How epidemiology can solve the people problem in security.

Doug Helton, Chief Strategy Officer & VP Intelligence, King & Union

June 25, 2020

4 Min Read

Like many others, I've alternated between a mild obsession with learning everything about COVID-19 and never wanting to hear about it again. I recently watched the governor of Massachusetts on CBS News' Face the Nation. He spoke of Partners in Health's use of contact tracing in Ebola- and Zika-stricken countries, and then said something that struck me: "It's not theoretical. They've done it before. They know how to do it." His message was: It works.

I began reading about how contact tracing worked for outbreaks like Ebola and researched what other countries are doing. In Israel, the Ministry of Health has released an app that uses cellular GPS data to provide alerts when people nearby are documented carriers of COVID-19. In the private sector, Google and Apple developed a contact-tracing app for the billions of people worldwide who use iOS and Android.

The World Health Organization (WHO) describes a three-step process for contact tracing: Contact ID, then Listing (investigating who individuals with confirmed cases had contact with), and finally, Follow-up. It hit me that this is eerily similar to what I have spent my career as an intel analyst doing.

Identification
Threat intelligence analysts use any number of tools for threat identification, plus additional tools to store these indicators. Traditionally, analysts use their own spreadsheets and Word documents as living workspaces or scratch pads to begin investigations. As they collaborate with others inside the organization, there is an enormous amount of cutting and pasting information from one tool to another. Analysts bounce from TIP to SIEM to instant messages to email in order to collect and stitch together analysis. It sounds crazy, but this is how modern, "digitally transformed" businesses are still identifying and tracking threats today.

Listing
This is where the investigation truly begins — tracing the activity of a malicious actor. Moving from aggregation of indicators to analysis, analysts ask themselves "what does the data tell us?" Unfortunately, collaboration inside and outside the organization is fragmented. Information sharing is happening in pieces, across multiple tools, with no single thread for each investigation. True collaboration, with a single set of unified data, is simply not happening. Analysts must find their own way to piece together the "big picture" and visualize exactly what happened.

Follow-up
This is where the process is completely broken for intel analysts. A malicious threat found a month ago, which was investigated internally and dismissed as low-level, may re-emerge as part of a larger campaign. However, capturing that earlier threat investigation is almost impossible because the analysts would need to search through disparate tools and communication methods. The "chain of custody" for who knew what and when, as well as what was sufficiently analyzed and what was missed, is nonexistent. Other than the final event annotation and a handful of indicators with partial context, there is no collective history of knowledge to build upon. Teams must essentially start their analysis over.

What Contact Tracing for Threat Intel Reveals
While I was impressed by what I learned about contact tracing's success as a public health tool, I am left with a nagging feeling that in the security business, our own "contact tracing" reveals that our tools and processes are broken; it's no longer acceptable from an investigation standpoint, for risk management, and especially not from a human resources perspective. Highly capable, skilled, and, frankly, expensive employees are still operating in silos, stuck in the land of a thousand tools, with limited information sharing, and no means for true collaboration. This only increases risk to the business by extending investigations and frustrating all involved.

How can we ever solve the people problem in security when this is the environment we have created for our most experienced, expensive resources? Just like with forensic evidence, start by assessing your business's capability to maintain a "chain of custody" of analysis. Ask yourself the following questions:

● Where does past analysis live?
● Can our organization reasonably answer "who knew what and when" for intelligence support to investigations?
● Where does cross-team collaboration occur? Does it support easy continuity of knowledge as people enter and leave investigations and teams?

If you find that you're unable to answer these questions confidently, start small. Discuss and document a process for how multiperson analysis should occur. Identify and use a single location for analysis to be centrally stored — ideally, one that is easily searchable. Be sure this includes analysts' contemporaneous notes and indicators, as they may be helpful in future investigations. Finally, practice. Have an analyst attempt to re-create another analyst's work, and assess where gaps in documentation, process, or access to intelligence sources may lie. Over time, improve on this by focusing on efficiency and completeness of analysis.

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About the Author(s)

Doug Helton

Chief Strategy Officer & VP Intelligence, King & Union

Doug Helton is chief strategy officer and VP of Intelligence at King & Union, a cybersecurity company based in Alexandria, VA, that has built and designed Avalon, the industry's first cyber analysis platform. His passion for intelligence operations began as a signals intelligence mission manager in the Air Force. This led to a career in law enforcement investigations and strategic counterespionage activities with the Air Force Office of Special Investigations. After spending over a decade in the defense intelligence community, Doug transitioned to the commercial sector where he continued to pursue his passion for building and maturing intelligence operations.

He has led threat intelligence and threat hunting teams in a global Fortune 10 technology company, an investor-owned power generation and utility company supporting 5 million customers, and launched professional services aimed at maturing intelligence capabilities of Fortune 100 firms for a Cyber Threat Intelligence startup.

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