Ben Haynes is a data scientist at Flashpoint, leveraging analytics and his cybersecurity expertise to solve practical problems in the industry. Previously, he worked at Risk Based Security, where he dedicated his time to enhancing and implementing the organization’s cybersecurity intelligence products. He is responsible for multiple innovative risk models for vulnerability and breach intelligence, as well as pioneering ways to make that intelligence actionable for clients.

Ben earned his Bachelor of Science degree in Astronomy & Planetary Sciences from Stony Brook University, and subsequently a Master of Mathematical Sciences, specializing in Statistics, from Virginia Commonwealth University. He is an amateur archivist, data hoarder, and prolific collector of hobbies.
X (Twitter): @atbenhaynes

Prioritization Myths Busted with Better Vulnerability Data (<– add to your schedule)

A good prioritization plan should let you know where to start when tackling risk. And yet, people don’t know where to start when developing a good prioritization plan! Even worse, we make a number of bad assumptions when trying to navigate this labyrinth.

Which method is the best? Are many methods better than one? How many is too many? What does “best” even mean?

Ask 10 different practitioners these questions and you might get 10 different answers. There’s no better example of this situation than with the plethora of vulnerability prioritization methods available today. Luckily, we’ve been able to collect an unprecedented amount of data on vulnerabilities, and it’s taught us a lot about what makes sense, and what doesn’t.

Join us as we use this vulnerability data to dispel myths, avoid pitfalls, and conjure some solid recommendations that will put you on a better path.

Come see Ben Haynes at RVAsec 13!