All You Need To Know About Threat Intelligence Monitoring
When it comes to Threat Intelligence Monitoring, machine learning is used to detect and warn about threats on a network. Machine learning processes analyze data and generate a list of suspicious activities that need further analysis.
As the amount of data increases exponentially, AI tools are becoming necessary to keep up with this growth. Threat intelligence software is playing an important role in protecting enterprises from cyber threats and keeping them ahead of their competitors.
There are three key components of a threat intelligence monitoring system:
– Search for threats by monitoring and parsing network traffic, social media, e-mails, user inputs, etc.
– Analyze the results to identify trends and potential risks to an organization.
– Alert on activities with high-risk potential.
What is threat intelligence analysis?
Threat intelligence analysis is the investigation and understanding of a threat, where data analysis can help to identify incidents and anomalies.
This process allows companies to create actionable intelligence that can then be used for a variety of purposes.
The purpose is to make sure that their business continuity plans are effective enough to prevent an attack from happening in the first place or minimize its impact if it does happen.
Threat intelligence analysts come from various backgrounds including law enforcement, military, or private sector. They use their skill-set to analyze different information sources to generate new insights about a given threat through data mining.
What are the sources of threat intelligence?
As cyber-attacks get more sophisticated, organizations must have a way of keeping up with the latest security threats. Security intelligence is a key part of the cyber threat detection process.
There are three main sources of threat intelligence:
External Threat Intelligence:
External threat intelligence refers to data gathered from sources outside your company’s network, such as SDIs (Security Documentation Incidents) and SCADA DOCs (Supervisory Control And Data Acquisition Documents).
Internal Threat Intelligence:
Internal threat intelligence is data that is gathered from sources within your company’s network but not accessed through normal means. This type of data could include reports or analysis done by your company’s own security team or by third-party vendors.
Natural Sources:
The term ‘natural source’ refers to any form of information that can be collected about an organization.
How do you create a threat intelligence program?
Creating a threat intelligence program starts with having a solid foundation of threat data. The foundation of your program should include sources such as: malicious URLs, active phishing campaigns, suspicious IP addresses, and known malware variants.
As for the data collection process, it should be done regularly by using third-party sources such as Google Alerts and Sysdig Monitor.
Threat intelligence programs can also be used to identify potential adversaries to make better decisions about your company’s security strategy and increase your chances of success in cyber security battles.
Conclusion
Threat intelligence monitoring is a complicated process that requires the right combination of skill and tools. With AI assistance, it becomes significantly easier to search through vast troves of information and identify potential threats.
AI threat intelligence monitoring is still in its infancy stage. As it evolves, more advanced options will be available for companies that need to monitor their clients’ networks and servers for security threats.
It’s no secret that cybercriminals are constantly trying to devise new ways of attacking businesses. It’s a constant struggle for organizations to identify these attacks before they happen or even worse, let them happen.
Using AI for Threat Intelligence Monitoring offers an advantage over humans as it can search through vast troves of information and make connections between events faster than people can do so manually.
