What Is Cloud Security Posture Management: A Technical Deep Dive for 2026
Cloud Security Posture Management (CSPM) is an automated security toolset that provides continuous visibility into multi-cloud environments like AWS, Azure, and GCP. Its function is to identify and remediate misconfigurations, policy violations, and compliance risks across your entire cloud infrastructure.
Instead of relying on periodic, manual audits, a CSPM platform offers a real-time, unified view of all cloud security risks. It converts the high-velocity noise of cloud configuration data into prioritized, actionable intelligence for engineering and security teams.
Understanding Cloud Security Posture Management

As organizations scale their cloud operations, managing the security of every resource, identity, and network path becomes untenable. The dynamic and ephemeral nature of cloud infrastructure makes manual oversight impossible. This operational complexity is the primary driver for CSPM adoption.
Consider a multi-cloud estate as a distributed system with thousands of configurable components—VMs, storage buckets, serverless functions, IAM roles, and network ACLs. Manually validating the security posture of this system is a futile exercise. A CSPM automates this validation process, functioning as a continuous, policy-driven control plane that operates at machine speed.
What Does a CSPM Actually Do?
A CSPM platform is engineered for continuous asset discovery, configuration analysis, and automated security assessment. It integrates with cloud provider APIs—without requiring agents—to build a comprehensive inventory of all cloud resources and their configurations. This data is then continuously evaluated against a repository of security best practices, regulatory frameworks, and custom organizational policies.
This automated, real-time monitoring is critical for mitigating configuration drift. A securely provisioned environment can become vulnerable through subsequent manual changes, CI/CD pipeline errors, or unintended side effects of other operations. A CSPM detects these deviations from the secure baseline almost immediately.
A CSPM provides real-time answers to three fundamental operational security questions: What is the complete inventory of my cloud assets? Are they configured according to our security policies? Are we compliant with relevant regulatory standards?
This is no longer a niche capability; it is a foundational element of cloud security. The global CSPM market, valued at $4.92 billion in 2024, is projected to reach $10.31 billion by 2029. This growth, detailed in the latest CSPM market report, reflects its critical role in securing cloud-native operations for companies of all sizes.
CSPM Core Functions At A Glance
This table delineates the technical function and business outcome for each core CSPM capability, providing clarity for technical decision-makers.
| Capability | Technical Function | Business Outcome |
|---|---|---|
| Asset Discovery & Visibility | Continuously inventories all cloud resources, services, and identities across all accounts via API integration. | Eliminates shadow IT and provides a single source of truth for all cloud assets, reducing the attack surface. |
| Misconfiguration Detection | Scans configurations against security best practices and policies (e.g., public S3 buckets, permissive IAM roles). | Proactively identifies and flags common security vulnerabilities before they can be exploited by threat actors. |
| Continuous Compliance | Audits cloud environments against frameworks like CIS Benchmarks, NIST, SOC 2, and HIPAA. | Automates compliance reporting, simplifies audit evidence collection, and ensures continuous alignment with regulatory requirements. |
| Threat & Risk Identification | Analyzes resource relationships and permissions to identify potential attack paths and toxic combinations. | Moves beyond simple checks to provide contextual risk, enabling prioritization of the most critical vulnerabilities. |
| Automated Remediation | Provides guided fixes, IaC code suggestions, or automated workflows (e.g., event-driven functions) to correct issues. | Drastically reduces Mean Time to Remediate (MTTR) for vulnerabilities, improving overall security posture. |
Ultimately, a CSPM enables security and engineering teams to build and operate cloud infrastructure at scale with confidence, providing the necessary guardrails to catch misconfigurations before they escalate into security incidents.
How CSPM Differs From Other Cloud Security Tools
The cloud security landscape is saturated with acronyms: CSPM, CWPP, CASB, CIEM. While their functions may seem to overlap, they address distinct security domains. Misunderstanding these distinctions leads to critical gaps in security coverage or redundant tool spending.
Incorrect tool selection results in either an unmonitored attack surface or budget allocation to overlapping capabilities. Both outcomes are unacceptable in a resource-constrained operational environment. The following clarifies the specific roles of each tool category.
A Quick Analogy: Securing a Castle
Think of your cloud environment as a castle. To defend it properly, you need specialists, not just a mob of soldiers. Each security tool has a very specific role to play in protecting the kingdom (your data and applications).
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CSPM (Cloud Security Posture Management): This is your master architect and building inspector. A CSPM isn’t watching the guards or checking IDs at the gate. Instead, it’s constantly examining the castle’s very structure. Are the walls high enough? Is the drawbridge mechanism sound? Is there a forgotten secret passage that’s been left wide open? It checks the blueprints (your cloud configurations) against the actual structure (your deployed resources) to find any flaws before an attacker can.
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CWPP (Cloud Workload Protection Platform): Think of a CWPP as the elite royal guards posted inside the castle. Their job is to protect what’s happening within the walls—the servers, containers, virtual machines, and the applications running on them. They look for suspicious activity at runtime, like an intruder trying to poison the well. They don’t care if the wall has a crack in it; they care if an assassin gets past them.
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CASB (Cloud Access Security Broker): This is your vigilant gatekeeper. The CASB stands between your users and your cloud services, monitoring everything and everyone passing over the drawbridge. It enforces rules about who gets in, what data they can carry out, and which parts of the castle they can access. It’s all about controlling data in motion.
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CIEM (Cloud Infrastructure Entitlement Management): A CIEM is the warden of the keys. This tool’s sole focus is on permissions. It meticulously tracks who has keys to which doors, ensuring no one—not a knight, not a servant, not even a court jester—has access to more rooms than they absolutely need. Its job is to prevent a stolen key from giving an intruder the run of the entire castle.
These tools are complementary, not competitive. A secure infrastructure configuration (enforced by CSPM) is still at risk if runtime processes are compromised (a failure of CWPP).
How It Plays Out in a Real Scenario
Let’s apply this to a common, high-impact security failure: a publicly exposed S3 bucket containing sensitive customer data. Here is how each tool would respond.
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CSPM is the first line of defense. It would immediately generate a high-severity alert. Its primary function is to detect this exact type of infrastructure misconfiguration. A public S3 bucket is a canonical violation of security best practices, and the CSPM would flag it for immediate remediation.
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A CWPP would be completely unaware of the issue. Its scope is the runtime environment of workloads like EC2 instances and containers. The configuration of the S3 service itself is outside its purview.
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The CASB might detect a problem, but only after an attacker begins exfiltrating data from the bucket. It would observe the anomalous data flow but would have been blind to the underlying misconfiguration that enabled it.
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A CIEM would analyze identity and access. It might identify that a specific IAM role has excessive permissions to the bucket, but it would not necessarily flag the root cause: a bucket policy that permits anonymous public access.
Each tool provides a critical, non-overlapping layer of security. A CSPM focuses on the configuration of the cloud control plane itself, while other tools focus on runtime workloads, data in transit, or identity entitlements. Lacking a CSPM leaves you blind to the foundational misconfigurations that are the root cause of most cloud breaches.
Mastering these distinctions is the prerequisite for designing a defense-in-depth security architecture. A robust CSPM is also non-negotiable for meeting compliance frameworks; explore our guide on common cloud compliance challenges to see how it underpins SOC 2, HIPAA, and PCI DSS adherence.
The Technical Architecture of a Modern CSPM Platform
To understand Cloud Security Posture Management, one must examine its architecture. A CSPM is not a simple dashboard; it is a complex data processing pipeline designed for the scale and velocity of modern cloud environments.
The core architectural principle of a modern CSPM is its agentless approach. It does not require installing security agents on individual workloads. Instead, it integrates directly with the cloud provider’s control plane via APIs. This provides a complete, top-down view of the entire environment without impacting the performance of production applications—a critical advantage for startups, SMEs, and enterprises alike.
Data Collection and Ingestion Layer
The first function of a CSPM is data aggregation. This is a continuous, real-time process that builds a dynamic model of the cloud environment.
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Cloud Provider APIs: The primary data source is the read-only APIs exposed by AWS, Azure, and GCP. The CSPM uses these to perform a full inventory of every resource—VMs, storage buckets, IAM roles, network security groups, etc.
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Real-Time Event Streams: To detect configuration changes as they occur, a CSPM subscribes to event logging services like AWS CloudTrail, Azure Activity Logs, and Google Cloud Audit Logs. This provides real-time visibility into configuration changes, user activity, and API calls.
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Infrastructure-as-Code (IaC) Files: Advanced CSPM platforms integrate with CI/CD pipelines. They scan Terraform or CloudFormation templates before deployment, enabling a “shift-left” security model that catches misconfigurations pre-production.
This multi-modal data ingestion creates a high-fidelity, real-time model of the entire cloud estate, which serves as the foundation for all subsequent analysis.
This concept map shows how CSPM acts as the central blueprint inspector for your cloud security strategy, integrating with other specialized tools.

As you can see, while the CSPM checks the structural integrity of the cloud environment itself, other tools like CWPP, CASB, and CIEM step in to protect the things inside that environment—the workloads, the data access, and the user identities.
The Analysis and Policy Engine
Once data is ingested, the analysis engine processes it to identify risks and compliance violations.
The engine’s core is a centralized configuration database, often implemented as a security graph. This graph model is crucial because it captures not just individual resource configurations but also the intricate relationships between them—which IAM principal has access to which data store via which network path.
The security graph is the key differentiator between a modern CSPM and a simple configuration scanner. It enables contextual risk analysis. A publicly exposed database is a finding; a publicly exposed database containing PII that is also accessible by an over-privileged, externally-facing IAM role is a critical, high-priority incident.
A powerful policy-as-code engine then continuously evaluates the security graph against a library of rules. This engine validates the environment against:
- Industry benchmarks (e.g., CIS Foundations).
- Regulatory frameworks (e.g., SOC 2, HIPAA, PCI DSS).
- Custom organizational security policies.
This continuous evaluation process is what prevents “configuration drift”—the gradual erosion of security posture from numerous small, uncoordinated changes over time.
Remediation and Workflow Integration
By 2026, merely identifying problems is insufficient. A modern CSPM must facilitate rapid remediation to reduce Mean Time to Remediate (MTTR). This is where automation and AI-driven capabilities become critical.
Many platforms now leverage AI-powered anomaly detection. By establishing a baseline of normal activity, the system can flag deviations that, while not explicit policy violations, indicate potential malicious activity (e.g., an IAM user suddenly accessing a novel service).
More importantly, automated remediation workflows are becoming standard. These range from simple one-click fixes for common misconfigurations to fully automated, event-driven remediation for predefined, low-risk issues. This automation acts as a force multiplier, allowing security teams to focus on more complex threats.
It’s no surprise that large enterprises are projected to account for 74.20% of the global CSPM market share by 2026; their complex, multi-cloud environments necessitate this level of automation. The entire market, valued at $3.14 billion in 2025, is expected to explode to $21.31 billion by 2034, driven by this demand for automated risk mitigation. You can dig deeper into these CSPM market growth trends.
Finally, a CSPM must integrate seamlessly into existing operational toolchains. It is not a standalone silo. Findings are pushed via API to SIEMs, ticketing systems like Jira, and communication channels like Slack, ensuring alerts are routed to the appropriate teams for action.
An Actionable Roadmap for CSPM Implementation
Deploying a Cloud Security Posture Management (CSPM) solution is a programmatic effort, not a one-time project. It requires a phased approach that delivers incremental value and matures alongside the organization’s cloud adoption.
This three-phase roadmap is applicable to startups, SMEs, and enterprises, providing a structured path from initial visibility to full-scale automation. Each phase builds on the last, evolving the CSPM from a detection tool into a core component of security operations. The focus is on achieving measurable milestones to demonstrate ROI and build momentum.
Phase 1: Discovery and Baselining
You cannot secure what you do not know exists. The initial objective is to establish a comprehensive inventory of your entire cloud footprint. This phase is focused on mapping the attack surface and identifying the highest-priority risks.
The primary action is to onboard all cloud accounts (AWS, Azure, Google Cloud) into the CSPM. The platform’s agentless scanners will then perform a deep discovery to create a complete asset inventory. Initial scans should be run against standard benchmarks like the CIS Foundations Benchmarks.
The initial scan will likely produce a high volume of findings. The key is to triage and prioritize based on impact. Focus on critical, easily exploitable misconfigurations:
- Publicly exposed storage buckets (e.g., AWS S3, Azure Blob Storage).
- Overly permissive IAM roles (e.g.,
*:*permissions). - Unrestricted ingress rules in network security groups (e.g.,
0.0.0.0/0on sensitive ports).
Success is defined not by fixing everything, but by achieving complete visibility and demonstrably reducing the most critical risks.
The most important KPI for Phase 1 is Time to Visibility. How fast can you get from zero to a complete, prioritized list of your most critical cloud misconfigurations? A good secondary KPI is the percentage reduction in critical-risk findings within the first 30 days.
Phase 2: Integration and Policy Customization
With a baseline established, the next step is to integrate the CSPM into day-to-day operations. A siloed CSPM becomes expensive shelfware. The objective is to make security findings a native part of existing engineering and SecOps workflows.
This involves integrating the CSPM with systems like Jira or ServiceNow to automatically generate and assign tickets. Critical alerts should be ingested by SIEM/SOAR platforms for correlation and incident response. This embeds security tasks into the same processes used for all other operational work.
Concurrently, you must move beyond generic benchmarks and implement policy customization. This involves tuning rules to match your organization’s specific risk tolerance and operational context. A development environment has different security requirements than a production environment processing PCI data. Custom policies reduce alert fatigue and focus team efforts on what matters most.
Phase 3: Automation and Shifting Left
This final phase represents a mature CSPM program focused on efficiency and prevention. The objective shifts from detection to proactive prevention and automated remediation, scaling security without a linear increase in headcount.
Here, you enable automated remediation for a well-defined set of low-risk, high-frequency issues (e.g., automatically revoking public access from a non-production S3 bucket). Start with a limited scope in non-production environments to build confidence in the automation.
The most critical step is shifting left. By integrating the CSPM’s Infrastructure-as-Code (IaC) scanning capabilities directly into your CI/CD pipelines, you can detect misconfigurations in Terraform or CloudFormation templates before deployment. This prevents vulnerabilities from ever reaching production, transforming the CSPM from a reactive detection tool into a proactive control.
Key metrics for this phase are a significant reduction in Mean Time to Remediate (MTTR) and a decrease in the net new misconfigurations being introduced into production. This proactive posture is the hallmark of an effective cloud security program.
CSPM Implementation Roadmap Phases and KPIs
This table provides a structured plan for CSPM adoption, breaking down each phase into key actions, success metrics, and the primary stakeholders involved.
| Phase | Key Actions | Success KPIs | Target Persona Focus |
|---|---|---|---|
| 1: Discovery & Baselining | Connect all cloud accounts, perform initial asset inventory, run baseline scans against CIS, triage critical findings. | Time to Visibility (under 24 hours), >95% asset coverage, reduction in critical findings within 30 days. | Cloud Security Engineer |
| 2: Integration & Customization | Integrate with SIEM/SOAR and ticketing systems (Jira/ServiceNow), create custom policies for different environments (prod vs. dev). | Mean Time to Acknowledge (MTTA) reduction, <10% false positive rate on custom policies. | SecOps Analyst, DevOps Team |
| 3: Automation & Shift Left | Enable auto-remediation for low-risk issues, integrate IaC scanning into CI/CD pipelines, establish a feedback loop to developers. | Mean Time to Remediate (MTTR) reduction, >80% of new code scanned pre-deployment, decrease in production misconfigurations. | Developer, DevOps Engineer |
This roadmap ensures the CSPM investment delivers tangible, measurable security improvements at each stage of its lifecycle.
Common CSPM Pitfalls and How to Avoid Them
Procuring a CSPM platform without a corresponding operational strategy is a common failure pattern. The tool itself is only one component; without the right processes and stakeholder buy-in, a CSPM will devolve into an expensive source of unaddressed alert noise.
By 2026, despite a mature market, many organizations fail to realize the full value of their CSPM investment due to recurring operational mistakes. Understanding these common pitfalls is the first step toward building a program that measurably improves security posture.
Pitfall 1: Crippling Alert Fatigue
The most common reason CSPM programs fail is that they overwhelm operations teams with a high volume of low-context alerts. A newly deployed CSPM in a complex cloud environment can generate tens of thousands of findings. When everything is flagged as critical, prioritization becomes impossible.
This is alert fatigue. Security and DevOps teams become desensitized and begin to ignore the output. A critical misconfiguration is then missed amidst the noise. The tool designed to improve security ends up creating a distraction that undermines it.
The solution is to implement risk-based prioritization from day one.
- Filter by Environment: A misconfiguration in a development sandbox has a different risk profile than one in a production PCI environment. Apply different severities and response SLAs.
- Add Business Context: Tag critical assets and data stores. A publicly exposed VM is a problem; a publicly exposed VM hosting a production database containing PII is a critical incident requiring immediate response.
- Focus on Attack Paths: Modern CSPMs can correlate findings. Prioritize misconfigurations that form a link in a viable attack chain from the internet to a crown-jewel asset.
Pitfall 2: Remediation Paralysis
The second major hurdle is a disconnect between finding and fixing. A CSPM finding that does not translate into an actionable, assigned task is useless. This is remediation paralysis: a state where risks are known but no clear ownership or process exists for remediation.
The typical scenario involves the security team detecting the issue but lacking the context or permissions to fix it, while engineering teams view security tickets as unplanned work that disrupts their sprints. The result is a growing backlog of known vulnerabilities and organizational friction.
The issue is operational, not technical. A CSPM is a detection and analysis engine. It is not a substitute for a defined security operations process with clear roles, responsibilities, and SLAs.
A robust remediation workflow is non-negotiable. The most effective approach is to integrate the CSPM with a ticketing system like Jira, automatically creating and assigning tickets to the appropriate code-owning team, enriched with the context needed for remediation. This makes security a manageable component of the standard development lifecycle.
Pitfall 3: The Runtime-Only Blind Spot
Many organizations limit their CSPM scans to their live, deployed cloud environments. This is a purely reactive security posture, equivalent to checking architectural blueprints only after a building is complete.
This approach creates an inefficient cycle of deploying code and then immediately generating a ticket to fix a security issue within it. It is disruptive to developers and slows down delivery. The most effective strategy is to “shift left,” identifying misconfigurations before they are deployed to production.
This is achieved by integrating the CSPM’s Infrastructure-as-Code (IaC) scanning capabilities into the CI/CD pipeline. These checks provide developers with immediate feedback on their Terraform or CloudFormation templates within their existing workflow, allowing them to fix security issues as they would any other code defect. A preventative control is always more scalable and efficient than a reactive one.
The skills gap is a significant factor here. By mid-2025, an estimated 75% of organizations adopting new security tools will report a lack of in-house expertise. This has driven a 9.5% CAGR in the CSPM services market, as companies seek partners for policy implementation and ongoing management. This data, from the latest cloud security services market analysis, underscores the imperative of embedding security expertise and tooling directly into development workflows.
Your Technical Checklist for Evaluating CSPM Solutions

Selecting a CSPM solution or implementation partner requires rigorous technical evaluation. The market is saturated with vendors; you must cut through the marketing claims to identify the capabilities that align with your technical environment and operational model.
This vendor-agnostic checklist is designed for technical leaders. Use these criteria to vet potential solutions and partners to ensure they meet your architectural, compliance, and operational requirements.
Core Platform and Integration Capabilities
A CSPM’s fundamental value is its ability to provide comprehensive visibility. Any blind spots in its coverage are blind spots in your security. The first area of scrutiny should be the depth of its multi-cloud support and the robustness of its API integrations.
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True Multi-Cloud Depth: Does the tool provide deep coverage for all the services you use across AWS, Azure, and GCP, or just surface-level checks for the most common ones? Request a detailed list of supported services and configuration checks. A platform that only covers the top 20% of cloud services is inadequate for a mature cloud environment.
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API-Centric Integration: Evaluate the quality and documentation of its APIs. Does it offer pre-built, bi-directional integrations with your SIEM, SOAR, and ticketing systems? The ability to automate workflows programmatically is a critical requirement, far superior to manual CSV exports.
Automation and Developer Enablement
By 2026, a CSPM that only identifies problems post-deployment is obsolete. The primary value lies in preventing misconfigurations from reaching production. This requires a deep evaluation of its “shift-left” and automation capabilities.
A modern CSPM must empower developers, not just swamp them with tickets. The goal is to weave security right into the CI/CD pipeline, making the secure way the easy way.
Assess the sophistication of its Infrastructure-as-Code (IaC) scanning for frameworks like Terraform and CloudFormation. Can it provide developers with clear, actionable feedback directly in their IDE or as a pull request check? Scrutinize its automated remediation features. Does it offer granular controls, allowing you to build trust by enabling automated fixes for low-risk issues in non-production environments first?
Compliance and Managed Services Expertise
A tool is only as effective as the team operating it. This is particularly true for navigating complex compliance frameworks and for organizations with resource-constrained security teams.
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Proven Compliance Mapping: Demand evidence of how the platform’s policies map directly to the specific controls of frameworks like SOC 2, HIPAA, and PCI DSS. The tool should simplify audit preparation and evidence gathering, not create an additional layer of abstraction. For more context, review our guide on cloud security best practices.
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Hands-On Managed Support: If considering a managed service, evaluate the provider’s depth of expertise. Do they offer more than a basic support hotline? Look for expert-led policy tuning, risk prioritization based on your business context, and hands-on remediation assistance. This level of partnership is critical for organizations without a dedicated cloud security engineering team, helping to translate alerts into measurable risk reduction.
Got Questions? We’ve Got Answers
Let’s tackle some of the common questions that pop up when technical leaders start digging into what CSPM is and how it fits into their security stack.
Do I Still Need CSPM if My Cloud Provider Already Has Security Tools?
For most companies, the answer is a firm yes. While native tools like AWS Security Hub or Microsoft Defender for Cloud are fantastic, they’re built to see one thing: their own cloud.
If you’re running a multi-cloud strategy—and most businesses are these days—a dedicated CSPM is a game-changer. It gives you that single pane of glass to see across AWS, Azure, and GCP, so nothing slips through the cracks. This consolidation makes security monitoring and compliance reporting massively simpler.
Is CSPM Just a Fancy Misconfiguration Scanner?
That’s where it started, but the game has changed. Early CSPM tools were pretty much just scanners, but modern platforms have evolved into full-blown risk intelligence engines.
A modern CSPM doesn’t just see individual problems. It connects the dots by building a security graph of all your cloud assets. This allows it to spot “toxic combinations”—like a publicly exposed server that also has an over-privileged IAM role attached to it. A simple scanner would miss that critical context.
Can a CSPM Tool Actually Fix Problems on Its Own?
Many of them can, but you’ll want to walk before you run. Leading CSPM solutions offer automated remediation, often through one-click fixes or pre-built scripts.
A smart way to start is by enabling auto-remediation for low-risk issues in your non-production environments first. It’s a great way to build confidence in the automation. For your crown jewels in production, a “shift-left” approach is even better. This is where the CSPM integrates directly into your CI/CD pipeline, catching and fixing issues in your Infrastructure-as-Code (IaC) templates before they ever get deployed.
Navigating the complexities of cloud security and compliance requires the right expertise. At CloudConsultingFirms.com, we provide data-driven comparisons to help you select the ideal consulting partner for your AWS, Azure, or GCP needs. Find a verified firm that aligns with your technical requirements and business goals at https://cloudconsultingfirms.com.
Peter Korpak
Chief Analyst & Founder
Data-driven market researcher with 10+ years helping software agencies and IT organizations make evidence-based decisions. Former market research analyst at Aviva Investors and Credit Suisse. Analyzed 200+ verified cloud projects (migrations, implementations, optimizations) to build Cloud Intel.
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