Given that nearly 90% of large organisations in the Asia Pacific (APAC) have adopted multi-cloud architectures, it’s safe to say that the transformation to embrace AI-driven innovation is well underway.
These multi-cloud environments mean scalability, performance, and agility, but on the flipside, present unprecedented complexity. And so right across the region, CIOs and their teams are now grappling for ways to facilitate speed with AI while maintaining secure and resilient environments.
Security complexity is outpacing traditional tools and teams
This isn’t an easy challenge, because the tools that once secured infrastructure are struggling to protect rapidly evolving stacks. It’s not something that manpower alone can solve either, as security teams are being outpaced by developers deploying AI-powered applications at scale.
Consequently, there’s a real chance of ending up with a landscape marked by fragmented visibility and inconsistent controls. There’s also the risk of AI deployments without governance, disconnected security, and skill shortages within the developer teams leading to poor enforcement of policies and difficulty in managing the complexity of multi-cloud and AI infrastructure. Ultimately, this will compromise the ability to deliver innovation. It also underpins why Foundry’s 2024 Security Priorities Study found that securing cloud infrastructure and protecting sensitive data are top concerns for Asia Pacific security leaders in 2025.
A new model for securing AI-native, multi-cloud environments
Understanding the risks, Wiz partnered with Amazon Web Services (AWS) to redefine cloud security for the AI era. As a unified cloud security platform, Wiz offers a solution that aligns speed, security, and innovation. Designed for cloud-native environments and tightly integrated with AWS, Wiz empowers teams to innovate faster, without sacrificing protection.
Broken down, its benefits to security teams include:
1. Rapid full-stack visibility
Wiz scans all layers of an AWS environment, including VMs, containers, serverless, and data services, to give teams a comprehensive, real-time view of everything happening in the cloud. It connects the dots across cloud services using its Security Graph, delivering context-rich insights in minutes.
This visibility extends to AI tools, including shadow AI deployments that may go undetected in siloed environments. Through AI-BOM (AI Bill of Materials), Wiz identifies generative AI tools in use, even those deployed without approval, so teams can understand and manage risks early.
2. Prioritised risk management
Managing large, complex multi-cloud environments means understanding that not every vulnerability needs immediate attention. Wiz helps security teams cut through the noise by prioritising the most critical risks that are exposed, exploitable, and high impact. This reduces alert fatigue, minimises the resources required to manage an environment, and ensures teams are focused where it matters most.
The platform also integrates seamlessly with AWS services like GuardDuty, CloudTrail, and Security Hub, providing enriched telemetry that supports smarter decisions.
3. Secure migrations and modernisation
Many enterprises struggle with securing cloud migrations, especially during mergers, acquisitions, or re-platforming efforts. Wiz accelerates these journeys with agentless deployment, faster assessments, and guided remediation steps. Its deep AWS integration allows teams to consolidate infrastructure securely and efficiently.
For example, Wiz recently helped Asia Pacific-based enterprises Ansarada and Handshakes navigate complex cloud environments using its full-stack visibility and remediation capabilities. They, in turn, reported a multitude of benefits, from achieving a 360-degree view of the cloud landscape with built-in compliance capabilities to better empowering the IT team to proactively remediate security risks while the business was focused on growth and product development.
4. Secure AI innovation
One of Wiz’s most powerful differentiators is how it supports safe AI adoption. Developers can build and deploy AI services using AWS tools while relying on Wiz to detect misconfigurations, enforce best practices, and eliminate exposure paths.
Using Amazon Bedrock, organisations can even train AI models to support security operations. This automates the creation of awareness training or analysing communication records during M&A due diligence. Together, Wiz and AWS ensure that security is no longer a barrier to AI innovation but a foundation that supports it.
By leveraging Wiz on AWS, organisations have reported shipping products three times faster, achieving ten times greater efficiency in remediating high-priority risks and gaining five times improved visibility across AI workloads.
For CIOs and CISOs, these core capabilities of Wiz mean confidence, and they can move past the traditional trade-off where innovating quickly can mean taking on additional risk.
Ready to see it in action?
Whether you’re embarking on a major migration project, trying to secure AI deployments, or simply looking to replace legacy security tools, Wiz delivers a solution that matches the pace of your innovation. Join Capture the Flag workshops in your respective regions to learn how Wiz and AWS can help you unlock cloud-native innovation without compromise.
Read More from This Article: Don’t let cloud security hinder or slow your AI-driven business innovation
Source: News