Cloud security testing in India — secure architecture for multi-cloud deployments.

A configuration review examines your cloud environment against security best practices and compliance benchmarks such as CIS and the AWS Foundations Benchmark, identifying misconfigurations without active exploitation. A cloud penetration test actively exploits identified weaknesses to demonstrate real attack paths and impact — for example, confirming an IAM privilege escalation chain actually reaches AdministratorAccess, not just that the permission exists on paper. We recommend combining both for comprehensive coverage.

The RBI (Non-Banking Financial Companies – Managing Risks in Outsourcing) Directions, 2025, apply to financial and IT outsourcing including cloud, SOC, and offshore arrangements, with existing contracts required to transition by 10 April 2026. A key operational detail regulated entities often miss: the 6-hour cyber incident reporting clock to RBI starts when the cloud vendor becomes aware of an incident, not when the regulated entity is notified — meaning your vendor contracts need explicit, fast internal reporting obligations built in, or you inherit a compliance gap you can't control.

AWS is the most frequently assessed platform in our engagements, followed by Azure. We have equivalent expertise across GCP, and multi-cloud assessments are increasingly common as organisations adopt two or more cloud providers, often creating cross-cloud attack paths that neither platform's native tooling will surface on its own.

A focused cloud security assessment typically takes 5–10 business days for assessment plus 3–5 days for reporting. Large or complex environments — multiple accounts, significant IAM complexity, AI/ML workloads — may require 15 or more days. We scope every engagement before starting, and a preliminary posture assessment with critical findings is available within 72 hours.

Yes. Cloud-hosted AI workloads — SageMaker, Azure ML, Vertex AI training pipelines and model serving endpoints — present distinct attack surfaces including model extraction risk, training data exposure, and inference endpoint security, which we assess as part of our AI cloud infrastructure testing alongside conventional cloud posture review.

All engagements include a complimentary retest of critical and high findings after remediation, confirming vulnerabilities are genuinely closed rather than merely reported as fixed. Findings are also mapped to ISO 27001, SOC 2, PCI DSS, and DPDPA controls, so remediation work advances your compliance programme at the same time.