Cloud Security Consulting Services

Our team develops a multi-quarter strategy that aligns remediation priorities with regulatory requirements and engineering capacity. Teams managing cloud initiatives receive phased execution plans with ownership, timelines, and control maturity targets.

Security is embedded across infrastructure, identity, data, and application layers through design and configuration of cloud-native architectures. Development teams receive threat models, control baselines, and implementation checkpoints enabling velocity without audit rework.

Andersen maps controls to GDPR, HIPAA, PCI DSS, and SOC 2 frameworks. Regulated organizations receive control matrices, audit documentation, and enforcement patterns reducing repeat findings and accelerating certification timelines.

Our specialists build cloud identity security programs using least-privilege models, conditional access, and real-time monitoring across IAM platforms. Teams managing multi-account architectures receive control frameworks, detection rules, and playbooks preventing lateral movement.

Security controls are embedded into migration execution to relocate workloads without introducing vulnerabilities or compliance gaps. Teams migrating on-premises systems or consolidating infrastructure receive pre-cutover audits, transition validation, and hardening plans that protect uptime.

Our team implements data encryption, key management, and access controls across cloud data pipelines. Organizations handling regulated data receive encryption policies, privacy assessment frameworks, data privacy procedures, and backup validation — all designed to protect confidentiality without slowing performance.

We embed security gates into CI/CD pipelines to maintain team velocity without compromising governance. Development organizations receive testing configurations, code remediation playbooks, policy templates, and evidence automation that reduce review cycles and prevent non-compliant deployments.

Our specialists design SIEM implementations, automated threat response playbooks, and detection use cases that enable teams to identify and contain threats at scale. Organizations building security operations centers receive detection rules, escalation workflows, and containment procedures that improve response speed and reduce impact.

Andersen delivers AI/ML security programs covering model risk assessment, training data governance, and inference validation. Teams deploying LLMs or AI applications receive threat models for model theft and data poisoning, baselines for training and serving pipelines, and governance controls that ensure responsible deployment.