Safeguarding Cloud Natives
Security
Sakura Sky delivers integrated security for data, AI, and cloud, protecting organizations as they modernize and adopt autonomous systems. Our approach is built on proactive protection, continuous governance, and embedded security to ensure data integrity and trust across the entire AI and application lifecycle.
Our expert engineers implement secure-by-design architectures, safeguard AI models and data pipelines, and build the operational security required for data-driven decisioning and advanced agentic workflows.
Fortify Your Data
Data Focused Security Operations
Cloud Security Engineering
We design and implement secure, cloud-native architectures that protect data, workloads, and applications across dynamic environments. Our engineers apply best practices in identity and access management, workload isolation, VPC segmentation, and encryption to safeguard every layer of the stack. Security is embedded early in the lifecycle through shift-left controls within CI/CD pipelines and containerized environments, ensuring resilience, visibility, and compliance from deployment to production.
Data Protection & Governance
Our data protection services deliver end-to-end classification, lineage, and lifecycle management across hybrid and multi-cloud ecosystems. We deploy data loss prevention, confidential computing, and automated policy enforcement to secure sensitive information and regulated workloads. By aligning governance frameworks with global standards such as ISO 27001, SOC 2, and GDPR, we help organizations maintain privacy, compliance, and trust as they scale their data and AI capabilities.
Threat Detection & Response
We build intelligent detection and response systems that unify telemetry, automate analysis, and shorten time to containment. By integrating SIEM/SOAR technologies with AI-assisted workflows, we enhance threat visibility and streamline triage and remediation. Our teams develop custom detection logic, integrate external intelligence feeds, and automate response playbooks - enabling continuous monitoring and faster, more precise incident handling across complex enterprise environments.
AI/ML & Agent Security
We secure the full lifecycle of AI and agentic systems, from model development to deployment. Our frameworks enforce strict access controls, data isolation, and prompt protection to safeguard model integrity and prevent misuse. We design zero-trust pipelines for AI operations and establish governance models for responsible AI adoption - ensuring fairness, accountability, and auditability in all intelligent systems.
Differentiators
What Makes Our Security Practice Different
Sakura Sky’s Security Practice combines deep technical expertise, automation-first engineering, and a forward-looking focus on AI security - helping organizations build resilient, compliant, and intelligent systems that protect data, applications, and people.
Shift-left engineering culture
We embed security at the code and pipeline level, integrating controls directly into development workflows. By implementing secure-by-design principles early in the lifecycle, we help teams identify and remediate risks before deployment, reducing exposure and ensuring every build meets compliance and reliability standards.
Cloud-native expertise
Our team brings extensive experience across modern cloud security architectures, leveraging proven frameworks and hardening methodologies to protect workloads in dynamic, distributed environments. With our own AI-driven security solution and a hardened cloud foundation, we provide customers with scalable, automated defenses that adapt to evolving threats and hybrid operating models.
AI-aware security
We have a unique capability in securing generative and agentic AI systems, ensuring models, prompts, and pipelines are protected against data leakage, manipulation, and misuse. Our approach combines model governance, zero-trust principles, and continuous validation to keep AI operations both innovative and secure.
Cross-functional delivery
We bridge the traditionally separate disciplines of cloud, data, and security to create unified, efficient operating models. This integrated approach reduces overhead, strengthens collaboration, and ensures that every team - from engineering to compliance - works together toward a shared security posture.