Solution use cases
Built for every team in the enterprise.
Persona-specific outcomes for modernization, governance, AI-driven operations, and enterprise standardization — from the CISO to the on-call SRE.
Executive leadership
CIO / CTO — Platform Modernization
Consolidate fragmented toolchains into one governed control plane without rip-and-replace migration risk. Cortex overlays your existing investments — Terraform, Ansible, ServiceNow, Datadog — and unifies them behind a single governed execution layer.
Replace disconnected automation scripts, runbooks, and pipelines with a governed Service Catalog that standardizes how every team provisions, configures, and operates infrastructure — without replacing existing tools.
Deploy approved cloud landing zones and platform patterns as versioned Stacks. Engineering teams self-serve against pre-approved templates, accelerating transformation timelines without creating governance gaps.
Policy-as-Code enforcement and immutable audit logs ensure every infrastructure change is validated, approved, and traceable — giving leadership confidence that speed and governance are not in conflict.
Cortex sits above your current stack. Terraform, Ansible, ServiceNow, Jira, Datadog, and Splunk continue to operate as-is — connected and governed through a unified control plane rather than replaced.
Security leadership
CISO — Zero Trust DevSecOps
Identity-driven execution, policy gates, runtime secrets, and immutable audit trails aligned to compliance requirements. Security controls are embedded at every execution step — not applied as a post-deployment afterthought.
Every automation run is authenticated via OIDC/SAML, scoped with JIT least-privilege access, and terminated with automatic credential revocation. No standing privilege. No static credentials in pipelines.
OPA/Rego policies enforce infrastructure standards, tag compliance, environment scope, and identity constraints before any change is applied — producing structured violation reports with remediation guidance.
Secrets from HashiCorp Vault, Akeyless, AWS KMS, Azure Key Vault, and GCP KMS are injected at execution time per run. Never stored in catalog templates, Ansible inventories, or Terraform variables.
Immutable execution lineage captures the authenticated identity, applied permissions, policy decisions, inputs, and outputs of every run — providing audit-ready evidence for SOC 2, FedRAMP, ISO 27001, and internal controls.
Platform engineering
Platform Engineer — Self-Service at Scale
Self-service catalog actions for provisioning, Day-2 ops, and diagnostics — governed by policy, no ticket queue required. Cortex lets platform teams deliver internal developer experiences without sacrificing standards or operational control.
Publish approved provisioning, configuration, and diagnostics workflows as parameterized catalog items. Development teams self-serve within guardrails — no direct access to underlying tooling required.
Define approved platform patterns — Kubernetes clusters, database tiers, network topologies — as versioned Stacks. Teams deploy consistent, compliant architectures without custom scripting or tribal knowledge.
Common Day-2 operations — scaling, patching, certificate rotation, diagnostics — are available on demand via the catalog. Runbooks become executable, traceable catalog items instead of documentation artifacts.
Serve multiple teams and business units from a single platform instance with tenant-isolated catalog scopes, role-based visibility, and shared policy governance at the platform layer.
Bring existing Ansible playbooks, Terraform modules, and CI/CD pipelines into the catalog without rewriting. Secure execution boundaries and policy enforcement are applied at ingestion time.
Every catalog run produces an immutable execution record with logs, input parameters, output artifacts, and approval history — giving platform teams complete operational observability without manual log aggregation.
DevSecOps engineering
DevSecOps Engineer — AI Day-2 Operations
Shift from reactive support to proactive automation with anomaly detection, guided remediation, and linked evidence. Agentic AI agents surface risk, context, and recommendations so engineers spend time solving problems — not finding them.
Diagnostic agents correlate execution history, inventory state, and observability telemetry to surface probable causes and recommended actions — without manual log triage across disconnected systems.
Behavioral anomaly detection across automation runs identifies deviations from normal execution patterns — surfacing misconfiguration, drift, and security anomalies before they become incidents.
Observability events from Datadog, Splunk, and Elastic trigger catalog-delivered remediation workflows automatically — closing the loop from alert to governed action within the execution framework.
Every remediation action is traceable end-to-end — ServiceNow change records, Jira issue links, Datadog deploy events, and execution logs are connected in a single audit-ready timeline.
Enterprise architecture
Enterprise Architecture — Multi-Cloud Governance & Reference Stacks
Define and enforce reference architectures as versioned Stacks across every cloud and Kubernetes environment. Cortex gives enterprise architects the controls to codify standards and the visibility to verify they are being followed — continuously, not periodically.
Define approved architectures — cloud landing zones, Kubernetes platforms, application patterns — as versioned Stacks. Stacks codify configurations, tagging standards, and metadata requirements that all deployments must satisfy.
Consistent Policy-as-Code enforcement across AWS, Azure, GCP, OCI, and Kubernetes. The same governance standards apply regardless of which cloud or region a team is operating in.
Deployed environments are continuously validated against their Stack definition. Drift events are surfaced in real time with full context — which resource drifted, from what baseline, and who owns it.
Centralized Tag Registry enforces mandatory tagging standards across all provisioning workflows. Tags sourced from CMDB, HR, and Finance taxonomies are propagated automatically via Terraform, Ansible, and ServiceNow injection.
Real-time cross-domain inventory with dependency correlation — infrastructure ↔ platform ↔ database mapping. Architecture reviews are grounded in live resource state, not stale CMDB snapshots.
Drift and policy violations can trigger automated or catalog-driven remediation workflows — governed by the same approval gates and audit trails as any other platform operation.
Cloud transformation
Cloud Transformation — Secure Landing Zones
Approval-gated landing zone automation using Terraform and Ansible, with ITSM-linked change governance from day one. Cortex ensures that cloud migrations and modernization programs are fast, secure, and auditable at every step.
Deploy approved cloud landing zones as versioned Stacks — VPC architecture, IAM baselines, network segmentation, and security controls provisioned consistently across AWS, Azure, GCP, and OCI.
Every landing zone deployment and configuration change is backed by a ServiceNow change record, Jira issue, and immutable execution log — providing governance evidence from initial provisioning through operational handoff.
Environment promotion from Dev through Test to Production requires policy clearance and explicit approval gate satisfaction — preventing untested configurations from reaching production cloud environments.
Post-deployment drift detection validates live landing zone configurations against approved baselines. Compliance posture is monitored continuously — not assessed at point-in-time audit intervals.
SRE — enterprise standardization
Site Reliability Engineering — Enterprise Standardization
How Cortex delivers the consistency, repeatability, and operational confidence SRE teams require at enterprise scale — from standardized runbook execution to SLO-aware change governance and AI-assisted incident resolution.
Operationalize runbooks as versioned Service Catalog items — ensuring every SRE runs the same validated, policy-approved procedure every time, with full execution traceability and no manual drift between teams or shifts.
Define approved reliability patterns — health checks, circuit breakers, scaling policies, and alerting thresholds — as reusable Stacks. Enforce consistent SRE standards across every service, team, and cloud environment.
Catalog-driven incident response workflows trigger Ansible-based diagnostics, correlated telemetry from Datadog, Splunk, and Elastic, and pre-approved remediation playbooks — reducing MTTR without bypassing change controls.
Agentic AI agents correlate execution history, inventory state, and observability telemetry to surface probable root causes and recommend remediation paths — accelerating incident resolution and reducing cognitive load on on-call engineers.
Every deployment and configuration change is evaluated against active SLO burn rates and Datadog deploy monitors before execution proceeds. Automated rollback gates enforce reliability standards without requiring manual intervention.
Continuously validate live environments against their Stack definition and approved baseline. Detect configuration drift in real time across AWS, Azure, GCP, OCI, and Kubernetes, with policy-governed remediation paths triggered automatically or on demand.
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