Why you need continuous threat detection
350,000 new malware strains everyday
- Your existing security controls can only block 99.5% of them.
- That means 1750 new malware attacks every day can bypass your security devices
New malware and virus variants are produced every day. According to AV-TEST Institute, there are over 350,000 new malware samples registered every day. So, you can imagine that if your existing security controls can block 99.5% of the new malware every day, there are still more than 1,750 malware threats that can bypass your security controls and get into your network. Even worse, studies show most threat detection services organizations' have in place are unable to prevent 50% of the new malwares. This is an alarming figure and should serve as a wake-up call for companies to take appropriate action when it comes to advanced threat detection, implementing network traffic analysis tools, and getting the latest and best threat hunting and detection software available.
Given the significant threat malware poses and the number of companies in need of threat detection software and services, many advanced threat detection programs exist today. With so many different programs that claim to combat malware and provide continuous threat detection, it can be overwhelming when deciding which one is the ideal solution for you. Sangfor Continuous Threat Detection is a leading threat detection software with a proven track record in keeping your security devices and network fully protected against all different types of malwares.
AI Weaponization increases Sophistication
- AI-Powered Concealment
- DGA Botnets
- AI Triggers
Artificial intelligence (AI) has become an integral technology to hackers, especially considering that it can be used to make cyber-attacks much quicker and efficient. In fact, AI is already being utilized to crack passwords a lot quicker. Hackers have figured out how to weaponize AI, making malware more sophisticated. AI-powered concealment allows malware to conceal their malicious payload and bypass security detection. Domain Generation Algorithm (DGA) botnets can dynamically generate new and one-time domain names to connect to Command & Control servers. And AI triggers can now use verification techniques such as facial recognition to identify and attack targets.
Sandbox Evasion Techniques
Hackers have developed mature technologies to bypass threat hunting and threat detection by anti-virus and anti-malware sandboxes. These sandbox evasion technologies such as delaying execution, hardware detection, CPU detection, user detection, and environment detection are all too common techniques being employed by hackers today. Any of these methods can easily make malicious payloads invisible, fooling the sandbox, and evading detection. Of course, more than one technique is usually built into malware, making it tough to conduct advanced threat detection.
Security Teams Need to Shift Mindset
Prevention alone cannot stop attacks. Security teams must recognize that new threats require new paradigms and threat detection services to defend against them. Changing their mindset from keeping all attackers out of their network to assuming the hackers are already in their network will help develop more robust strategies to identify and stop attacks before they cause damage.
Understanding mean-time-to-identify (MTTI) and mean-time-to-Response (MTTR) is important. Security events can become breaches if they have months to spread throughout a network. Security teams need to find and fix any security gaps through threat hunting and detection to reduce MTTI and MTTR; the faster they can find and respond, the less damage a breach will incur.