Pioneer gives program leaders full visibility into their infrastructure — who did what, when, and whether it was compliant. The answer is there before the question is asked.
Most platforms can tell you what's running. They can't tell you who authorized it, whether it was compliant when it deployed, or what changed since.
Operators make changes across environments. Without continuous tracking, leadership can't answer basic questions: What's running? Who approved it? Is it still compliant?
Authorization evidence is assembled after the fact — by people pulling logs, writing narratives, and reconciling spreadsheets. It's slow, error-prone, and incomplete.
Configuration changes happen between audits. Without continuous monitoring, you don't know your posture until someone checks — and by then, you're explaining a finding.
From template to production in minutes — with full governance at every step.
Select from hardened, versioned templates
Customize through guided workflows
One-click with policy validation
Monitor health and compliance
Continuous policy enforcement
Pioneer embeds accountability into the infrastructure lifecycle. Every action is tracked, every deployment is validated, and compliance evidence builds automatically.
Every infrastructure action is recorded with operator identity, timestamp, policy validation status, and change detail. The audit trail isn't a report you generate — it's how the platform operates.
Organizational security policies are embedded in the deployment pipeline. Non-compliant infrastructure cannot ship. Operators don't configure security — they inherit it.
Continuous monitoring identifies unauthorized changes in real time. Every drift event is logged, attributed, and — optionally — auto-remediated. Nothing goes unrecorded.
Compliance evidence packages generate automatically from actual deployment activity. Mapped to NIST 800-53, FedRAMP controls, CIS benchmarks. Ready when the auditor is.
Click through each stage of the Pioneer platform, from deployment management to security enforcement.
Track and manage all your infrastructure deployments from a single dashboard. Real-time status, health metrics, and quick actions.
Pre-built, security-hardened templates for common infrastructure patterns. Version-controlled and policy-compliant.
Hardened, multi-node with RBAC
High-availability with automatic failover
Zero-trust network segmentation
Encrypted, versioned, lifecycle-managed
Intelligent analysis of your infrastructure with risk assessment, failure prediction, and actionable recommendations.
Built-in security controls and compliance monitoring ensure your infrastructure meets enterprise standards.
Multi-model AI architecture that operates offline. Assess risk, predict failures, explain incidents, and generate compliance evidence summaries without external API calls.
Automated assessment of deployment risks before changes go live. Score every change. Block high-risk deployments.
Pattern analysis across historical deployment data surfaces issues before they become incidents.
Natural language summaries of what happened, why, and what to do next. Reduce mean time to resolution.
Automated compliance documentation for auditors. Evidence packages generated from actual deployment activity.
Deployment modifies 3 pod security policies. Risk score: LOW
No critical controls affected. Review network-policy-03 before applying.New ingress rule exposes port 8443. Risk score: MEDIUM
Recommend verifying TLS termination config and rate-limit policy before deploy.Connection pool utilization trending upward. Projected to hit 90% capacity within 48 hours at current growth rate.
Recommendation: Scale connection pool or add read replica before Thursday 14:00Z.Certificate expiry in 12 days. Historical pattern: 3 of 4 past expirations caused service disruption.
Auto-renewal trigger set. Manual verification recommended.Kubernetes pod CrashLoopBackOff on checkout-svc at 09:14Z. Root cause: OOM kill triggered by memory limit of 512Mi during traffic spike.
Resolution: Memory limit increased to 1Gi. Deployment rolled forward at 09:22Z. MTTR: 8 minutes.Unauthorized modification to kubeadm.conf at 14:32Z. Change originated from SSH session (user: ops-admin).
Baseline restored via auto-remediation at 14:35Z. Recommend reviewing SSH access policies.98 deployments across 4 environments. 100% policy-compliant at deploy time. Zero high-risk exceptions.
Evidence package ready. Maps to FedRAMP controls: CM-3, CM-4, CM-8, AU-2.42 infrastructure changes. All changes tracked with full provenance. 6 drift events detected and auto-remediated.
Export formats: PDF, CSV, JSON. Ready for auditor delivery.Pioneer is built by AlphaBravo, a U.S.-owned DevSecOps company supporting the Department of Defense.
Pioneer is actively deployed with U.S. Navy program offices — supporting infrastructure operations across cloud, on-premises, and air-gapped environments with continuous compliance and full audit traceability.
— AlphaBravo past performance, U.S. Department of DefensePioneer operates across your existing infrastructure — one platform, one policy set, one audit trail.
Cloud, on-prem, edge, air-gapped. One platform, one policy set, one audit trail — regardless of where infrastructure runs.
Risk assessment before deployment. Incident analysis after. Evidence summarization for auditors. Operates fully offline — no external API dependencies.
Teams deploy through guided workflows and pre-hardened templates. Deep cloud expertise not required. Reduces training burden and operator error.
We'll walk your team through a deployment scenario matched to your environment. No sales qualification — just a technical briefing.
Our engineers will walk you through a deployment scenario matched to your environment and compliance requirements. No SDR. No pre-qualification call.
This is the engineer's view. Infrastructure lifecycle management from first template to continuous compliance — with drift detection, ephemeral services, policy enforcement, and supply chain attestation built into the platform.
Pioneer covers the full infrastructure lifecycle — not just the initial deployment. Most of the hard problems live in Day 2 and beyond. That's where the platform earns its keep.
Template selection, policy definition, environment planning
→Validated deployment with policy gates and RBAC enforcement
→Drift detection, security hardening, continuous compliance
→SBOM generation, provenance tracking, evidence packaging
→Audit trails, policy updates, posture management
Every deployment starts from a versioned, policy-validated template. Teams customize through guided workflows — they don't build infrastructure from scratch.
Pre-built patterns for common infrastructure needs. Every template encodes security best practices, network policies, and resource constraints as defaults — not afterthoughts.
Every template is validated against organizational policies before it can be deployed. If it doesn't pass, it doesn't ship. No exceptions, no overrides without audit trail.
Pioneer doesn't just deploy long-running infrastructure. It handles ephemeral and short-lived services with the same governance model — RBAC provisioning, temporary email servers, test environments, one-off VMs. Everything gets the same policy treatment.
Operators regularly need short-lived infrastructure — a VM for testing, a temporary mail relay, an RBAC configuration for a contractor engagement. Pioneer treats these as first-class deployments with full lifecycle tracking.
Role-based access isn't a one-time configuration — it's a continuous operation. Pioneer automates RBAC provisioning, scoping, and revocation across environments.
Whether you're deploying to a cloud region, an on-prem data center, an edge node, or an air-gapped enclave — the deployment workflow, policy engine, and audit trail are identical. No separate toolchains per environment.
Day 2 is where infrastructure actually lives — and where things go wrong. Drift happens. Configs change. Access scopes creep. Pioneer treats post-deployment operations as the primary workload, not an afterthought.
Infrastructure drifts from its declared state. An operator SSH's in and edits a config. A scaling event changes resource limits. A policy update doesn't propagate. Pioneer watches for all of it — continuously.
Open Policy Agent runs at every decision point in the infrastructure lifecycle — deploy time, runtime, and audit. Policies aren't recommendations. They're gates.
Security isn't a Day 0 configuration that you hope holds. Pioneer continuously applies and verifies security controls as infrastructure evolves — not just when it's first deployed.
Multi-model AI architecture runs entirely within your environment. Risk assessment, failure prediction, incident explanation, and evidence generation — with zero external API calls.
Software supply chain security isn't optional in DoD environments. Pioneer generates SBOMs, tracks provenance, and produces attestation artifacts as part of the normal deployment workflow — not as a separate compliance exercise.
Every deployment generates a complete SBOM — container images, base OS packages, application dependencies, and infrastructure modules. Searchable, exportable, and linked to specific deployment events.
Every artifact deployed through Pioneer carries provenance metadata — who built it, what pipeline produced it, what policies it passed, and what evidence supports its compliance status.
SBOMs, attestations, policy validation results, drift history, access logs, and deployment provenance roll up into evidence packages mapped to specific control frameworks. You don't assemble them. The platform does.
Pioneer is designed for environments where "just use the cloud" isn't an option. Full functionality in disconnected, air-gapped, and bandwidth-constrained deployments.
Native integration with AWS, Azure, GCP. Provider APIs, IAM, and resource management through a single control plane.
VMware, bare metal, private cloud. Same workflow, same policies, same audit trail as cloud deployments.
Lightweight agents for distributed edge nodes. Operates on constrained hardware with intermittent connectivity.
Full offline operation. AI copilot, policy engine, SBOM generation — everything runs without external dependencies.
Multi-model AI architecture operates entirely within your boundary. No external API calls, no data exfiltration risk.
mTLS between all components. Signed artifacts. Encrypted state. Every interaction authenticated and authorized.
We'll set up a technical briefing matched to your environment — cloud, on-prem, air-gapped, or all three. Engineers on both sides of the call.