Virtualization Technology News and Information
Generative AI is Here to Stay

By Ram Parasuraman, Executive Director IBM Storage Defender

2024 has already proved to be an explosive year for generative AI - with both good and bad applications. While the hype around AI and foundational models continues to grow-and dominate the news and conversations-organizations still struggle to deploy responsible AI algorithms and models across real-world environments successfully. We will see more organizations move to embedded generative AI into its processes.

Generative AI will gain adoption within storage infrastructure practitioners. The initial use cases will be to improve productivity with AIOps, engaging in natural language vs. documentation lookup and asking questions from data using context-aware chatbots. Infrastructure will have to keep up with the growing demands of AI, much like the cloud had to a decade ago.

Given economic headwinds and growing concerns about cloud costs vs. running on-prem, application modernization efforts will accelerate. FinOps initiatives will gain a foothold. GenAI will help this trend, given the rapid adoption of code generation and refactoring tools. To leverage the economic value of foundation and traditional AI models, businesses must focus on the data - their current capacity and growth forecasts, where the data resides, how it's secured and accessed, and how to optimize future data storage investments.

The potential of today's new era of AI can only be fully realized if organizations have a strategy to unify data from multiple sources in near real-time without creating numerous copies of data and going through constant iterations of data ingest. This means that organizations need to not only have the ability to unify its data, but to secure it across workloads.

This leads to the idea that container workloads and data mobility across hybrid clouds will become a table-stake, not an afterthought for organizations and executives. Increasingly, threats to data will grow with explosive growth in data, emerging new workloads and formats for AI and increasing regulations. Attacks will be faster, more targeted, harder to detect, mostly in part due to generative AI.

Generative AI will Change the Cyber Security Landscape

The age of AI will force organizations to be more intentional about their data and modernization strategies. Before building applications and deploying AI, IT leaders must take time to understand where their data currently lives, where it should live from a regulatory perspective, where it is most secure, and how it creates dependencies in their applications. To establish low-latency integration between applications and business-critical data operations, there is a need for data residency and data sovereignty to guide workload placement, while also ensuring access, management and control of data across silos. 

Generative AI will increase threats to data and the resulting impact from those threats. Training models are trained across billions or trillions of parameters, if bad actors combine, they can poison models and cause hallucinations. This can impact national security and economies, in addition to posing threats to companies and datasets themselves. The stakes just got higher, and enterprises will need to up their defenses to keep pace with the rapidly evolving threat landscape.

AI is democratic and open-source models are available to all, so the bad actors will harness AI to attack faster, launch sniper attacks on the most valuable data, and hide their tracks cleverly. This cat-and-mouse game will shift in speed and intensity from widespread attacks like Ransomware and Exfiltration into focused and even more damaging attacks.

Companies Will Need to be Up to Date with Compliance

2024 will be a banner year for regulatory focus on the tech sector, primarily as more targeted and frequent attacks will keep companies and regulators on their toes. We are going to see that regulations will be enforced, and more will be developed over the year. One of the things we've seen is that Solarwinds and SEC rules were just the start. These regulations are about to get tighter, as the threats will increase and the threat landscape will continue to evolve and develop.

Bad actors have already harnessed these regulations as a weapon to damage further companies struggling to keep up with attacks. Cyber security companies and threat researchers will forge powerful alliances to share intelligence to thwart bad actors and to keep governments informed.

As companies look to keep pace with digital transformation in 2024 and beyond, they need to understand the applications, and security pitfalls and regulations around generative AI.



Ram Parasuraman 

Ram Parasuraman is an Executive Director responsible for Data Resiliency across IBM. He has delivered products for cloud infrastructure, AI powered security, networking, DevOps and storage covering all market segments across routes to markets worldwide.

Prior to IBM, Ram was Head of Products at Cohesity, a leader in Data Management, where he helped scale their SaaS business launching products such as Cohesity Helios Data Platform, Data Hawk for AI powered governance and Data Management delivered as a service. He was the first product leader at Aviatrix, a disruptive cloud networking startup and founded the cloud infra and SaaS businesses at Riverbed, a leader in application performance optimization.

Published Monday, April 01, 2024 7:30 AM by David Marshall
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