In an in-depth conversation with cloud security architect Adedayo Ogunleke, we explore the intersection of cloud-native security, digital transformation, and the evolving threat landscape.
Your work spans critical areas of cloud security. What specific challenges are you addressing?
The landscape has shifted dramatically. We’re not just securing static infrastructure anymore – we’re securing dynamic, cloud-native environments where applications and workloads are constantly changing. In my current job, I focus on complex challenges like securing containerized workloads across multi-cloud environments and implementing zero-trust architectures at scale. The interesting part is how we’re using automation and intelligence to secure these highly dynamic environments.
Could you elaborate on the containerization security challenges you mentioned?
There’s a fascinating disconnect in how organizations approach container security. Many focus on image scanning but miss critical runtime security aspects. I’ve been working on methodologies that address the entire container lifecycle – from build to runtime – while maintaining development velocity. This involves implementing shift-left security practices and creating automated guardrails that don’t impede developer productivity.
You’ve mentioned your work with Global System Integrators. How does this impact enterprise security adoption?
The GSI ecosystem is crucial for enterprise-scale cloud transformation. My work involves developing technical frameworks that help these partners implement cloud-native security at scale. We’re seeing interesting patterns where traditional security models break down in cloud-native environments. This requires us to rethink how we approach security architecture and implementation.
How does your approach to cloud security differ when dealing with regulated industries?
Regulated industries present unique challenges in cloud security. Take financial services, for instance – we’re not just implementing security controls, we’re designing architectures that maintain compliance across dynamic cloud environments. This requires a deep understanding of both technical security controls and regulatory frameworks like PCI-DSS, SOC2, and FedRAMP.
Where do you see the convergence of AI and cloud security heading?
The integration of AI in cloud security goes beyond basic threat detection. We’re developing systems that can understand normal behavior patterns in cloud environments and identify anomalies that traditional rule-based systems might miss. The real innovation lies in how we’re using AI to automate security responses while maintaining governance and control.
How has your perspective on security architecture evolved with your business education?
Security architecture isn’t just a technical discipline anymore. My MBA studies have highlighted how security decisions impact business velocity and innovation. The key is designing security architectures that enable business transformation rather than hindering it. This involves understanding both the technical and business implications of security decisions.The key is designing security architectures that enable business transformation rather than hindering it. This involves understanding both the technical and business implications of security decisions.
What emerging trends should enterprises be preparing for?
We’re seeing a shift toward platform engineering and internal developer platforms. This changes how we approach security – it needs to be embedded in these platforms from the ground up. Organizations need to prepare for securing not just cloud workloads, but entire internal platforms that abstract away infrastructure complexity.
Adedayo continues to focus on advancing cloud-native security practices while developing frameworks for secure cloud adoption at scale.
