Continuous Threat Detection for Modern Cybersecurity

Stay protected with Sangfor’s Continuous Threat Detection. Get real-time insights, reduce risk, and prevent reinfection with powerful threat detection services.

Why You Need Continuous Threat Detection

Over 350,000 new malware threats are discovered every day. Even if your security solutions claim to block 99.5% of them, that still means around 1,750 malware strains can slip through daily. These undetected threats can cause serious harm to your network. Research shows that traditional threat detection services may miss up to 50% of new malware, making real-time threat detection and cybersecurity threat monitoring essential. Organizations must adopt continuous threat detection strategies to keep up with the increasing sophistication of cyber threats.

Security Teams Need to Shift Mindset

Modern threats require a new way of thinking. Security teams can no longer rely only on prevention. They need to assume threats are already inside the network and adopt real-time threat detection and advanced cybersecurity threat monitoring tools. Reducing Mean-Time-to-Identify (MTTI) and Mean-Time-to-Respond (MTTR) is key. The longer threats stay hidden, the more damage they cause. Continuous threat detection helps minimize that window, offering more chances to protect your data.

Work from Anywhere Scenario Solutions

Artificial Intelligence

Dynamic Behavior Modeling
Abnormal User Behavior (UEBA)
Integrated with Sangfor Neural-X for enhanced real-time threat detection

Complete Network Coverage

Covers North-South and East-West traffic
Analyzes network gateway logs, endpoint logs, and user authentication data
Improves threat detection services across the entire network

Detects Threats and Much More

Identifies known and unknown threats
Discovers rogue and unmanaged assets
Detects insider threats and threats that bypass other controls

All It Takes Is One Breach

Sangfor XDDR focuses on a coordinated response that kicks in when a breach occurs. Rather than waiting, it takes proactive action using powerful threat detection tools.

Scheduled or On-Demand Endpoint Secure Vulnerability Scanning

Vulnerability Scan Results Sent Back to NGAF for Closed-Loop Patching

Real-Time Threat Intelligence from Cloud-Based Neural-X

Network-Wide Threat Disposal

Cyber Command for Enhanced Threat Detection and Response

NGAF Integration Blocks Malware Communication

Enterprise Asset Tracking & Rogue Asset Detection

Endpoint Secure Protect Agent with Ransomware Honeypot Capability

Frequently Asked Questions (FAQs)

How do I detect malware?

With so many malware threats out there, detection can be challenging. Using a complete threat detection service like Sangfor Continuous Threat Detection, combined with network traffic analysis and real-time threat detection tools, is one of the best ways to uncover and stop these attacks.

How does malware evade detection?

Modern malware uses clever tactics like stalling, intelligent suspension, and fragmentation to bypass traditional systems. That’s why cybersecurity threat monitoring and real-time threat detection tools are more critical than ever for keeping your network secure.

What are the three pillars of effective threat detection?

To build a strong defense against modern cyber threats, organizations need a well-rounded approach. The three foundational pillars of effective threat detection include:

Defined Security Policies and Procedures : Clear guidelines ensure teams follow consistent practices in identifying and handling threats.
Comprehensive Risk Management : Evaluating and addressing potential vulnerabilities helps prioritize the most critical areas for real-time threat detection.
Regular Audits and Assessments : Ongoing evaluations of systems and strategies help improve cybersecurity threat monitoring and keep defenses updated.

What is Continuous Threat Detection?

Continuous Threat Detection refers to a real-time security approach that actively monitors networks for signs of malicious activity. It provides constant visibility across systems, helping identify risks as they emerge. Whether applied to enterprise networks or industrial environments, this method plays a key role in reducing the time it takes to detect and respond to threats supporting a proactive cybersecurity strategy.