Unify DevOps, cloud security, incident remediation, and tool integrations into one enterprise control plane — with AI at the center.
opshld helps enterprise teams detect risk faster, correlate signals across fragmented tooling, and execute guided or automated fixes with policy, approvals, and full auditability built in.
Security sees risk in one console. DevOps sees deployments in another. Leadership sees reports that are already 48 hours old. And when something breaks, everyone scrambles across six different tools to understand what's happening.
opshld replaces that fragmentation with one intelligent operating layer — correlating signals, recommending actions, and executing fixes across your entire cloud footprint.
Ingest signals from cloud providers, Kubernetes, CI/CD pipelines, and partner security tools in real time — no polling delays.
Turn fragmented alerts into true-risk cases. The correlation engine links vulnerabilities, exposure paths, and attack activity with full signal lineage.
AI explains root cause, quantifies business impact, and generates a step-by-step remediation plan with a confidence score and priority ranking.
Run actions in manual, assisted, or automatic mode — with policy enforcement, approval flows, rollback controls, and immutable audit logging.
Most cloud platforms give you more data. opshld gives you operational control — the ability to detect, understand, and resolve issues faster, with AI making every step more efficient and every action more auditable.
Detect, diagnose, and remediate infrastructure and security issues with guided, policy-aware automation — enforcing approvals and full audit trails at every step.
Cloud operations, security telemetry, deployment workflows, and incident response — one platform, one interface, designed from the ground up for enterprise scale.
Monitor AWS, Azure, GCP, and Kubernetes from a single operational layer. Correlated signal intelligence replaces siloed dashboards and fragmented tooling.
Every action runs through policy gates, approval flows, rollback controls, and immutable audit logs — giving teams speed without sacrificing safety or governance.
opshld is designed as a control plane, not another point tool. It connects cloud accounts, CI/CD systems, security signals, and remediation workflows into one enterprise operating layer.
View All Modules →opshld changed how we think about incident response. What used to take hours of cross-team coordination now resolves in minutes with full audit trails and policy enforcement.
The correlation engine is extraordinary. Instead of getting 40 alerts from 4 different tools, we get one risk case with context, impact, and a remediation plan already drafted.
As a CTO, I finally have one place that shows me actual operational health — not just uptime dashboards. The executive view is exactly what I needed for board-level conversations.
See how opshld helps cloud and security teams detect, prioritize, and resolve incidents faster — across your entire infrastructure.
opshld connects infrastructure monitoring, security telemetry, AI remediation, and operational automation into a single enterprise control plane.
Each module solves a real operational problem. Together they replace five separate tools with one connected, AI-powered control plane designed for enterprise cloud and security teams.
A single view for CTOs and CIOs across cloud security posture, infrastructure health, active incidents, cost exposure, and automation performance. No more assembling reports from five different tools. Real-time operational intelligence for leadership.
Correlate findings from Wiz, Snyk, Cloudflare, cloud environments, and Kubernetes into prioritized risk cases. Replace alert fatigue with actionable intelligence — the right issues, the right context, ready for action.
Identify root cause, explain business impact in plain language, and propose the optimal remediation path — with a confidence score and step-by-step execution plan. Not just recommendations: guided action with human oversight baked in.
Execute policy-aware workflows in manual, assisted, or automatic modes. Every action passes through configurable policy gates, approval flows, rollback checkpoints, and immutable audit logging — giving teams speed without losing safety or governance.
Manage partner tool activations, commercial packaging, and operational integrations from one unified interface. Streamline procurement, consolidate billing, and give ops teams a single activation point for every security integration in your stack.
Continuously scan multi-cloud environments for waste, oversized workloads, idle resources, and savings opportunities. Surface recommendations tied to actual workload data — not generic sizing heuristics — and execute changes through the automation engine.
See why teams replace their patchwork of cloud tools with a single opshld control plane.
| Capability | opshld | Traditional SIEM | Point Security Tools |
|---|---|---|---|
| Multi-source signal correlation | ✓ Native | Partial | ✗ |
| AI-generated remediation plans | ✓ Built-in | ✗ | ✗ |
| Policy-aware execution with approval | ✓ Full | ✗ | Manual |
| Executive operational dashboard | ✓ Dedicated | Generic | ✗ |
| Cloud cost optimization | ✓ Integrated | ✗ | Separate tool |
| Immutable audit trail | ✓ Always-on | Logs only | ✗ |
| Rollback controls | ✓ Built-in | ✗ | ✗ |
| Multi-cloud visibility (AWS/Azure/GCP) | ✓ Native | Limited | Tool-specific |
We'll walk through every module with your real-world infrastructure scenarios.
opshld serves technical teams and executive stakeholders through one connected, role-aware platform — each team gets the view and tools they need.
Get one operating view across cloud risk, infrastructure health, incident status, cost exposure, and automation performance. Stop piecing together reports from five different tools and start making decisions with real-time data.
Correlate security findings, internet exposure, active threat signals, and vulnerability data into prioritized risk cases. Eliminate the gap between security discovery and engineering action — with SLA tracking and audit trails built in.
Reduce manual investigation, accelerate remediation, and unify actions across cloud, Kubernetes, and CI/CD environments. Run workflows in guided or automated mode — always within your policy guardrails.
Use a single platform to standardize runbooks, automate approved actions, manage multiple environments, and support enterprise-scale operations without multiplying team headcount or operational complexity.
A production Kubernetes workload running a vulnerable container image is exposed to internet traffic with active exploit attempts. This used to mean hours of cross-team coordination.
With opshld, the correlation engine identifies the vulnerability, maps the exposure path, detects the attack traffic, and generates a remediation plan — in seconds. The team approves the fix and it's deployed and verified within 8 minutes.
See exactly how the platform fits your role and your infrastructure.
Most AI tools in security tell you what's wrong. opshld AI Copilot tells you why it happened, what to do about it, and then helps you do it — safely, with approval and rollback controls built in.
The AI Copilot operates across four stages of the incident lifecycle — not just detection. It is designed to go all the way from "something is wrong" to "it's fixed and documented."
Ingest signals from cloud providers, Kubernetes, DevOps pipelines, and security tools in real time — no polling delays. Signals from Wiz, Snyk, Cloudflare, AWS, Azure, and GCP are normalized into a unified schema.
The correlation engine groups related signals into a single risk case with full provenance — linking the CVE, the exposure path, the attack traffic, and the affected workload into one coherent picture. Priority is ranked by real business impact.
AI explains root cause in plain language, quantifies business impact, and generates a multi-step remediation plan with a confidence score. Each step is explained with rationale, expected outcome, and rollback strategy.
Actions execute through configurable policy gates, approval workflows, and rollback controls. After execution, the Copilot verifies the fix closed the exposure — then writes the full audit record automatically.
A production api-gateway workload is running a vulnerable nginx version, exposed to the internet, with active exploit traffic. Watch the Copilot take it from alert to resolved.
Production workload running vulnerable container image (nginx:1.21 · CVE-2024-3182). Internet-exposed API gateway with active exploit traffic detected via Cloudflare WAF at 312 req/min. Attack path confirmed by Wiz.
Public-facing API gateway serving ~18,000 requests/hour is at immediate risk of data exfiltration and service disruption. Severity: Critical. Estimated exposure window: active since 04:12 UTC.
Container image nginx:1.21 has known RCE vulnerability CVE-2024-3182 (CVSS 9.8). Patch available in nginx:1.27.0. Deployment pipeline did not enforce image scanning before production promotion.
Assisted mode selected. Actions queued for approval by ops-lead@company.com. Rollback plan staged: revert to api-gateway:v2.14.1 if health check fails within 5 minutes of deployment.
Building AI into cloud operations is straightforward. Building it in a way that enterprises can actually trust — with policy enforcement, human oversight, and audit trails — is where opshld is different.
Average AI remediation confidence across production incidents
Reduction in manual investigation and escalation time
Average time from alert to verified resolution
Unaudited actions — every step is logged, attributed, and reviewable
See AI Copilot in action with your actual infrastructure and real incident scenarios.
An event-driven architecture connecting cloud, DevOps, security telemetry, AI planning, and automation into one coherent platform — designed for the demands of enterprise infrastructure.
Connectors ingest data from cloud providers, Kubernetes, GitHub, Wiz, Snyk, and Cloudflare. Normalized events feed a correlation engine that transforms fragmented alerts into true-risk cases.
AI orchestration generates remediation plans with evidence, while the automation engine enforces approvals, policies, rollback, and audit trails before anything executes in your environment.
All layers connect to a unified API and dashboard layer — giving every role the precise view they need, backed by the same underlying operational data.
opshld is built with enterprise security and compliance requirements at the core — not bolted on as an afterthought. Every layer of the platform is designed to meet the standards your legal and compliance teams expect.
Role-based access with enterprise SSO integrations including Okta, Azure AD, and Google Workspace.
Every action, approval, and change is logged to an immutable audit record with full attribution.
Control where operational data is stored and processed — supporting US, EU, and APAC deployments.
No action executes without explicit policy approval — even in automatic mode, gates are enforced.
Talk to our engineering team about architecture, compliance requirements, and integration planning.
opshld connects to the tools your teams already use — cloud providers, security platforms, CI/CD pipelines, and incident management — all flowing into one unified control plane.
Native connectors for all major cloud providers give opshld real-time visibility across your entire infrastructure footprint — without agents or complex configurations.
Best-in-class security tools feed directly into opshld's correlation engine — so findings from Wiz, Snyk, and Cloudflare become actionable risk cases in seconds, not hours.
We're expanding our integration library constantly. Tell us what your stack looks like.
Guides, deep-dives, and technical content from the opshld team — on AI remediation, cloud security, multi-cloud operations, and enterprise DevOps.
Security teams are drowning in alerts from tools that don't talk to each other. Here's why correlation changes everything about how you prioritize and respond.
Not all AI recommendations are equal. We break down how opshld scores remediation confidence and why transparency in AI actions matters for enterprise trust.
Multi-cloud gives you resilience and optionality. But it multiplies operational complexity. Here's how leading teams are managing it without multiplying headcount.
We're happy to walk through any technical, commercial, or compliance questions you have about opshld.
Walk through a real security incident resolved in 7 minutes 34 seconds, then use the AWS→GCP Migration Calculator to model your cloud cost savings with three discount tiers and an auto-generated migration plan.
nginx:1.21 running in production Kubernetes. Critical CVE. Publicly exposed. 312 exploit requests per minute. Without opshld: 2+ hours of chaos. With opshld: 7 minutes 34 seconds, fully automated.
Vulnerable nginx:1.21 container running in production, publicly exposed via Kubernetes ingress.
Signals from Snyk, Wiz, Cloudflare, AWS Security Hub, and Kubernetes all arrive within seconds.
opshld correlates 5 signals into one risk case #4821, CRITICAL severity, in under 4 seconds.
94% confidence remediation: patch nginx, rebuild image, rolling deploy, verify WAF traffic.
Exploit traffic 312 to 0 req/min. Audit log written. Total time: 7:34. Manual effort: approval only.
Enter monthly AWS spend per service. Three sequential discount tiers. Auto-generates a phased migration plan from your inventory. Try the sample data to see it in action.
Each tier applies to the previous result. Tier 1 = per-service product discounts. Tier 2 = volume/CUD. Tier 3 = final negotiated. All three compound sequentially.
Per-service rates. CDN 97%, Compute 30%, Database 28-30%. Edit in the Calculator tab or directly here.
Applied to post-Tier-1 total. GCP CUD offers 30–57% savings on 1–3 year compute commitments.
Migration incentive from GCP account team. Applied to Tier-2 result as a final percentage reduction.
Auto-generated from your service inventory. Phased by dependency, risk, and complexity.
36 items across 6 categories
Book a session with our cloud team — we model your migration with real numbers and negotiate your discount tiers.
opshld was founded to solve a problem every cloud team faces: too many tools, too many alerts, and not enough operational control to act on what matters most.
As cloud environments scale and security threats grow more sophisticated, enterprises face a fundamental problem: the tools they use to manage and protect cloud infrastructure don't talk to each other.
The result is fragmented visibility, slow incident response, and security teams that are always reacting — never ahead. DevOps teams waste hours on manual correlation. Leadership has no reliable operational view.
opshld was built to become the missing operating layer — connecting all of it, correlating all of it, and giving teams the AI-powered control they need to operate cloud infrastructure at enterprise scale.
We believe teams shouldn't have to choose between moving fast and maintaining governance. Every opshld feature is built to give you both.
AI should explain itself. Every opshld recommendation includes evidence, rationale, and confidence scoring — nothing is a black box.
We build for the paranoid enterprise security team — because if they trust us, everyone else will too. Zero-trust, auditable, policy-enforced by default.
We don't compete with the best security tools — we make them work better together. Our open connector model is a core part of how we build.
We're building the operating system that modern cloud teams deserve. Come see what we've built.
Book a demo, explore enterprise packages, discuss technical requirements, or ask any question about how opshld works with your stack.
Reach us at any of our locations. India, United States, Dubai, and Malaysia.
Talk about platform pilots, enterprise packaging, and commercial arrangements tailored to your organization's needs.
Contact Sales →Explore technology integrations, joint go-to-market arrangements, and reseller partnership opportunities with opshld.
Explore Partnerships →Discuss onboarding planning, integration timelines, technical requirements, and what the deployment journey looks like.
Talk to Success →We'll walk through detection, correlation, AI remediation, and execution live — using infrastructure scenarios relevant to your environment. No canned demos. No slide decks.
We respond to all demo requests within one business day. For urgent enterprise evaluations, email demo@opshld.io directly.