Cybersecurity Firms on Real-Time Network Traffic: Your Early Cyber Threat Radar

It takes approximately 200 days to detect breaches. In addition to this, the response and containment may also take days to months, even after detection. As such, this is risky in a world where an attack occurs within minutes. That is why even after significant investments in security tools, the threats can pass unnoticed even by those hardworking cybersecurity firms.   

That is why there is now an increasing number of security teams from cybersecurity firms that turn to real-time network traffic analysis. The method assists in identifying the threats as they occur, rather than when they have occurred. It is like a warning system of the cyberquakes, grab the rumbles before the big one penetrates.  

Cybersecurity Firms on Real-Time Network Traffic Your Early Cyber Threat Radar

What Makes Network Traffic So Powerful? 

Traffic on networks is continuous, raw, and contains useful information. Therefore, it demonstrates real-time interactions between people, systems, and applications and shows changes to cybersecurity firms as they emerge, whether in the cloud or on-prem. Live traffic provides new information which is unlike the traditional tools that are based on old logs. Today, it is made even stronger by behavioral analytics and automation. Such older systems as heritage SIEMs fail to obtain this since they excessively rely on historical data.  

Red Flags Cybersecurity Firms Can’t Miss 

Early indicators of intrusion happen on live traffic analysis. Although these indicators are not uncommon, in live traffic monitoring, the security team is able to prevent attacks at an early stage. The following are examples that reliable cybersecurity firms should not miss.  

Strange login patterns 

Repeated failed logins from distant locations or odd hours can indicate brute-force attempts. 

Internal movement Cybersecurity Firms

Hackers moving laterally inside the system leave patterns in traffic. 

Unexpected access 

A user accessing unusual systems at odd times is suspicious. 

SIEM Alone Won’t Cut It 

SIEM tools monitor logs, and logs do not make up the entire story. These logs represent what happened and are usually not in real-time activity. Hence, an intruder might have already completed an attack even before the system issues a warning. This is the reason why the integration of SIEM logs with live network traffic is important for trusted cybersecurity firms. It is because it forms a multi-layered security hence teams receive faster, smarter alerts that leads to quicker response and reduced damage.  

Smart Tools for Cybersecurity Firms 

Most security departments are low-budget and low-staffed. Therefore, they require something better than data. Instead, they need smarter assistance. Artificial intelligence-based traffic analysis bridges that gap. They take advantage of AI in the form of behavior-based models to identify genuine threats. This lessens noise and makes teams of cybersecurity firms concentrate. Automation does repetitive work, enabling an analyst to think and act more critically.  

The Core of a Human-AI Security Team 

Live network traffic analysis is key to building a Human-Augmented SOC. This is not about getting rid of people but rather about assisting them. Analysts become faster, more situational, and able to act promptly. Such systems integrate traffic, log, and behavior signals. This generates an immersive real-time look beyond old tools’ capabilities. This is because as logs can provide you with a report, the traffic informs you about what’s going on. Although both are essential to cybersecurity firms.  

See the Storm Before It Hits 

Since cyber threats strike fast, your response must be faster. Real-time traffic analysis provides transparency, swiftness, and advanced notice. In security, a few minutes can spell the difference between business as usual and a massive breach. Here at EB Solution, we deal with cybersecurity, AI and IT management professionally. Is your business in need of help? 

Call us today!

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