Cloud & AI Security
Secure your cloud infrastructure and AI systems with specialized controls, monitoring, and best practices designed for modern technology stacks.
Securing Modern Technology at Scale
Cloud and AI technologies offer opportunities for innovation and efficiency, but they also introduce new security challenges that traditional approaches don't address. Whether you're migrating workloads to AWS, Azure, or GCP, deploying containerized applications, or building AI/ML systems, our team helps you implement security controls that protect these modern stacks without sacrificing agility or performance.
From small businesses adopting their first cloud services to enterprises managing complex multi-cloud environments, we bring specialized expertise in cloud-native security and emerging AI threats. Our approach focuses on practical controls that work with your existing tools and workflows, not theoretical best practices that sit in documents.
Our Services
Cloud Security Architecture
Design and implement secure cloud architectures across AWS, Azure, and GCP. We help you leverage cloud-native security services while maintaining visibility and control over your environment.
- Multi-cloud and hybrid cloud security design
- Identity and access management (IAM) configuration
- Network segmentation and security groups
- Cloud migration security planning
Cloud Security Posture Management (CSPM)
Continuously monitor your cloud environments for misconfigurations, compliance violations, and security risks. We implement CSPM solutions and help you maintain a strong security posture.
- Automated misconfiguration detection
- Cloud compliance monitoring (CIS, PCI DSS, etc.)
- Infrastructure-as-code security scanning
- Cloud asset inventory and visibility
AI/ML Model Security & Privacy
Protect your AI and machine learning systems from emerging threats like model poisoning, data leakage, and adversarial attacks. We help you build secure AI pipelines that protect sensitive data and intellectual property.
- AI model security assessment and testing
- ML pipeline and data protection
- AI privacy and compliance (GDPR, CCPA)
- Adversarial robustness testing
Container & Kubernetes Security
Secure your containerized applications and Kubernetes clusters with runtime protection, vulnerability management, and security best practices for cloud-native deployments.
- Container image scanning and hardening
- Runtime security monitoring and protection
Why Choose Eviant for Cloud & AI Security?
Cloud-Native Expertise
Our team has hands-on experience securing workloads across all major cloud providers and understands the unique security challenges and opportunities each platform presents.
Emerging Technology Focus
We stay ahead of evolving threats in AI, machine learning, and cloud computing, providing guidance on securing technologies that traditional security teams may not understand.
Practical Implementation
We don't just provide recommendations—we help you implement controls that work with your existing infrastructure, tools, and workflows, ensuring security happens in practice, not just on paper.
Cost-Effective Solutions
We help you leverage native cloud security services effectively, reducing the need for expensive third-party tools while maintaining strong security posture.
Ready to Secure Your Cloud and AI Infrastructure?
Let's discuss how we can help you implement security controls that protect your modern technology stack without slowing down innovation.