Delivering Continuous Cyber Risk Assessment Analytics

Logo
Presented by

Ken Pfeil, Chief Architect, TechDemocracy and Paige Roberts, Open Source Relations Manager, Vertica

About this talk

TechDemocracy’s vision was to deliver a cybersecurity, compliance, risk and governance solution that would also work for senior, non-technical business decision makers. It had to aggregate and analyze every facet of an enterprise’s unique cyber ecosystem, and incorporate a spectrum of regulatory requirements (NIST,ISO, HIPAA, SOX, IRA, …) to pinpoint gaps and inefficiencies, prioritize risk investments and continually track progress. Join us for the latest Data Disruptors webinar to understand how TechDemocracy incorporates Vertica predictive analytics to power Intellicta, the cloud solution for understanding, evaluating and measuring a company’s cybersecurity, governance, risk and compliance levels. Learn: • How technical and cyber risk relates to business risk • How analytics applies to gauging financial cyber risk • What obstacles need to be overcome

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (156)
Subscribers (36170)
The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.