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Multi-Cloud Security Best Practices: How Companies Can Stay Protected

Tamnoon

Greater operational resilience due to multiple disaster recovery and business continuity options. While you can technically do this manually, automation is the better option, as it’ll help avoid misconfiguration or misapplication. No Backups Resiliency and redundancy are two of the cloud’s greatest strengths.

Cloud 52
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5 Reasons Why NIS2 Directive Preparation Should Start Now, Part Two: Implementation Takes Time

Ivanti

So, in this post, I’ll walk you through how to resolve your weakest security issues before the NIS2 Directive deadline hits by addressing these three key areas: Inform management about your cybersecurity gaps Correctly implementing new organisation and technical security measures Find time to train all of your employees 1.

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Data Lifecycle Management for Oracle EBS

Datavail

Unfortunately, far too many businesses aren’t able to achieve a fluid, efficient DLM process for their enterprise data—whether that’s due to organizational inertia or lack of in-house technical expertise. On-premises backups are perhaps easiest, but they’re also at risk in the event of an on-site natural disaster. Conclusion.

Data 52
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The Top 6 Factors to Consider for an Oracle Hyperion EPM Cloud Migration

Datavail

On the other hand, the cloud also offers advantages such as data backups and better disaster recovery and business continuity, which can help lower the existential risk to your business. If you’re happy with your on-premises deployment, undergoing a cloud migration could seem like an unnecessary risk. deployment?

Cloud 52
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A digital edge for financial services: Navigating cybersecurity in the era of the Digital Operational Resilience Act (DORA)

Capgemini

DORA outlines specific measures that financial institutions must take to enhance their cyber resilience: Establish and regularly update data backup procedures to ensure the availability and integrity of critical information in the event of a cyber disruption. He advises clients on how to enable cybersecurity as a business driver for success.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs? What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?