Request early access
In active development · Private preview

AI‑native DevOps & Cloud Security,
built for autonomous operations.

OpShield pairs purpose‑built AI agents with your cloud, CI/CD, and runtime to continuously detect misconfigurations, vulnerabilities, and threats — then plan, validate, and ship the fix.

Join the waitlist See the platform →
AWS · GCP · AzureMulti‑cloud from day one
Kubernetes · TerraformIaC & runtime aware
SOC 2 · ISO 27001Compliance guardrails
The platform

One control plane for DevOps, Ops, and Cloud Security.

Replace brittle scripts and siloed scanners with an agentic platform that reasons across your infrastructure — and acts with guardrails you approve.

⚙️

AI DevOps

Agents that triage pipelines, fix flaky builds, tune infra, and draft pull requests with evidence and tests.

📟

AI Ops

Autonomous SRE for incident detection, root‑cause analysis, and runbook‑driven remediation across services.

🛡️

AI Cloud Security

CSPM, CIEM, and workload defense in a single agent mesh — with attack‑path reasoning and auto‑remediation.

Capabilities

What OpShield ships out of the box.

Continuous posture

Scans IaC, runtime, identity, and network posture against CIS, NIST, SOC 2, and custom policies — with reasoning, not just checklists.

Attack‑path intelligence

Graphs identity, data, and network reachability to surface the blast radius that actually matters.

Agentic remediation

Drafts Terraform, Kubernetes, and policy‑as‑code changes, runs them in sandbox, and opens PRs with proofs.

Guardrailed autonomy

Every action is policy‑checked, signed, and auditable. You choose human‑in‑the‑loop or fully autonomous per risk tier.

Signal, not noise

AI correlation deduplicates findings across scanners, tickets, and alerts into ranked, actionable incidents.

Bring your own model

Run on our managed models or connect OpenAI, Anthropic, Bedrock, or self‑hosted LLMs via a secure gateway.

How it works

From signal to shipped fix — in minutes.

  1. 01

    Connect

    Read‑only roles in AWS, GCP, Azure, plus GitHub/GitLab and your observability stack. No agents required to start.

  2. 02

    Reason

    Agents build a live model of your environment, scoring risks, dependencies, and ownership.

  3. 03

    Act

    Proposes validated fixes as PRs, change tickets, or autonomous actions — within your policy boundaries.

  4. 04

    Prove

    Every action produces a signed audit trail and evidence bundle for compliance and review.

Roadmap

Where we are, and what's next.

Shipping

Cloud posture + attack‑path graph

Multi‑cloud inventory, misconfig detection, and blast‑radius reasoning.

In preview

Agentic remediation

Terraform & Kubernetes PRs with sandbox validation and policy checks.

Next

Autonomous SRE

Incident co‑pilot with runbook execution and post‑incident reports.

Later

Runtime workload defense

eBPF‑based detection with AI‑driven response playbooks.

Get early access to OpShield.

We're onboarding a small number of design partners. Tell us about your stack and we'll reach out.

We'll only use your email to reply about the preview.