Startups That Were At BlackHat 2013

Heidi Shey

What happens in Vegas shouldn’t stay in Vegas. I was out at BlackHat with other members of the Forrester team over a week ago (seems like yesterday!). It was two jam packed days of popping into briefings, guzzling copious amounts of green tea, and meeting new people and learning new things. In general, I like to keep an eye and ear out for startups to see what’s bubbling up, and came across a few at BlackHat:

  • Co3 Systems. Co3 Systems* help to automate the four pillars of incident response (prepare, assess, manage, and report) and break down responsibilities and response to ensure best practices are followed along with compliance with regulatory requirements. They just updated their security module to include threat intelligence feeds from  iSIGHT PartnersAlienVault, Abuse.ch and SANS, and recently rolled out an EU data privacy and breach notification update to the product. I’m a numbers nerd, so when they let me play with the solution, I immediately started running simulations that estimated the cost of a breach.
  • FileTrek. FileTrek provides visibility and transparency into where data resides, how it’s being accessed, moved, used, changed, and shared between people, devices, and files. No, it’s not DLP. It’s more like the mother of all audit trails that takes context and sequence of events into account. That way, if someone who is supposed to have access to data starts to do things with it beyond what they normally do, FileTrek will flag it as suspicious activity.
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Watson Beats Jeopardy Champions: How Can You Capitalize On This In Risk And Fraud Management?

Andras Cser

IBM's Watson (natural language processing, deduction, AI, inference and statistical modeling all served by a massively parallel POWER7 array of computers with a total of 2880 processors with 15TB RAM) beat the greatest Jeopardy players in three rounds over the past 3 days — and the matches weren't even close. Watson has shocked us, and now it's time to think: What's in it for the security professional?

The connection is easy to see. The complexity, amount of unstructured background information, and the real-time need to make decisions.

Forrester predicts that the same levels of Watson's sophistication will appear in pattern recognition in fraud management and data protection. If Watson can answer a Jeopardy riddle in real time, it will certainly be able to find patterns of data loss, clustering security incidents, and events, and find root causes of them. Mitigation and/or removal of those root causes will be easy, compared to identifying them . . .