They then portrayed a communication session initiated from a desktop to a webserver. Lines between them glowing as well, in various intensities and colors. Zoomed in, and as he zoomed, images of network devices started showing up. But then the presenter selected one of those intensifying lights. I got the feeling at first that this was canned video footage. Our presenter took the mouse, spun the globe a few degrees, and zoomed in "just like in the movies". Little pins of light would show up, intensify, dim. The screen in front of me started off with a wireframe globe. now picture having the tools from Minority Report! Yeah, you know the ones!
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Remember up top where I said how sterile and drab and monotonous staring a t a gazillion screens full of spreadsheets was? Well. Sorry Darktrace guys, but the person or people you can never let leave your company are the ones who wrote that AWESOMELY FUTURISTIC HUMAN INTERFACE!!! Oh My God! Not rules, made be people who think they know the system.Īll very impressive. The difference here is the heuristic learning. It learns what "normal" or "self" is for each device on your network. Darktrace will use it's learning algorithms to alert on traffic patterns that are NOT normal, and therefore should be looked at. After a period of mapping your environment's traffic patterns: Source/Destination/Port/Protocol/Time of day/Day of year/etc. they DO require network span or tap at critical aggregation points in your network, but they are able to watch, analyze, identify, and correlate your traffic over a period of time, and through machine learning techniques, develop and understanding of "normal traffic" within several contexts.ĭarktrace touts themselves to be your " Enterprise Immune System", in that like the human body's immune system, which has an understanding of "self" or what belongs or is normal versus contaminants like bacteria or viruses. They do not rely on rules or signatures or feeds from your network devices.
So let me take a second to say that the basis of their tools revolves around some very propeller head complex math that us mere mortals could never comprehend. Then a few months ago, a friend of mine convinced me to come out to a public demo of their system.
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But all big software stands on the shoulders of giants, right? They tried hard to influence me with their Pedigree: Harking from the minds ex-MI5 Security Intelligence employees, and funded by Autonomy founder Mike Lynch. So when an upstart Security Analytics company called me late in 2013 to show me what they've been working on, well. But the false positives are still rampant, and low and slow " Advanced Persistent Threats" are under the radar and typically don't show up here. I've seen the tools appear, mature, merge, morph, and become "fairly" useable. I've worked in or around these systems for the past two decades. Then hundred or thousands of rules process them to try to find deviations from " normal traffic". All the screens look the same, tables and columns, and rows of information about network and security events collected and forwarded by every device on the network. The sheer enormity and chaos of data that assaults them in the course of their workday is stressful and overwhelming. Little wonder the poor Security Analysts over at Target missed the evidence in front of them. I yawn even thinking of it.Īnd yet the men and women working this environment 24/7 are responsible for detecting that one little anomaly or sorting out the REAL bad traffic patterns from among the thousands of False Positive bad traffic patterns that show up on their screens hourly.
All showing spreadsheets or charts or static maps of the world. Sterile, brightly lit rooms of computer screens. I understand that most of you reading this have never worked in a Security Operations Center or SOC for short, but you've all seen them in movies.
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