Conf42 Golang 2025 - Online

- premiere 5PM GMT

Advancing Security and Compliance in Revenue Management Systems with AI and Cloud Solutions

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Abstract

Unlock the future of Revenue Management Systems! Learn how AI, cloud-native security, and dynamic pricing protection can revolutionize threat detection, compliance, and incident response. Discover game-changing strategies to safeguard sensitive data, boost revenue, and stay ahead

Summary

Transcript

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Hi, this is Ika. I'm myself, a season profession with, 14 years of experience in analysis, design, configuration development, and deployment of ERP business applications, which is mainly focused in revenue management, a subscription order management, conversion charging and conversion invoicing. I have been working, in different areas. And different industries, such as banking, utilities, manufacturing, finance, and insurance areas. And currently I'm working as a, technical program manager role with, and I'm super excited, to share my overall experience and how, and, and how securing revenue managed systems, in an enterprise, how much important it is and how it's gonna impact. Different industries. Revenue member systems have become the backbone of modern enterprise operations. And in this presentation, how enterprise can navigate, daling security landscapes through AI Cloud and a robust, incident framework response frameworks. I'm able, I will be able to, give some, high level. High level, points. How an our nation can address all these things. If you consider the RMS, secret threat landscape, there is a 42.2% surge in targeted breaches. And, there are a lot of sophist sophisticated algorithm, exportations three points, eight, 6 million per breach impact in every organization. When there is a breach with the security threats, there are some advanced encryption standards and awareness in every, location they're using. And, AI is one of the main power security enhancement where you can, analyze, an organization security based on the threat detection, complaints, management, and how you can, optimize your revenue and how can it help you, update in the market analysis, advance AI and machine learning technologies for, revenue and system security simultaneously driving sustainable business performance gains. There's one more framework called multi-layered security framework. There are four parts in this framework, like continuous monitoring, access controls, data production, and infrastructure security. These four areas are very much important for an organization to, secure their data, multi-layer, and at the same time, continuously monitoring if there are any breaches or. If there is a vulnerability is happening in the organization. And, there's one more area which I want to cover is cloud nato, RM Security. In this area, if you see, automated disaster record, which is a very crucial nowadays because everything is stored in cloud, if there, there's a, if there's any disaster, how we can automatically recover that, recover the data and the scalable security controls. This is one area where an automation can impact with automated security governance. Insur ensuring protection throughout the automation growth. One more area they can work, they can concentrate, is on secure cloud infrastructure. Secure cloud infrastructure. Leading cloud providers develop. Deliver enterprise grade security capabilities that consist outperform in our solutions across all protection metrics. And one more area I want to, cover in this video is dynamic pricing protection. How an automation can dynamic, do a dynamic pricing protection, like using an auth, using authentication like multi, multi factor grade authentication protocols, algorithm integrity. Where we're sending controlling anomaly detection. And one more area I want to cover is incident response framework, which is very crucial for nowadays. There are a lot of breaches happening across all the organizations. So how to detect it, how an incident response framework can we build in an organization? Like how you can detect it, what is the response time, automated response time, how we can recover it, like using the backups and. How you can restore it and documentation, which is very crucial, in regards to the complaints and in future, how to prevent it from future, incidents. So overall, if you see, and one more important area I want to cover is a compliance management. Every country has their own complaints thing. If you take uk, US Middle East, Asia, Europe, everyone have their own compliance thing like P-C-I-D-S. S-G-D-P-R, Sox. It is, it's one of the major area where an organization should link into it because now it is, everything is global and it is very much important in, revenue management areas, how you can be regulatory, covering all the complaints forever. How you are preparing your audit, preparing for your audit, how the data is, data privacy is, maintained in an organization and satisfaction management. These are very crucial because, every organization have their third party vendors and, lot of internal audit and external audit. So these, these are very much important for doing, day-to-day business across the globe. The key takeaways, and the action items from I want to discuss, in this video is how you can implement multi-layered security, how you can leverage AI for detection and automation, establish robot incident response time transition to secure cloud architects. So overall, these are the four areas where I covered in this video. And, thank you so much for giving me this opportunity and, looking forward for the confidence. Thank you.
...

Vikas Vallakonda

Technical Program Manager @ Discovery Analytics

Vikas Vallakonda's LinkedIn account



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