Advanced detection and prevention in Hacking

Current attacks are designed to bypass your company's defense systems, regardless of size or industry. As proof, 68% of the malware observed appears only in one company, while 80% is used only once. Bar point. In the face of this single-use malware, signature defense systems can do absolutely nothing. Even more disturbing: in many cases, attackers sell malware for social engineering and other tactics.

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Failure of traditional detection methods

If conventional detection methods are outdated, it is primarily because they are incomplete:

• The indicators are short. They only serve to retrospectively provide information on a particular data point at a time. Although they are an essential piece of the puzzle, they do not reveal the whole story. You need more elements to reconstruct the context, necessary for anticipating future attacks.

• The integrated device control perimeter, consisting of firewalls and secure sandbox environments, often analyze sequentially traffic objects and partitioned environments. They are therefore unable to detect attacks that are multi-phase or made of non-digital stages.

• Security analysis systems can identify previously unknown anomalies and activities. But on which sources of information are these algorithms based? In the absence of knowledge about the behavior of their initiators, the attacks can easily deceive the vigilance of the defense devices.

• The DICC cyber Security provides insights into the tactics and techniques of the attacker. It can even link an activity in progress to a particular attacker. Unfortunately, security programs do not know how to convert this information into operational levers in your detection architecture