SecureKloud’s Vision: AI, Zero Trust, and the future of Cloud Security

In an insightful interaction with Venkateswaran Krishnamurthy, Chief Revenue Officer, SecureKloud, sheds light on the company’s expansion plans, its approach to securing cloud environments, and its focus on AI-driven innovations. The discussion covers the company’s Cloud Edge, Data Edge, and Neutral Zone platforms, its stance on Zero Trust security, blockchain applications, and cloud security trends, and how it plans to shape the future of enterprise cloud adoption.

DQ: What is SecureKloud’s future growth and revenue expansion strategy?

I would restrict the numbers to be sacrosanct in this conversation. Still, nevertheless, the plan is to build a 500 crore organization from this entity’s perspective, covering India, Southeast Asia, the Middle East, and Africa. That is the roadmap we are working on.

From a product roadmap standpoint, we are very clear that the products we have today will take us to a certain point, but beyond that, we will need to make significant investments. That is precisely why product development and the engineering team report directly to me—so that we work in tandem to ensure we take the company forward.

Being a listed company, we are answerable to our stakeholders. So, the idea is to ensure that all stakeholders, including employees, decision-makers, and the board, are aligned and satisfied with our growth trajectory.

DQ: Businesses are rapidly migrating to cloud platforms, especially multi-cloud solutions. Have you identified security gaps, and how is SecureKloud addressing them?

SecureKloud has been in this journey of cloud migration and modernization since 2012. We started in 2008 and were early movers in cloud adoption in 2009. To be honest, we were among the first premier partners of major cloud providers like AWS, Microsoft Azure, and GCP, way back in 2009 and 2010. This long-standing experience gives us deep insights into the evolution of cloud security.

One of the key challenges we have observed in cloud adoption is cost optimization and security assurance. That is why we introduced FinOps, or Cloud Financial Management. Instead of simply selling cloud solutions, we take an advisory approach with enterprises, helping them evaluate the total cost of ownership (TCO) and return on investment (ROI) before migration.

Each industry has different cloud security needs. A BFSI organization has stringent compliance requirements, whereas a manufacturing enterprise may be more focused on scalability. Our approach is to customize cloud strategies for every sector, ensuring security is embedded in the migration process.

To enhance security and efficiency, we developed Cloud Edge, our proprietary platform that enables enterprises to migrate to the cloud within 8 hours. This solution integrates with AWS, Azure, and GCP, ensuring seamless transition while securing perimeter defenses before deployment.

DQ: Can you elaborate on your platforms—Cloud Edge, Data Edge, and Neutral Zone—and their role in cloud security?

Yes, each of these platforms plays a different role in ensuring seamless and SecureKloud migration.

Cloud Edge is not just about migrating applications to the cloud—it is about automating the entire process while securing the data and applications at every stage. When a company moves from on-premise to the cloud, Cloud Edge ensures that security measures are in place from day one.

Data Edge is a data engineering automation tool that works alongside Cloud Edge. When an enterprise moves its data to the cloud, Data Edge ensures that it is done securely and seamlessly, maintaining compliance and data integrity throughout the process.

Neutral Zone is where multi-cloud strategies come into play. Many enterprises today are using multiple cloud providers. For example, a customer may be using Microsoft Azure for some applications, Google Cloud for others, and AWS for a few more. Neutral Zone helps in compartmentalizing these environments, ensuring a structured approach to cloud security and governance.

A significant portion of our customer base consists of small and medium enterprises (SMEs). They often struggle with cloud migration due to limited IT expertise. That is why we also offer Cloud Managed Services, handling the entire lifecycle of cloud adoption for our clients. Our Global Network Operations Center (NOC) in India manages cloud security for Fortune 500 clients globally.

DQ: Blockchain is gaining traction in enterprise security. How does SecureKloud’s Blockage solution support secure blockchain deployment?

Blockchain, as a technology, is still evolving. Most people associate it with cryptocurrencies, but its potential in enterprise security, supply chain management, and finance is much larger.

Blockage, our blockchain initiative, is currently in its minimum viable product (MVP) stage. We are actively working with clients across logistics, e-commerce, and manufacturing to refine its capabilities.

While we have reached a functional MVP, blockchain as a distributed ledger technology is still developing, especially in multi-tenant environments. Our dedicated blockchain R&D team is working to expand its enterprise applications, focusing on security, privacy, and compliance.

DQ: How does SecureKloud integrate Zero Trust security models into cloud security frameworks?

Zero Trust is based on a fundamental principle: “Never trust, always verify.” With cyber threats becoming more sophisticated, traditional security models that rely on perimeter defenses are no longer effective.

Organizations today demand comprehensive Zero Trust frameworks that go beyond endpoint and network security. Instead of developing a proprietary Zero Trust solution, we partner with leading Zero Trust providers to deliver a full suite of security services.

The rise of CISOs (Chief Information Security Officers) is evidence of how cybersecurity has evolved from an IT concern to a boardroom priority. Enterprises are now prioritizing Zero Trust security investments, ensuring continuous authentication, least privilege access, and adaptive security policies to safeguard their environments.

DQ: With the rise of serverless computing, how is SecureKloud leveraging serverless architecture?

At this point, we are still in the discovery phase regarding serverless computing. Given our history of early adoption (cloud in 2008, AI in 2012), we recognize the potential of serverless technology.

Although we do not have a fully developed serverless architecture solution today, our R&D team is actively exploring how it can be integrated into our cloud security ecosystem.

DQ: What are the top cloud security trends businesses should prepare for in the next five years?

One of the biggest security challenges today is that threat actors are evolving faster than enterprise security teams. Hackers are becoming increasingly sophisticated, leading to constant innovation in cybersecurity measures.

For listed companies, a cyber breach can significantly impact stock prices, valuations, and customer trust. This is why boardroom discussions now prioritize cybersecurity investments as part of business risk management.

Key cloud security trends include:

• Zero Trust adoption as organizations move away from traditional firewalls to authentication-based security models.
• Regulatory compliance requirements, especially in BFSI and healthcare, which must comply with IRDA, RBI, and other security standards.
• AI-driven threat detection, where enterprises leverage AI for predictive security and automated incident response.
• Hybrid and multi-cloud security, as businesses adopt more complex cloud infrastructures.

DQ: SecureKloud is investing in AI-driven innovations. Can you share insights on your AI products?

We have developed DocuEdge.AI, an intelligent document processing (IDP) platform powered by Large Language Models (LLMs). It is already being used for:

• Automated document validation (e.g., bank statements, KYC, invoices).
• AI-driven loan approvals for financial institutions.
• Healthcare applications (e.g., automating hospital discharge summaries).

Additionally, ReadAble.AI is another solution that facilitates electronic health record (EHR) processing in hospitals. AI and agentic AI architectures will play a key role in enterprise automation, enhancing efficiency, accuracy, and predictive analytics.