Episode 114 - The Good, Bad, and Ugly of Threat Intelligence with Patrick Coughlin
In this episode of the Hacker Valley Studio podcast, hosts Ron and Chris interview Patrick Coughlin, Co-Founder and CEO of TruSTAR. Patrick began his career as a security analyst in Washington D.C. and the middle east. By working with government contractors, multinational corporations, and counter-terrorism units, Patrick learned that the biggest challenge that security analysts have is retrieving the needed information from disparate data sources. This discovery led Patrick to founding TruStar. Patrick’s focus is to help organizations automate the collection and curation of threat intelligence data.
Patrick’s analytical prowess originated from working at Booz Allen Hamilton where he learned a fundamental skill that all cybersecurity analysts should have - how to put together a slide deck. This skill helped Patrick articulate the importance of threat intelligence to leaders in the government and private sector.
As the episode progresses, Patrick details the differences between threat intelligence requirements for national security and enterprise. For enterprise threat intelligence programs, the goal is to accelerate automation of detection and rarely attribution. Patrick also mentions automation is only as effective as the data is cleaned, normalized, and prioritized.
What about the good, bad, and ugly of threat intelligence? Patrick describes that an organization can thrive by leveraging internal intelligence. This can be overlooked when organizations are fixated on buying threat data feeds and subscribing to ISAC feeds. Most enterprise organizations have a detection and response stack that is constantly providing information about threats relevant to their organization - which serves as great threat intelligence data.
Chris and Ron ask Patrick about the science vs art aspects of cybersecurity and threat intelligence. Patrick describes that there is room for both art and science in threat intelligence. While new concepts are being discovered, there is art in finding the needle in the haystack. However, at some point, intuition can be described into steps that a machine can repeat. For example, after years of analytical practice an analyst can describe how and why they are tagging threat intelligence related data in such a way that can be repeated by other analysts or automation.
This episode covers an abundance of tactics and techniques for threat intelligence analysts. Patrick describes the best place to begin automating threat intelligence is detection. An analyst can ask the question, “How do I get sources of known bad indicators into my detection stack so that I could drive high fidelity detections?”. As false positives decrease, your mean time to detection (MTTD) and resolution (MTTR) decrease which makes your threat intelligence and security operation team members more effective.
0:00 - Intro
1:53 - This episode features Patrick Coughlin, Co-Founder and CEO of TruSTAR
2:30 - Patrick’s background and start as a security analyst
5:19 - How to automate threat intelligence while reducing analyst fatigue
7:05 - How Patrick cultivated his analyst prowess
8:43 - Articulating threat intelligence to government and enterprise organizations
11:09 - Can a threat intelligence program be automated?
17:21 - Patrick’s experience of “good” and “bad” threat intelligence programs
20:31 - Logic vs Intuition in threat intelligence
27:04 - Artificial Intelligence and Machine Learning to make threat intelligence decisions
28:42 - Where to start when automating threat intelligence
30:02 - How to stay in touch with Patrick Coughlin
Connect with Patrick Coughlin on LinkedIn
Link to Patrick’s company TruSTAR
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