Autonomous SecOps. Self-Healing Infrastructure.
Cantilever-Engineering Platform is the central nervous system for modern SecOps — deploying autonomous AI agent workforces (AgentiX™) that continuously hunt threats, hyper-automate multi-step investigations, and proactively reduce attack surfaces. One governed control plane unifying DevSecOps, Zero Trust, and agentic AI across your entire enterprise.
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60+
catalog-delivered capabilities across 13 domains
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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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5-Layer
Zero Trust model — OIDC, JIT, RBAC, Policy-as-Code, tenant isolation
Product walkthroughs
Video demos
Four narrated walkthroughs — press play for picture and audio.
Built for complex enterprise engineering stacks
One Service Catalog. From request to governed execution.
Unify stack signals
TF
ANS
K8S
SNOW
Production API service
Terraform, Ansible, Kubernetes, ServiceNow, Jira, and Datadog context flows into one service view.
Measure readiness
Change readiness controls
Terraform policy checks
98%
ServiceNow approval SLA
96%
Datadog deploy gates
100%
Control points tied to your deployment path: policy, approval, and observability gates.
Govern execution
Fetch inventory contextMCP call · AWS / Azure / GCP / K8s
Platform Eng
Run Terraform + AnsiblePlan / apply + config with policy gates
Create change evidenceServiceNow + Jira + Datadog links
One governed path from request to execution with approvals, scope checks, and audit-ready run history.
01
Unify orchestration
Drive Terraform, GitHub Actions, GitLab CI, Ansible AAP, Harness, and serverless patterns through one coordinated layer with approvals and guardrails.
02
Govern identity & policy
OIDC/SAML, JIT access, Vault/KMS, OPA/Rego, and tenant isolation — policy travels with every run.
03
Trace ITSM to production
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).
Security / identity
OIDC/SAML SSO, JIT access controls, RBAC, runtime secret injection, Vault/KMS integrations, tenant isolation, and credential drift detection.
Inventory intelligence
Real-time AWS, Azure, GCP, OCI, Kubernetes, and database discovery, cross-domain dependency correlation, inventory-driven targeting, and drift detection.
ITSM / Service Management
ServiceNow RITM/CMDB and change lifecycle governance, Jira issue linkage, Confluence documentation updates, and end-to-end execution traceability across the full service management lifecycle.
Diagnostics & observability
Catalog-delivered diagnostics microservice with Ansible-based checks, Elastic/Splunk/Datadog telemetry integration, and event-driven remediation flows.
Agentic AI layer
AI-assisted diagnostics, execution pattern learning, natural-language queries, risk scoring, RCA assistance, and predictive operations.
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.
Solution use cases
Persona-specific outcomes for CIOs, CISOs, Platform Engineers, DevSecOps teams, SREs, and Enterprise Architects
7 personas. Detailed outcomes for every role.
From SOC automation to platform engineering — explore how Cantilever-Engineering.AI deploys autonomous AI agent workforces, eliminates manual triage, and proactively reduces attack surfaces across every team in the enterprise.
Explore all use casesResource packages
Technical and executive assets available for evaluation
Executive datasheet package
Platform overview, capability summary, deployment options, and decision context for leadership teams.
Technical engineering blueprint
Architecture layers, integration patterns, policy model, and execution control surfaces.
Agentic AI & Agent Capabilities
21 named AI agents spanning diagnostics, inventory, orchestration, security, and ITSM — built on LangGraph orchestration, MCP servers, and a RAG/vector knowledge layer. Agents deliver AI-assisted diagnostics and RCA, natural language queries across inventory and execution history, execution pattern learning, behavioral anomaly detection, pre-execution risk scoring and blast-radius modeling, intent-to-execution translation for the Service Catalog, and predictive operations for proactive remediation.
Intelligence strategy brief
How AI augments diagnostics, risk scoring, and operational decision-making workflows.
Competitive positioning matrix
Capability comparison against adjacent platform, DevOps, and ITSM alternatives.
AaaE partner brief
Automation-as-an-Experience framing for enterprise rollout and partner-led transformation programs.
About Cantilever-Engineering Platform
Autonomous by design. Self-healing by default. Enterprise by architecture.
Mission
Automate the security operations center at enterprise scale — deploying intelligent AI workforces that eliminate manual triage, reduce mean time to respond, and hold infrastructure accountable.
Automation as an experience
Treat automation as a product experience for every team, not only specialist operators.
Hyper-Automated Investigation
Drastically reduce mean time to respond by automating complex multi-step investigation processes that previously took human analysts hours or days.
Autonomous Security Workforces
AgentiX™ AI agents continuously hunt threats and investigate alerts without constant human intervention — a self-healing security environment built for modern cyber speed.
Proactive Attack Surface Reduction
AI automatically identifies and patches security gaps across your entire digital footprint before attackers can exploit them.
Preserve existing investments
Overlay model integrates with current tools and cloud environments instead of replacing them.
Contact and request package
Tell us your primary interest and stack. We'll send the right package — datasheet, technical blueprint, or architecture brief — within one business day.
Request package