|Course Name||Certified Cyber Threat Intelligence Analyst|
Today’s secure environment will have vulnerabilities in it tomorrow, so an organization cannot allow itself to become complacent. In this course, we’ll introduce you to the 8 phases of threat intelligence.
In today’s cybersecurity landscape, it isn't possible to prevent every attack. Today’s attackers have significant funding, are patient, sophisticated, and target vulnerabilities in people and processes as well as technologies. With organizations increasingly relying on digitized information and sharing vast amounts of data across the globe, they have become easier targets for many different forms of attack.
As a result, every company’s day-to-day operations, data and intellectual property are seriously at risk. In a corporate context, a cyber attack can not only damage your brand and reputation, it can also result in the loss of competitive advantage, create legal/regulatory noncompliance and cause steep financial damage.
Cyber threat intelligence (CTI) is an advanced process enabling organizations to gather valuable insights based on analysis of contextual and situational risks. These processes can be tailored to the organization’s specific threat landscape, industry, and market.
This intelligence can make a significant difference to organizations' abilities to anticipate breaches before they occur. Giving organizations the ability to respond quickly, decisively and effectively to confirmed breaches allows them to proactively maneuver defense mechanisms into place, prior to and during the attack.
In this course, we’ll introduce you to the 8 phases of threat intelligence:
Hunting - The goal of hunting is to establish techniques to collect samples from different sources that help to start profiling malicious threat actors.
Features Extraction - The goal of Features Extraction is to identify unique Static features in the binaries that help to classify them into a specific malicious group.
Behavior Extraction - The goal of Behavior Extraction is to identify unique Dynamic features in the binaries that help to classify them into a specific malicious group.
Clustering and Correlation - The goal of Clustering and Correlation is to classify malware based on Features and Behavior extracted and correlate the information to understand the attack flow.
Threat Actor Attribution - The goal of Threat Actors is to locate the threat actors behind the malicious clusters identified.
Tracking - The goal of tracking is to anticipate new attacks and identify new variants proactively.
Taking Down - The goal of Taking down is to Dismantled Organized Crime Operations.
69 Lectures and 9.5 Hours
Full lifetime access
Access on mobile and TV
Certificate of Completion
120 students enrolled
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