Problem
Security risk grows when each cloud account, subscription, cluster, and pipeline evolves differently. Overprivileged access, unmanaged secrets, missing logs, and weak release controls create audit pressure and increase blast radius.
Multi-cloud security breaks down when identity, policy, and detection operate in silos. We design and run practical controls across AWS, Azure, and GCP so teams can reduce risk, prove compliance, and keep engineering velocity intact.
Trusted by
Most risk is introduced by policy drift, inconsistent controls, and unclear ownership between platform, security, and delivery teams.
of data breaches involve abused or compromised identities, making IAM control quality a top cloud security priority.
Industry Breach Analysis
of cloud security failures are tied to customer-side misconfiguration and weak cloud control implementation, not provider-side faults.
Shared Responsibility Research
of organizations report cloud configuration and governance complexity as a major blocker in maintaining security consistency.
Cloud Security Surveys
Strong security posture comes from repeatable controls and ownership, not one-time hardening exercises.
Talk to us about multi-cloud securityWe combine preventive controls, continuous detection, and compliance alignment so risk is managed as part of normal platform operations.
Harden identity and access models across accounts, subscriptions, and projects with role boundaries and least-privilege policy patterns.
Implement and tune posture checks to continuously identify exposed services, weak configurations, and policy drift across cloud estates.
Improve secrets storage, access control, key rotation, and vault usage so credential sprawl does not become an attack path.
Apply encryption-at-rest and in-transit standards, data classification controls, and storage guardrails across cloud-native services.
Reduce exposure with segmented network design, ingress and egress policy controls, and managed perimeter hardening patterns.
Build actionable detections and escalation flows so true risk signals are prioritized over noisy, low-value alerts.
Map technical controls to framework requirements and maintain evidence workflows for faster, cleaner audits.
Run recurring control reviews, risk tracking, and remediation planning so posture remains strong as infrastructure changes.
Phase 1 of 6
We assess identity, network exposure, data protection, and policy drift across cloud environments to establish a prioritized security baseline.
Deliverables: Posture assessment, risk register, control gap map, account-level exposure summary
We harden role design, federation, and privileged access workflows to reduce identity risk and enforce least-privilege patterns.
Deliverables: IAM baseline policies, role model, privileged access workflow, identity governance checklist
We apply encryption, secret management, workload hardening, and runtime protection controls aligned with risk and compliance priorities.
Deliverables: Data protection standards, secrets controls, workload hardening actions, remediation backlog
We tune cloud detection signals and escalation paths so response teams can act quickly on high-impact risks instead of noisy alerts.
Deliverables: Detection catalog, alert routing model, incident response playbooks, response SLAs
Controls are mapped to framework requirements and evidence collection routines so audits are faster and less disruptive.
Deliverables: Control-to-framework mapping, evidence matrix, audit readiness checklist, documentation set
We run recurring risk and control reviews to track remediation progress and maintain consistent posture as infrastructure evolves.
Deliverables: Monthly security review pack, risk trend dashboard, remediation tracker, quarterly roadmap updates
When policies are inconsistent across providers, risk grows quietly until an audit or incident exposes it. We establish repeatable controls, clear ownership, and continuous verification so your posture stays strong as you scale.
Amazon Web Services
Microsoft Azure
Google Cloud
InfraShift strengthens security across AWS, Azure, GCP, Kubernetes, CI/CD, and application delivery workflows. We focus on practical controls that engineers can operate: IAM, secrets, audit logging, policy as code, vulnerability checks, and incident readiness.
Security risk grows when each cloud account, subscription, cluster, and pipeline evolves differently. Overprivileged access, unmanaged secrets, missing logs, and weak release controls create audit pressure and increase blast radius.
We assess the cloud posture, prioritize risk by production impact, harden identity and secrets, add policy checks, improve audit evidence, and integrate security gates into normal delivery workflows.
Engineering teams get security controls that fit how they release software, risk teams get better evidence, and production systems have a smaller blast radius.
For India, UAE, and Saudi Arabia teams, security work may include PDPL, SAMA, NCA, CBUAE, DIFC, ADGM, TDRA, and internal audit expectations depending on sector and workload type.
Multi-cloud security consulting aligns identity, logging, secrets, policy, network, Kubernetes, and delivery controls across more than one cloud platform.
Yes. The right approach adds automated checks, reusable patterns, and clear exception workflows so teams can keep shipping safely.
Yes. We work across all three and tailor guardrails, IAM models, and compliance controls to each provider.
We usually start with IAM risk, exposed resources, secrets handling, missing logging, and policy drift.
Yes. We align technical controls with audit evidence and operational practices needed for frameworks like SOC 2 and ISO 27001.
Both models are available. We can assess and advise, or implement and operationalize controls with your team.
We focus on enforceable platform guardrails and automation so security is integrated into delivery, not added as late-stage friction.
Yes. A baseline posture and compliance assessment is usually the best starting point before major changes.
Share your current cloud footprint and compliance priorities. We will propose a practical hardening and governance roadmap.
Start the conversationA cross-section of delivery outcomes across cloud migration, platform engineering, DevOps operations, and cost control work.