Given that almost 90% of large organizations in the Asia-Pacific region (APAC) employ multi-cloud architectures, it's safe to say that transformations to embrace AI-driven innovation are on track.
These multi-cloud environments mean scalability, performance and agility, but on the other hand, unprecedented complexity. And across the region, CIOs and their teams are embracing ways to drive speed with AI while maintaining a safe and resilient environment.
Security complexity outweighs traditional tools and teams
This is not an easy challenge, as tools that once secured infrastructure struggle to protect their rapidly evolving stacks. Security teams are out-pacing because developers deploy AI-powered applications at a large scale, so ManPower alone cannot solve the problem.
As a result, there is a real chance that ends up in a landscape featuring fragmented vision and inconsistent control. There is also the risk of AI deployment without governance, disconnected security, and lack of skills within the developer team, leading to poor policy enforcement and difficulties in managing the complexity of multi-cloud and AI infrastructure. Ultimately, this will undermine our ability to deliver innovation. Foundry's 2024 Security Priorities Survey found that securing cloud infrastructure and protecting sensitive data was the number one concern for Asia-Pacific security leaders in 2025.
A new model for protecting AI-Native's multi-cloud environments
Understanding the risks, Wiz partnered with Amazon Web Services (AWS) to redefine cloud security in the age of AI. As a unified cloud security platform, Wiz offers solutions that coordinate speed, security and innovation. Designed for cloud-native environments and closely integrated with AWS, Wiz allows you to innovate faster without sacrificing protection.
The benefits to the security team are as follows:
1. Quick full stack visibility
Wiz scans all layers of your AWS environment, including VMs, containers, serverless and data services, providing teams with a comprehensive real-time view of everything happening in the cloud. Connect dots across cloud services using security graphs, providing contextual insights in minutes.
This visibility extends to AI tools, including Shadow AI deployments that may not be detected in siloed environments. Through the AI-BOM (AI Bill), Wiz identifies the generator AI tools in use, even those deployed without approval, allowing teams to understand and manage risks early.
2. Priority risk management
Managing large, complex multi-cloud environments means realizing that not all vulnerabilities need immediate attention. Wiz helps security teams navigate the noise by prioritizing the most important risks of exposure, exploitability, and impact. This reduces alert fatigue, minimizes the resources needed to manage your environment, and ensures that your team is focused when it matters most.
The platform integrates seamlessly with AWS services such as Guardduty, CloudTrail and Security Hub, providing enriched telemetry to support smarter decisions.
3. Ensuring transition and modernization
Many companies struggle to ensure a cloud transition, especially during mergers, acquisitions, or revitalization efforts. Wiz accelerates these journeys with agentless deployment, faster assessments, and guided repair steps. Its deep AWS integration allows teams to integrate their infrastructure safely and efficiently.
For example, Wiz recently helped Asia-Pacific-based company Ansarada and Handshake navigate complex cloud environments using full-stack visibility and remediation capabilities. They reported many benefits from achieving a 360-degree view of the cloud landscape with built-in compliance capabilities, allowing IT teams to improve better, to proactively repair security risks while their business focuses on growth and product development.
4. Ensuring AI innovation
One of Wiz's most powerful differentiators is how it supports safe AI adoption. Developers can rely on WIZ to build and deploy AI services using AWS tools to detect false mining, implement best practices, and eliminate exposure paths.
With Amazon Bedrock, organizations can also train AI models to support security operations. This automates the creation of awareness training or analysis of communication records during M&A due diligence. Together, Wiz and AWS ensure that security is no longer a barrier to AI innovation, but the foundation that supports it.
By leveraging Wiz on AWS, organizations have achieved 10 times more efficient in reporting product shipments three times faster, remediating high-priority risks, and improving visibility across AI workloads by five times.
For CIOs and CISOs, these core features of Wiz mean confidence and can overcome traditional trade-offs if innovation means taking additional risks quickly.
Ready to see it working?
Whether you're embarking on major migration projects, trying to secure AI deployment, or replacing legacy security tools, Wiz offers solutions that fit the pace of innovation. Capture flag workshops for each region and learn how Wiz and AWS can help unlock cloud-native innovation without compromising.
