Security Visualization. Data Science. Big Data. Insights.
San Francisco, California
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Raffael Marty is one of the world's most recognized authorities on security data analytics and visualization. Raffy is the founder and CEO of pixlcloud, a next generation visual analytics platform. With a track record at companies including IBM Research and ArcSight, he is thoroughly familiar with established practices and emerging trends in big data analytics. He has served as Chief Security Strategist with Splunk and was a co-founder of Loggly, a cloud-based log management solution. Author of Applied Security Visualization and frequent speaker at academic and industry events, Raffy is a leading thinker and advocate of visualization for unlocking data insights. For more than 14 years, Raffy has worked in the security and log management space to help Fortune 500 companies defend themselves against sophisticated adversaries and has trained organizations around the world in the art of data visualization for security. Zen meditation has become an important part of Raffy's life, sometimes leading to insights not in data but in life.
Raffael blogs at:
December 13 2019read more
February 26 2017read more
February 26 2017read more
Raffael Marty blogs at:
I was just reading an article from Forrester research about “Artificial Intelligence Is Transforming Fraud Management”. Interesting read until about half way through where the authors start talking about supervised and unsupervised learning. That’s when they lost a lot of credibility: Supervised learning makes decisions directly. Several years ago, Bayesian models, neural networks, decision trees, […]
In my last blog post I highlighted some challenges with a research approach from a paper that was published at IEEE S&P, the sub conference on “Deep Learning and Security Workshop (DLS 2019)“. The same conference featured another paper that spiked my interest: Exploring Adversarial Examples in Malware Detection. This paper highlights the problem of […]
Over the weekend I was catching up on some reading and came about the “Deep Learning and Security Workshop (DLS 2019)“. With great interest I browsed through the agenda and read some of the papers / talks, just to find myself quite disappointed. It seems like not much has changed since I launched this blog. […]
Before even diving into the topic of Causality Research, I need to clarify my use of the term #AI. I am getting sloppy in my definitions and am using AI like everyone else is using it, as a synonym for analytics. In the following, I’ll even use it as a synonym for supervised machine learning. […]
Join me for my talk about AI and ML in cyber security at BlackHat on Thursday the 9th of August in Las Vegas. I’ll be exploring the topics of artificial intelligence (AI) and machine learning (ML) to show some of the ‘dangerous’ mistakes that the industry (vendors and practitioners alike) are making in applying these […]
Late June, my alma mater organized an event in Brooklyn with the title: “ETH Meets New York”. The topic of the evening was “Security Technologies Enabling the Future: From Blockchain to IoT”. I was one of the speakers talking about “AI in Practice – What We Learned in Cyber Security”. The video of the talk […]
Another year, another Security Analytics Summit. This year Kaspersky gathered an amazing set of speakers in Cancun, Mexico. I presented on AI & ML in Cyber Security – Why Algorithms Are Dangerous. I was really pleased how well the talk was received and it was super fun to see the storm that emerged on Twitter […]
I just read an article on virtual reality (VR) in cyber security and how VR can be used in a SOC. Image taken from original post The post basically says that VR helps the SOC be less of an expensive room you have to operate by letting a company take the SOC virtual. Okay. I […]
I have been talking about artificial intelligence (AI) and machine learning (ML) in cyber security quite a bit lately. My latest two essays you can find as guest posts on TowardsDataScience and DarkReading. Following is a summary of the latest AI and ML posts with quick summaries: Machine Learning and AI – What’s the Scoop […]
Previously, I started blogging about individual topics and slides from my keynote at ACSAC 2017. The first topic I elaborated on a little bit was An Incomplete Security Big Data History. In this post I want to focus on the last slide in the presentation, where I posed 5 Challenges for security with big data: […]
You are an enterprise software startup. You are in the security space. Your company is still early, trying to sign its first 10, maybe 40 customers. What should you be doing for marketing? What works? What doesn’t? What approaches yield the biggest return for your investment? These are some questions that I have been pondering […]
Earlier today I was giving the keynote at ACSAC 2017. This year’s theme of the conference is big data for security. As part of my keynote, I talked about the history of big data in security. Following is the slide I put together: This is by no means a complete picture, but I tried to […]
Last week I organized the 4th iteration of the Security Chat – an informal gathering of security people in Zurich. The format are 10-15 minute presentations that anyone can submit for. In good tradition, we had a great line up again: Steve Micallef – OSINT and The New Perimeter – his tool is available for […]
After my latest blog post on “Machine Learning and AI – What’s the Scoop for Security Monitoring?“, there was a quick discussion on twitter and Shomiron made a good point that in my post I solely focused on supervised machine learning. In simple terms, as mentioned in the previous blog post, supervised machine learning is […]
The other day I presented a Webinar on Big Data and SIEM for IANS research. One of the topics I briefly touched upon was machine learning and artificial intelligence, which resulted in a couple of questions after the Webinar was over. I wanted to pass along my answers here: Q: Hi, one of the biggest […]
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