What is Reinforcement Learning (RL)? Definition, Algorithms, Examples
Mapping data flow is a fundamental part of the enterprise data process. There's no way an organisation can understand their data cycle without knowing where their data is located. Despite this, findings from a 2021 Data Threat Report by Thales reveals that only 24% of companies have complete knowledge of where their data is stored. With such strong ties between the two data operations, the numbers just aren't adding up - why?
How to Approach the Enterprise Data Process
In this podcast, Dr Eric Cole, Founder and CEO of Secure Anchor Consulting, and Todd Moore, Global Head of Encryption Solutions at Thales, look at the relationship between data flows, data discovery, automation, and understanding the data process. In his exploration, Todd draws on Thales's report on data security in the era of accelerated cloud transformation and remote work, alongside the company's stance on 'discover, protect and control' based on their CipherTrust Data Security Platform. The question of how organisations should approach the data process and bridge gaps in their knowledge remains the overarching focal point of the conversation.
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Meet the panel
Palo Alto Networks: Using Threat Intelligence Effectively in Incident Investigation
Fivetran: The Biggest Challenges Facing Data Leaders Today - And How to Solve Them
Informatica: Harnessing Data, AI and Cloud for a 360-Degree View of your Business
Zero Networks: Reinventing Identity Security
Fivetran: Modern Data Leader’s Guide to Improved Customer Outcomes
Radware: 360 Application Protection and Why Companies Need It
HID Global: Choosing the Right Visitor Management Solution
Huntress: Doing More With Less in Your Cybersecurity Strategy
Savvy: SaaS Identity Discovery and Visibility
Sifflet: Data Observability 101