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What is Cybersecurity Data Science?

October 11, 2019

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Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework. A proposed CSDS definition derived from multiple sources: CSDS is the practice of […]

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Wait… is data science even a thing?

April 28, 2019

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Among my greatly respected global colleagues and friends on LinkedIn, there seem to be persistent, circular debates concerning the nature and viability of the data science profession. Opinions seem to run the gamut from ‘data science is the best thing since sliced bread and will take over the world’ to ‘data science is a weak, […]

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Cybersecurity Data Science (CSDS): How Not to Drown in Your Cyber Data Lake!

December 3, 2018

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Future Shock: Growing Vulnerabilities and Liabilities Cybersecurity data science (CSDS) brings hope to organizations challenged by evolving cyber threats. A rapidly developing field, CSDS utilizes advanced analytics to address security gaps in an increasingly data-driven, interconnected world. The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity Report, over half of cyber-attacks resulted in […]

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Open Call: Cybersecurity Data Scientist Practitioner Research

October 20, 2018

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October 20th, 2018 Dear Cybersecurity Data Scientist Colleague, For an academic research publication, I am interviewing cybersecurity data scientists concerning practitioner perceptions of trends, challenges, and best practices. I would be greatly appreciative should you be willing to contribute to the community via a 30 minute interview. LIST OF QUESTIONS TO BE COVERED (open response […]

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Cybersecurity Big Data Overload?

October 22, 2017

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Overview: The Cyber Big Data Conundrum Organizations are challenged with the spiraling overhead associated with storing and processing ever inflating sets of cybersecurity data. Many admit they are struggling to evidence improved security event detection and decision making. A growing realization is that big data must be turned into smart data: relevant, high-quality data which […]

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Cybersecurity Data Science: Adopting a Medical Paradigm

July 24, 2017

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An Uncomfortable Status Quo This month, barely eight weeks from the WannaCry ransomware outbreak, yet another destructive worm attack has disabled systems and compromised data globally: PetrWrap (AKA NotPetya, Nyetya, or GoldenEye). Beleaguered cybersecurity professionals have responded yet again with a flurry of patches and guidance to plug the holes. Based on trending events, there is […]

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Data Science for Cyber Risk Management (PRMIA)

June 6, 2017

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Cyber threat actors exploit increasingly interconnected networks to infiltrate infrastructure and compromise digital assets. While prolific networks and digitization drive interactivity, thereby opening new opportunities for collaboration, open channels also increase the scope and scale of potential cyber risks. Beyond compromised intellectual property and regulatory strictures, reputational damage can result in customer and partner attrition, […]

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Data Science for Cyber Security? Challenges and Opportunities from FloCon 2017

January 10, 2017

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Blogging from FloCon cyber security conference in San Diego #FloCon17 Although not a morning person by nature, the early 7 am kick-off session was quite painless as I am still jet lagged on Amsterdam time (+9 hours, making this an easy 4pm session!). While I was aware of a range of Linux-based open source tools for […]

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Much ado about a dress: how perception skews interpretation

March 1, 2015

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This week generated a meme which nearly melted the internet: the case of the gold or blue dress. A picture of dress worn at a wedding was seen by some people as being gold and white and others as blue and black. A riotous global argument that cast friends and lovers against one another ensued. While […]

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Manager-machine: analytics, artificial intelligence, and the uncertain future of management

October 7, 2014

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Manager-Machine

As many traditional industrial age business functions become subject to disintermediation by automation and expert analytics systems, new industries and value propositions will need to be framed by an emerging generation of leaders.

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