Ship infrastructure changes fast.
Prove control at every step.
Cantilever-Engineering is an intelligent service catalog spanning every orchestration layer, service management, observability and FinOps tool you run — bound to a single Zero Trust, policy-enforced framework. Every run is identity-scoped, policy-checked and audit-ready before anything touches production — and agentic AI scores the risk before you approve it.
See the full integration coverage →
Overlay model — keep the tools you already own · Customer-managed, SaaS or hybrid · Air-gapped capable
Speed and control are fighting, and control is winning slowly.
Most enterprises did not buy a bad toolchain. They bought eight good ones. What is missing is the layer that makes them answer to a single policy.
Automation sprawl
Playbooks in three repos, pipelines in two CI systems, a Terraform module nobody owns. Every team automates; nobody can say what runs where, or who approved it.
Standing privilege
Long-lived service accounts and static credentials sit in pipelines because rotating them breaks deploys. Your Zero Trust programme stops at the CI runner.
Audit as archaeology
Evidence gets reconstructed after the fact from logs, Slack threads and change tickets that were filled in retroactively. Every audit costs weeks of engineering time.
One path from request to governed execution.
Three control points, applied to every run regardless of which engine does the work.
Request from the catalog
Engineers pick a versioned, parameterised catalog item instead of running an engine CLI. Inventory context resolves automatically — owner, tier, environment, dependencies.
- Parameter validation and mandatory inputs
- Live multi-cloud + Kubernetes inventory targeting
- Natural-language intent translated to a structured plan
Govern before execution
CIPF evaluates identity, scope and policy before anything runs. A failed gate blocks the run and returns a structured violation report with remediation guidance.
- OIDC/SAML identity + JIT least-privilege role
- OPA/Rego checks against the Terraform plan
- AI risk score and blast-radius estimate
Prove it afterwards
Execution produces an immutable record linking identity, permissions, policy decisions, inputs, outputs and the ITSM change — automatically, as a by-product of running.
- ServiceNow RITM/CHG and Jira issue linkage
- Datadog deploy events and SLO burn on the timeline
- Exportable evidence bundles for SOC 2, FedRAMP, ISO 27001
* Based on customer benchmark engagements. Methodology available on request during an architecture review.
What changes for your team
The same control plane reads differently depending on what you are accountable for.
Zero standing privilege, provable at audit time
Every run is authenticated through your IdP, scoped with a JIT role that expires, and checked against OPA/Rego before a single resource changes. The audit evidence is a by-product of execution, not a quarterly fire drill.
- OIDC/SAML federation with your existing identity provider
- JIT least-privilege roles — no standing credentials in pipelines
- Runtime secret injection from Vault, Akeyless, AWS/Azure/GCP KMS
- Immutable execution lineage mapped to SOC 2, FedRAMP and ISO 27001 evidence
Self-service that does not become a support queue
Publish the provisioning, Day-2 and diagnostic workflows your teams keep asking for as parameterised catalog items. They serve themselves inside guardrails. You stop being a ticket queue.
- Governed Service Catalog with versioned, parameterised entries
- Stack framework for multi-step, dependency-aware reference architectures
- Bring your existing Ansible, Terraform and CI/CD in without rewriting
- Tenant-isolated catalog scopes for multi-BU delivery
Runbooks that actually run the same way twice
Turn runbooks into versioned catalog items so every engineer on every shift executes the validated procedure. Change gates read live SLO burn before they let a deploy through.
- Standardised runbook execution with full traceability
- SLO-aware change gates wired to Datadog deploy monitors
- Event-driven remediation triggered from Datadog, Splunk and Elastic
- AI-assisted RCA correlating logs, telemetry and execution lineage
Consolidation without a rip-and-replace programme
Cantilever is an overlay. Terraform, Ansible, ServiceNow and Datadog keep running exactly as they do today — connected and governed rather than replaced. The migration risk of consolidation drops to near zero.
- One governed control plane across a fragmented toolchain
- Existing licences and skills preserved — no re-platforming
- Landing zones and platform patterns shipped as versioned Stacks
- Policy-as-code and audit logs that make speed and governance compatible
Eight domains. One governed fabric.
75+ capabilities, documented in full — not a feature wall with nothing behind it.
Automation supply chain
Every workflow, provisioning action and remediation playbook is a versioned, policy-validated artifact — authored, approved, executed and audited in one path.
Explore →02Intelligent Policy Framework
CIPF evaluates who is running what, against what, under what conditions — at every gate, before anything changes. OPA/Rego, approvals, tenant isolation.
Explore →03Inventory intelligence
Live discovery across AWS, Azure, GCP, OCI, Kubernetes and databases, with dependency correlation so you see blast radius before you execute.
Explore →04Agentic AI layer
21 named agents on LangGraph orchestration and MCP servers — risk scoring, RCA, natural-language inventory queries, intent-to-execution translation.
Explore →05ITSM & service management
ServiceNow RITM/CMDB and change lifecycle, Jira linkage, Confluence updates — stitched into the execution timeline automatically.
Explore →06Diagnostics & observability
Catalog-delivered diagnostics, Ansible-based checks, and Datadog/Splunk/Elastic telemetry driving event-driven remediation.
Explore →07Secrets & credential hardening
Short-lived credentials issued per run and injected at execution time from Vault, Akeyless or cloud KMS — never written into a template.
Explore →08FinOps & cost governance
Estimated spend evaluated before approval, budget policy gates that block overruns, and tag-driven allocation that makes chargeback possible.
Explore →Watch it work
Four narrated walkthroughs. Sound on.
Built for the environments that get audited.
Financial services, healthcare, government and energy. Zero Trust controls and compliance posture are architectural decisions here, not a regulated-customer configuration exercise.
Zero Trust execution
OIDC/SAML, JIT access, fine-grained RBAC, hard tenant isolation.
Policy-as-code
OPA/Rego at every gate, environment-specific policy sets, plan-time checks.
Secrets hardening
Short-lived credentials injected at runtime. Never stored in templates.
Compliance packs
FedRAMP, HIPAA, PCI-DSS posture support and CIS benchmark automation.
- Executive datasheet — overview, deployment options, decision context
- Technical engineering blueprint — architecture, integration and policy model
- Agentic AI capability map — the 21 agents and what each one does
- Competitive positioning matrix — how we compare to adjacent platforms
Everything your review board will ask for.
One form, one business day, the whole package — executive summary through to policy model and agent architecture. No drip sequence, no gated PDF maze.
The things evaluators actually ask
Do we have to replace Terraform, Ansible or ServiceNow?
How is this different from a CI/CD platform or an IDP like Backstage?
Can it run in an air-gapped or sovereign environment?
What does the AI layer actually do — and can we turn it off?
How long does a deployment take?
Who does the implementation work?
See a governed run against your own stack.
Bring your toolchain and one real workflow. In 30 minutes you will see it requested from the catalog, gated by policy, executed and evidenced — end to end.
30 minutes · tailored to your stack · no slideware