Zero Trust, agentic AI. Governed Automation.
Cortex AI Engineering Platform unifies fragmented DevSecOps toolchains into one governed, AI-aware control plane — orchestration, Zero Trust identity, inventory intelligence, and ITSM traceability from request to execution.
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60+
platform capabilities — automation to audit
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4
public clouds plus Kubernetes-native inventory
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30–50%
typical MTTR reduction (customer benchmarks)
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Zero Trust
OIDC, JIT, isolation — governed execution by default
Built for complex enterprise engineering stacks
One control plane from request to execution
Unify stack signals
Terraform, Ansible, Kubernetes, ServiceNow, Jira, and Datadog context flows into one service view.
Measure readiness
Control points tied to your deployment path: policy, approval, and observability gates.
Govern execution
One governed path from request to execution with approvals, scope checks, and audit-ready run history.
Drive Terraform, GitHub Actions, GitLab CI, Ansible AAP, Harness, and serverless patterns through one coordinated layer with approvals and guardrails.
OIDC/SAML, JIT access, Vault/KMS, OPA/Rego, and tenant isolation — policy travels with every run.
ServiceNow (RITM/CMDB), Jira, and Confluence stitch into execution timelines with observability from Splunk, Datadog, and Elastic.
Engineering stack coverage
Core orchestration
Unified service catalog, stack-based orchestration, policy gates, immutable audit logs, and multi-engine execution (Terraform/TFC, Ansible AAP, GitHub Actions, GitLab CI, Harness, serverless) (GA).
Security / identity
OIDC/SAML SSO, JIT access controls, RBAC, runtime secret injection, Vault/KMS integrations, tenant isolation (GA); credential drift detection (Roadmap).
Inventory intelligence
Real-time AWS, Azure, GCP, OCI, Kubernetes, and database discovery, cross-domain dependency correlation, inventory-driven targeting, and drift detection (GA).
ITSM / SDLC integration
ServiceNow RITM/CMDB and change lifecycle alignment, Jira issue linkage, Confluence documentation updates, and end-to-end execution traceability (GA).
Diagnostics & observability
Catalog-delivered diagnostics microservice with Ansible-based checks, Elastic/Splunk/Datadog telemetry integration, and event-driven remediation flows (GA).
Agentic AI layer
AI-assisted diagnostics, execution pattern learning, natural-language queries (GA); risk scoring, RCA assistance, and predictive operations (Roadmap).
Integration coverage
Terraform, Ansible AAP, GitHub Actions, GitLab CI, Harness, Azure DevOps, ServiceNow, Jira, Confluence, HashiCorp Vault, Akeyless, OPA/Rego, Splunk, Datadog, Elastic, OpenAI, IBM watsonx, OIDC/SAML.
Data note: Feature lifecycle in this section explicitly marks GA vs Roadmap to reflect planning and rollout maturity.
Solution use cases
Persona-specific outcomes for modernization, governance, and AI-driven operations
Consolidate fragmented toolchains into one governed control plane without rip-and-replace migration risk.
Identity-driven execution, policy gates, runtime secrets, and immutable audit trails aligned to compliance requirements.
Catalog-driven provisioning, diagnostics, and day-2 operations without ticket bottlenecks or standards bypass.
Shift from reactive support to proactive automation with anomaly detection, guided remediation, and linked evidence.
Consistent policy, tagging, and metadata controls across clouds and Kubernetes with drift-aware remediation.
Approval-gated landing-zone automation using Terraform/Ansible plus ITSM-linked change governance from day one.
Resource packages
Technical and executive assets available for evaluation
Platform overview, capability summary, deployment options, and decision context for leadership teams.
Architecture layers, integration patterns, policy model, and execution control surfaces.
Domain-level capability map across orchestration, identity, inventory, ITSM, observability, and AI.
How AI augments diagnostics, risk scoring, and operational decision-making workflows.
Capability comparison against adjacent platform, DevOps, and ITSM alternatives.
Automation-as-an-Experience framing for enterprise rollout and partner-led transformation programs.
About Cortex AI
Secure by design. Intelligent by default. Enterprise by architecture.
Make automation secure, intelligent, and accessible at enterprise scale without sacrificing governance or traceability.
Treat automation as a product experience for every team, not only specialist operators.
Zero Trust controls, policy-as-code, and identity-scoped execution are foundational, not optional add-ons.
AI acts as a force multiplier for engineers by surfacing risk, context, and recommendations.
Overlay model integrates with current tools and cloud environments instead of replacing them.
Contact and request package
Submit: first name, last name, work email, title, organization, primary interest (Platform Modernization, Zero Trust Governance, AI Operations, Multi-Cloud Automation, ITSM Integration, General Evaluation), and optional environment details.
Request package