Building a modern and effective cybersecurity team today means efficiently sharing cybersecurity intelligence. Cyber threat intelligence helps organizations maximize their digital defenses, respond better when attacks do occur, and even inform how to improve the overall security program. In years past, the challenge was finding threat intelligence. Now, it is finding useful signals in the data. Here’s how to get started.
Cyber threat intelligence helps organizations maximize their digital defenses, respond better when attacks do occur, and even inform how to improve the overall security program. For many organizations, the cybersecurity intelligence information flows that feed into their security program are considerable and include open source threat intelligence such as news stories, communications on the open and Dark Web, proprietary threat intelligence feeds, vulnerability information, and more. The threat intelligence team has to parse hundreds of information sources, from open source threat intelligence gathering to premium intelligence feeds. Security teams are awash in so much data that finding the signal within the noise is the primary challenge, which is why teams are increasingly getting help from artificial intelligence and machine learning tools to identify actionable data points.
Enterprises use threat intelligence in a variety of ways, such as identifying threat actors, developing security programs and budgets, understanding what data types they have that needs protecting, and being aware of relevant regulatory requirements. By implementing a robust threat intelligence program, organizations can effectively manage the threats they face and the dangers that target their partners and suppliers.
This will help the internal security team to more efficiently identify and mitigate potential risks, improve their overall security posture, and maintain compliance with regulations.
The report discusses the elements of an effective threat intelligence program:
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