DtR Episode 83 - NewsCast for March 10th, 2014

03/10/14 • 34 min

Topics covered

Target CIO resigns, new central CISO and CCO roles created; but what's really going on here? - http://www.darkreading.com/attacks-breaches/target-begins-security-and-compliance-ma/240166451 & http://pressroom.target.com/news/target-reports-third-quarter-2013-earnings
City of Detroit employees' information (including SSNs, DoB, etc) are "at risk" because someone clicked something they shouldn't have - http://www.freep.com/article/20140303/NEWS01/303030085/Detroit-computer-security-breach
ComiXology was [big time] hacked, but it's all good because the passwords were 'cryptographically secured' but where's the transparency? - http://www.theregister.co.uk/2014/03/07/comixologys_phantom_zone_breached_by_evil_haxxor/
A North Dakota University System was hacked and now 290k students, employees and faculty (yes including SSNs) data is at risk ... or is it? - http://www.greenfieldreporter.com/view/story/8f909740809e48e9a5669de333418134/US--University-System-Hacked
NC State researchers have a genius new way to detect Android malware (hint: you look for C code) - http://www.computerworld.com/s/article/9246825/N.C._State_researchers_devise_tool_that_detects_Android_malware
The AARP (yes, that AARP) has decided that now is the time to post a bulletin to their system to teach retired persons how to make good passwords - http://www.aarp.org/home-family/personal-technology/info-2014/create-password-avoid-hacks-kirchheimer.viewall.html

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Topics covered

Target CIO resigns, new central CISO and CCO roles created; but what's really going on here? - http://www.darkreading.com/attacks-breaches/target-begins-security-and-compliance-ma/240166451 & http://pressroom.target.com/news/target-reports-third-quarter-2013-earnings
City of Detroit employees' information (including SSNs, DoB, etc) are "at risk" because someone clicked something they shouldn't have - http://www.freep.com/article/20140303/NEWS01/303030085/Detroit-computer-security-breach
ComiXology was [big time] hacked, but it's all good because the passwords were 'cryptographically secured' but where's the transparency? - http://www.theregister.co.uk/2014/03/07/comixologys_phantom_zone_breached_by_evil_haxxor/
A North Dakota University System was hacked and now 290k students, employees and faculty (yes including SSNs) data is at risk ... or is it? - http://www.greenfieldreporter.com/view/story/8f909740809e48e9a5669de333418134/US--University-System-Hacked
NC State researchers have a genius new way to detect Android malware (hint: you look for C code) - http://www.computerworld.com/s/article/9246825/N.C._State_researchers_devise_tool_that_detects_Android_malware
The AARP (yes, that AARP) has decided that now is the time to post a bulletin to their system to teach retired persons how to make good passwords - http://www.aarp.org/home-family/personal-technology/info-2014/create-password-avoid-hacks-kirchheimer.viewall.html

In this episode

Does is make sense, in a mathematical and practical senes, to look for 'probability of exploit'?
How does 'game theory' apply here?
How do intelligent adversaries figure into these mathematical models?
Is probabilistic risk analysis compatible with a game theory approach?
Discussing how adaptive adversaries figure into our mathematical models of predictability...
How do we use any of this to figure out path priorities in the enterprise space?
An interesting analogy to the credit scoring systems we all use today
An interesting discussion of 'unknowns' and 'black swans'
Fantastic *practical* advice for getting this data-science-backed analysis to work for YOUR organization

Guests

Lisa Leet - Lisa is a wife of 17 years, a mother of 5 years to boy/girl twins, and an employee of 7 years on the Information Security team at a Minneapolis-based financial services firm. She is also an intern at Stamford Risk Analytics (Stamford, CT), pursuing studies at Stanford University, prepping for her CISSP Exam on July 15th, taking MOOCs, and reading at least twelve books concurrently including a 1600-pager on Python. In her free time she volunteers on the Board of Directors for SIRA (Society of Information Risk Analysts) and participates in awesome podcasts like DtR.
Russell Thomas ( @MrMeritology ) - Russell is a Security Data Scientist in financial services, and a PhD student in Computational Social Sciences. His focus is on the intersection of information security and business and economic decision making. He’s “MrMeritology” on Twitter, and blogs at “Exploring Possibility Space” (http://exploringpossibilityspace.blogspot.com/).
Bob Blakley - Bob has been in the security industry for more than 35 years. He's led the OMG CORBAsecurity, SAML, and OATH standardization efforts, and currently chairs the NSTIC Identity Ecosystem Steering Group. He's in the drama department at a large multinational financial institution.

In this episode

what is the promise of automation, and where did we go wrong (or right?)
the problems with 'volume' (of logging) and the loss of expressiveness
a dive into 'exploratory based monitoring'
how does log-based data analysis scale?
baselines, and why 'anomaly detection' has failed us
does machine learning solve the 'hands on keyboard' (continuous tuning) problem with SIEM?
does today's 'threat intelligence' provide value, and is it really useful?
decrying the tools - and blaming the victims
what is machine learning good at, and what won't it be great at?
log everything!

Guest

Alex Pinto ( @alexcpsec ) - Alex has almost 15 years dedicated to Information Security solutions architecture, strategic advisory and security monitoring. He has been a speaker at major conferences such as BlackHat USA, DefCon, BSides Las Vegas and BayThreat.
He has been researching and exploring the applications of machine learning and predictive analytics into information security data sources, such as logs and threat intelligence feeds.
He launched MLSec Project (https://www.mlsecproject.org) in 2013 to develop and provide practical implementations of machine learning algorithms to support the information security monitoring practice. The goal is to use algoritmic automation to fight the challenges that we currently face in trying to make sense of day-to-day usage of SIEM solutions.