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Wiz Joins Google

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Wiz Joins Google
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I'm energetic, ambitious person who has developed a mature and responsible approach to any task that I undertake, or situation that I am presented with. I am excellent at working with others to achieve a certain objective on time and with excellence. Customer Engineer| Al/ ML |AI Infrastructure | Cloud Migration |Technical Solution| Vertex AI| Cloud Database |Cloud Networking |DevOps Engineer| Technical Blogger| Generative AI| Google Cloud Ready Facilitator 🌐Linux Linux Professional Institute Certificate Technical Writer \ Cloud Networking Cloud Computing \ Cloud Infrastructure Cloud Consultant \ Customer Engineer 🌐Virtualization - VMware, vSphere, vCenter Server 🌐Programming Skill Technical Skills Proficiency in languages like Java, Python, Scala, or JavaScript. System Administration: Experience with Linux/Unix systems, Windows Server. Networking: Understanding of network protocols, routing, VPC, Subnets, Firewalls, VPNs, Load Balancers, switching, and firewall configurations. Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform. Databases: Knowledge of SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB. Scripting: Ability to write scripts for automation using Bash, PowerShell, or similar. Monitoring and Logging: Familiarity with tools like Nagios, Prometheus, Grafana, ELK Stack. Configuration Management: Experience with tools like Ansible, Puppet, Chef. DevOps: Knowledge of CI/CD pipelines, Jenkins, Docker, Kubernetes. Security: Understanding of security best practices and tools, Cloud security best practices, IAM, Security Groups, Compliance. Infrastructure as Code: Terraform, CloudFormation, Ansible Compute Services: EC2, GCE, Azure VMs. Storage Solutions: S3, GCS Customer Service Skills:- Communication: Strong verbal and written communication skills. Problem-Solving: Ability to diagnose and resolve technical issues efficiently. Interpersonal Skills: Building and maintaining relationships with clients. Training and Education: Ability to conduct training sessions for clients. Project Management: Managing customer projects and ensuring timely delivery. Knowledge/experience in configuring and supporting devices such as Cisco, Juniper, Checkpoint, etc. Knowledge Cloud Migration, Presale, Data Center relocation, Go-to-Market Strategy. Certifications: AWS Certified Solutions Architect Microsoft Certified: Azure Solutions Architect Expert Google Professional Cloud Architect Certified Kubernetes Administrator (CKA)

A Year of Redefining Velocity

Cloud once transformed how fast teams could build. AI is doing it again, unlocking a new era of innovation where applications move from idea to production in minutes. Generative AI is no longer experimental; it’s becoming a core part of how modern organizations build, ship, and scale.

Customers are leaning into this moment, using AI to move faster, create more, and reimagine what’s possible. But building at this pace requires a new approach to security – one that keeps up with change and supports innovation rather than slows it down.

At Wiz, we believe security should accelerate progress. By combining deep understanding of cloud environments with rich context across code, cloud, and runtime, we enable teams to build AI-powered applications securely from the start and strengthen them continuously as they evolve.

Today’s security leaders are focused on enabling the business, supporting rapid innovation while staying ahead of increasingly sophisticated threats. With Wiz, they don’t have to choose between speed and security.

In this environment, velocity is everything. At Wiz, it’s our mantra; we’re committed to helping customers turn that speed into a lasting edge – building boldly, securely, and with confidence.

The Path That Brought Us Here

During the acquisition process, our wizards never stopped building. In the past year, we hit many major milestones thanks to their grit and determination.

Wiz Research continues to be at the forefront of security, uncovering critical vulnerabilities that protect not just Wiz customers, but the industry at large. This work highlights the systemic risks inherent in the digital age, with discoveries like: 

  • An exposed database in Moltbook, a viral social network for AI agents, that leaked millions of API keys and underscored the security implications of vibe coded applications. 

  • CodeBreach, a critical supply chain vulnerability that could have compromised the AWS Console. 

  • RediShell, a 13-year-old critical RCE flaw in Redis (CVSS 10.0) that impacted over 75% of cloud environments. 

  • NVIDIAScape, a container escape vulnerability that threatened shared AI infrastructure. 

  • A collaboration with vibe coding leader Lovable to harden their platform and protect the next generation of AI-generated applications (where Wiz found that 1 in 5 organizations are exposed to systemic risks).

  • The discovery and remediation of a sophisticated wave of supply chain attacks, including Shai-Hulud and NX, where our research protected hundreds of organizations from highly targeted, evolving threats.

To push the boundaries of innovation even further, we also hosted ZeroDay.cloud, a first-of-its-kind hacking competition where the world's top researchers uncovered a record number of CVEs in foundational cloud and AI tools.

These milestones represent our unwavering commitment to securing the open-source and multicloud infrastructure underpinning the modern world.

Building an AI Security Platform for the Future

Product innovation has always been at the heart of Wiz, and over the past year, our momentum has only accelerated.

As customers build and ship faster in the AI era, we expanded the Wiz AI Security Platform to secure AI applications themselves, providing visibility into AI usage, preventing AI-native risks, and protecting AI workloads in runtime.

We introduced Wiz Exposure Management to give teams a single, proactive view of risk -- unifying vulnerability and attack surface management from code to cloud to on-prem, so they can focus on what truly matters and proactively remove exploitable risk.

We pushed the boundaries of automation with AI Security Agents, purpose-built to help teams investigate, prioritize, and remediate risk at machine speed, powered by deep context across code, cloud, and runtime.

And to help developers start secure by default, we launched WizOS: hardened, near-zero-CVE container base images that give teams a trusted foundation from the very first commit.

These are just a few highlights from a year of relentless building, and we’re only getting started.

The Power of AI and the Strength of Multi-Cloud

Now, as one team with Google Cloud, we have the opportunity to accelerate our roadmap in ways that simply weren’t possible before. By integrating the most cutting edge AI capabilities into the Wiz platform, we’ll continue to give security teams new superpowers. In the coming days, we’ll share more about how we’re already working with Gemini, and what the next phase of this partnership will unlock.

But one thing is not changing: Wiz remains a multi-cloud platform. Today, we work with most of the Fortune 100, and most of the Frontier AI labs, as well as many of the world’s fastest-growing, cloud-native companies. Our customers run on AWS, Azure, GCP, and OCI. Our goal is to protect their entire environment – every workload, every application, every major cloud.

Joining Google doesn’t narrow our focus. It strengthens it. With Google’s infrastructure, Mandiant’s threat intelligence, and the broader Google Unified Security Platform and ecosystem, we can protect customers better – wherever they build.

Trust is something we earn every day. And we intend to prove it through our actions, our product, and our pace of innovation.

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