With data as diverse as it's ever been—spread across environments, geographies, departments, file systems, applications, databases, and edge devices—the challenge of managing and protecting that data is a significant challenge. The need to rapidly access data when and where it’s needed creates a constantly shifting target that is difficult to secure—which is only further complicated by the demanding requirements of AI.
Experts joined DBTA’s webinar, Data Security and Governance for the AI Era, to showcase top solutions and best practices for navigating the space of data security and governance, especially as it faces increasing investment in cloud and AI technologies.
Charly Batista, PostgreSQL tech lead at Percona, offered insight as to how Percona’s commitment to open source software and database optimization enables its customers to rise above current data security and governance challenges. Featuring open source observability for databases, an infrastructure-agnostic, deploy anywhere strategy, and no vendor lock-in, Percona’s platform brings unparalleled database services and support to drive effective data security and governance.
Persona’s software offers more secure, better performing, and highly stable versions of MySQL, MongoDB, and PostgreSQL with enterprise capabilities, delivering advanced open source tools that make complex data tasks simple, according to Batista. Paired with consulting expertise, 24/7 managed DBA services, 24/7 trusted support, and knowledge sharing- and best practices-based training, Percona ensures that its customers can overcome their most pressing data obstacles.
Upon discussing top concerns that surface when discussing AI adoption with customers, according to Eric Schoepfle, data enablement solutions at Satori, some sentiments include:
- How do I control what data is being fed into AI models and applications?
- How do I prevent sensitive data from being exposed to unauthorized users?
- How does our organization maintain visibility around data usage when adopting AI solutions?
“There’s a positive way to look at this, which is [that] none of this is a new concern for organizations with a strategy in place around your analytics and big data. This is where you’ve already started to answer some of these questions,” noted Schoepfle.
However, a significantly impactful concern remains: Scaling secure and compliant data usage is getting exponentially harder.
The current approach to remediate this data security and governance challenge is innately disconnected from the business, siloed and complex to implement, and expensive to apply and operate overall, according to Schoepfle. In fact, 85% of data and AI projects delay or fail due to security and compliance, highlighting a difficult relationship where, as data and AI use cases are adopted, security and compliance requirements increase.
Satori works to streamline data usage with business-driven security and compliance across applications and data sources. By putting a central guideline in place around what data can be accessed under what circumstances, Satori enables enterprises to audit that data access behavior and consistently apply security rules across enterprise environments. The Satori platform delivers the following advantages:
- 25% productivity gain across data admins and consumers
- 3x faster delivery and adoption of AI and data products
- 100% of security and compliance requirements met
Despite high security spend, attacks continue unabated, explained Michael Fal, database practice lead at Rubrik. Ransomware isn’t going anywhere, and the question of an attempt on enterprise data’s security becomes not an “if,” but a “when.”
“The odds are stacked against you as far as trying to secure your data around that because, frankly, if you’re protecting data, you need to be on 100% of the time,” said Fal. “Attackers need one victory and then suddenly they’ve got access to your data, and they can cause a lot of damage.”
Rubrik built a radically different architecture to confront these constant, complex data attacks, transforming legacy backup and recovery processes. With an immutable, zero-trust architecture, Rubrik delivers a native data threat engine that scans an enterprise’s consolidated data and metadata for potential areas of attack. This simplifies the processes of:
- Determining the scope of attack
- Determining point of infection
- Assessing sensitive data impact
- Finding malware and quarantining
- Restoring from backup
For the full, in-depth webinar, featuring product and solutions explanations, a Q&A, and more, you can view an archived version of the webinar here.