SCTR7: Data Science and Analytics

See full article on Dataversity  By Scott Mongeau on March 8, 2019 Following cybersecurity Data Science best practices can help beleaguered and resource-strapped security teams transform Big Data into smart data for better anomaly detection and enterprise protection. Future Shock: Growing Vulnerabilities and Liabilities The consequences of ignoring security challenges are rising. According to the Cisco 2018 Annual Cybersecurity […]

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 […]

Answers to Questions on Data Science (Quora) Quora (https://www.quora.com/) is a great platform to get direct answers from global voices on a broad range of topics. Over the past three years I have posted a number of answers to questions concerning data science: As a data scientist, what are some common misconceptions about what you […]

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 […]

SAS recently produced a helpful video to cut through the misunderstandings that have developed in the market concerning the distinctions between AI, machine learning, and deep learning (many marketers using the terms interchangeably) In summary: > AI is a term for a solution which often utilizes machine learning as a component method to emulate human […]

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 […]

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 […]

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, […]

Posting from SAS Forum Switzerland 2017 Lovely day in Zurich for SAS Forum Switzerland.  Hearing about the latest data analytics developments in Switzerland.  Topics and trends covered: Cloud & internet of things Risk, fraud, and compliance Customer analytics Big data & data science Today I will be presenting with my colleague Allan Russell on ‘Data […]

Data Science – Tools and Methods: Practitioner Perspectives Erasmus University Rotterdam lecture to Masters of Business and Information Management (BIM) students for Big Data and Business Analytics class. Wednesday, April 12th, 2017.