Endava and Wiz Redefine Enterprise Multi-cloud & AI Security
With the ultimate goal to help customers “build faster, stay secure and work better in the cloud,” Endava – the technology services company – has announced a new collaboration with Wiz – the cloud and AI security platform that is now part of Google Cloud.
Endava's existing credentials as both a Google Cloud Premier Partner and Google Security Partner has helped to cement this partnership.
By joining the Wiz Partner Alliance, Endava will combine its cloud engineering expertise with Wiz's cloud security platform to help organisations adopt an AI-powered defence shield while improving visibility across their cloud infrastructure.
“Security is a foundational layer of the AI era,” says Nick Ross, Vice President of EMEA & LATAM Channels & Alliances at Wiz.
“Enterprises want to innovate with AI and cloud but they also need confidence that the services they create are secure, resilient and trusted by their customers.
“The valuable experience Endava brings to the Wiz Partner Alliance will help more organisations turn cloud security visibility into action across the complex, multi-cloud environments they operate every day.”
The case for proactive cloud security
As technology advances, so too do the threats.
A recent terrifying statistic from Google Cloud reveals that the time between an initial security breach and the next stage of a cyberattack has fallen dramatically down from eight long hours to a mere 22 seconds.
As organisations evolve and expand their digital operations beyond traditional network boundaries, security teams are under increasing pressure to detect and respond to risks almost simultaneously.
- 22 seconds - the time between an initial security breach and the next stage of a cyberattack has fallen dramatically down from eight hours, according to Google Cloud
This is where the partnership with Wiz reaps its reward, as Endava can now help enterprises move beyond fragmented security checks towards a continuous security model, enabling businesses to identify, prioritise and mitigate vulnerabilities much earlier across the AI lifecycle. This reduces the likelihood of security risks reaching production environments in the first place.
The collaboration is particularly significant as enterprises continue integrating AI-enabled workloads into business operations while balancing innovation with regulatory compliance and operational resilience.
Comprehensive multi-cloud security services
As part of the partnership, Endava will offer a range of cloud security services designed to improve resilience across enterprise environments.
These include rapid cloud risk assessments to identify vulnerabilities and configuration issues, managed detection and response services to support security operations teams, and advisory and implementation services that integrate Wiz into development pipelines and AI workflows.
The combined offering is expected to help organisations identify and resolve security risks earlier while supporting secure AI adoption across multiple cloud platforms.
“As enterprises adopt agentic AI, autonomous agents can access data repositories, systems and permissions across interconnected environments,” says Matt Cloke, CTO at Endava.
“This expanding reach is increasing pressure on organisations to rethink how they strengthen data governance, identity controls and consistent security policies across their AI ecosystems.
“Wiz completes a critical part of that picture by giving customers the visibility, context and risk prioritisation needed to embed security into AI and cloud programmes from the start.
“Combined with Endava's cloud engineering and managed services expertise, this partnership helps us provide organisations with a practical route to secure AI adoption across their multi-cloud environments.”
Blending AI-enabled defence with multi-cloud security expertise and agentic AI governance, Endava and Wiz aim to provide enterprises with a stronger foundation for digital transformation while enabling businesses to innovate away securely in the modern, AI-embedded landscape.
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