Cloud Security Services in Raleigh, NC

CSPM continuously monitors your cloud environments against security best practices and compliance benchmarks. We deploy automated scanning that evaluates every resource, configuration, and policy across AWS, Azure, and GCP against CIS Benchmarks, SOC 2 criteria, HIPAA requirements, and CMMC controls. Misconfigurations are detected within minutes of deployment and flagged for immediate remediation.

For Raleigh organizations operating multi-cloud environments, our CSPM platform provides a single pane of glass that normalizes security findings across providers. An overly permissive IAM role in AWS, a misconfigured network security group in Azure, and an unencrypted Cloud SQL instance in GCP all appear in the same prioritized dashboard with consistent risk scoring and remediation guidance.

Cloud environments change constantly as developers deploy new resources, modify configurations, and connect services. Each change can introduce a misconfiguration that exposes data or creates an attack path. Our detection engine monitors CloudTrail, Azure Activity Log, and GCP Cloud Audit Logs to identify configuration changes in real time and evaluate each change against security policies.

For pre-approved remediation scenarios, our platform can automatically revert dangerous configurations: closing publicly exposed storage buckets, revoking overly permissive IAM policies, enabling encryption on unprotected data stores, and restoring logging on critical services. Auto-remediation closes the window between misconfiguration and exploitation from hours to seconds, preventing the exposure that causes most cloud breaches.

Identity is the new perimeter in cloud environments. Compromised credentials and misconfigured IAM policies are the primary vectors for cloud breaches. We audit IAM configurations across all cloud accounts to identify excessive permissions, unused service accounts, API keys without rotation, missing MFA enforcement, and cross-account trust relationships that create unintended access paths.

Our least-privilege analysis compares actual permission usage against granted permissions to identify over-provisioned identities. For Raleigh organizations with hundreds of cloud users and service accounts, this analysis typically reveals that eighty percent of granted permissions are never used, representing unnecessary attack surface. We implement permission boundaries, service control policies, and conditional-access rules that enforce least privilege without disrupting legitimate workflows.

Raleigh's technology sector runs heavily on containers and Kubernetes, driven in part by Red Hat's local influence and OpenShift adoption. We secure container workloads from build to runtime: scanning Docker images for known vulnerabilities in base layers and dependencies, enforcing admission policies that prevent insecure images from deploying, monitoring runtime behavior for anomalous process execution and network connections, and protecting Kubernetes API servers from unauthorized access.

For serverless workloads (Lambda, Azure Functions, Cloud Functions), we implement function-level monitoring that detects unauthorized code changes, excessive permission usage, and anomalous invocation patterns. Our protection extends to Infrastructure-as-Code templates, scanning Terraform, CloudFormation, and Bicep for security misconfigurations before they reach production.

Rule-based detection misses novel attack patterns. Our AI-driven cloud security platform uses behavioral analytics to establish baselines for normal cloud activity and detect deviations that signal compromise. When a developer account suddenly begins enumerating IAM roles across all regions, or a service account starts accessing S3 buckets it has never touched, our ML models flag the anomaly immediately.

Threat correlation across cloud providers identifies multi-stage attacks that span environments. An attacker who compromises an Azure AD credential and then pivots to AWS through a federated trust relationship generates signals in both environments that individually appear benign but together reveal a coordinated attack. Our AI correlation engine connects these signals and generates high-confidence alerts that reduce false-positive fatigue while catching sophisticated threats.

Compliance obligations do not disappear when data moves to the cloud. Our compliance monitoring continuously evaluates your cloud configuration against HIPAA, CMMC, PCI DSS, SOC 2, and NC regulatory requirements. Compliance dashboards show real-time posture with pass/fail status for each control, drift alerts when configurations fall out of compliance, and evidence-collection automation that captures the documentation auditors require.

For Raleigh healthcare organizations moving ePHI to the cloud, we verify BAA coverage with cloud providers, validate encryption configurations, ensure audit-logging meets HIPAA requirements, and document access controls. For defense contractors hosting CUI in cloud environments, we verify FedRAMP authorization of the cloud service, implement NIST 800-171 controls, and prepare CMMC assessment documentation.