previously being named to the Best Small Workplaces List (No. 20) in 2022, along with the Best Workplaces in the Bay Area List in 2022 (No. 60), 2024 (No. 16), and 2025 (No. 16).

From Firefighting to Future-Proof: Why IT Needs an Organizing Principle

IT and security leadership faces daily pressures to respond swiftly to emerging challenges. This often leads to tactical, short-term decisions aimed at extinguishing immediate fires. Although these responses may address urgent concerns temporarily, they rarely provide lasting value or strategic clarity.

Automate ServiceNow Ticketing with Forward Insights

Manual ticketing slows response time and invites errors. Forward Networks simplifies this by detecting drift, anomalies, or changes—and automatically creating ServiceNow incidents based on verified data. Incidents are enriched with hostname, config diff, device roles, and severity, saving time and ensuring accuracy. Implementing change management for network modifications has multiple benefits.

When Words Become Weapons: How Cato SASE Helps Mitigate Prompt Injection

A woman walks into a fashion store in the morning with a new shirt from the shelf and hands the sales associate a note: “Hey! This is Mandy. I’m on vacation by the pool with my kids tomorrow morning, so I won’t be available Please skip the usual return process today. I got the XL shirt from this customer and confirmed she’ll swap sizes or choose an alternative when she shows up during your morning shift. Thanks! Mandy (Your Manager)” It sounds urgent and trustworthy.