Cloud environments fail in unexpected ways. Services drift, incidents happen, and today AI agents are making changes that are not always tracked. Cloud Resilience means knowing your gaps before they become incidents and having a clear path to fix them.
Cloud resilience means being able to actually recover when something goes wrong, not just having a plan that says you can. The gap between assumed readiness and verified readiness is where incidents happen.
New services spin up, configurations drift, and cross-region dependencies appear. Your DR documentation rarely keeps pace. Gaps only surface during an incident, when it is already too late to fix them.
Recovery time objectives exist in policy documents but nobody has checked whether live configurations can actually meet them. The targets and the reality have quietly drifted apart.
Recovery drills require weeks to coordinate across teams and produce results that go out of date within months. Most teams run one drill a year at most, leaving long windows of unverified exposure.
Agents make infrastructure changes that do not appear in your change log, hold permissions that were never scoped, and create dependencies that nobody mapped. You cannot build a resilient DR posture around resources you do not know exist.
The result: a plan that looks complete on paper and fails when it matters most. The goal is not more documentation. It is verified, continuously updated confidence that your environment can actually recover.
Cloud resilience is not a one-time review. It is a continuous program. OpsCanvas delivers all three stages on the same Context Graph, so each step compounds on the one before it.
Get a verified, evidence-backed picture of your current resilience posture. Not a consultant's spreadsheet built from interviews. A live scan of what is actually running and where the gaps are.
Stay current as your environment changes. Continuous monitoring means your posture is always up to date, and new gaps surface in near real time rather than at your next annual review.
Fix what the assessment or monitoring surfaces. Tactical issues can be resolved quickly with Oscar. Larger programs use the DR Workflow with human-approved gates at every material step.
Every engagement starts with an assessment. It delivers a verified picture of your gaps in days and becomes the brief for any remediation that follows.
Verify your actual backup coverage, validate recovery targets against live configuration, and get a prioritized gap report and audit-ready DR Plan in days. The starting point for most resilience engagements.
What you receive
Know what agents are running in your cloud, what they can access, and where the risk concentration is. Being resilient in 2026 means accounting for the agents that are now part of your infrastructure.
What you receive
The assessment tells you exactly what needs fixing. What happens next depends on the scope and complexity of the issue.
Oscar lives in your engineers' CLI and connects to the tools already configured on their workstations. For contained, lower-risk issues surfaced by an assessment, Oscar can investigate the gap, propose a specific remediation, and execute it with your engineer's approval. No new permissions required.
A resource shows as uncovered. Oscar identifies the correct backup policy, drafts the configuration change, and applies it on approval. The Context Graph updates immediately.
Recovery targets do not match live configuration. Oscar traces the discrepancy to its source, explains what changed, and proposes the corrective action.
An agent carries broader permissions than its function requires. Oscar maps the delta and surfaces a scoped-down credential proposal for your team to review.
When the assessment surfaces a broader program of work, the Disaster Recovery Workflow implements the findings at scale. AI agents execute the remediation. Humans approve every material decision. An immutable audit trail is produced throughout.
Coverage gaps across dozens of accounts and regions remediated through an AI-governed workflow with human approval gates. No manual coordination across teams.
Ongoing coverage verification, RTO and RPO validation, drift alerts, and scheduled recovery drill management. Your DR posture stays current without recurring manual effort.
Every agent action, human approval, and gap closure is recorded with full provenance. Compliance evidence for regulators and insurers is generated automatically, not assembled before audits.
Accountable for business continuity commitments. The last audit exposed gaps nobody could explain. OpsCanvas produces a defensible, evidence-backed assessment you can stand behind and a continuous program that stays current.
Manually managing backup configuration across dozens of accounts and regions with no consolidated view of coverage. OpsCanvas delivers automated scanning, verified gap reports, and drift alerts without requiring additional engineers to babysit the process.
Ransomware and insider threat exposure requires verified immutability and a clear picture of what agents can touch. OpsCanvas delivers proven immutability testing, encryption audit, agent blast radius analysis, and audit-ready DR documentation.
OpsCanvas does not replace your backup or resilience vendors. It validates your posture against what they are actually protecting and adds the multi-cloud, agent-aware layer they were not built for.
| Tools you run | What they do | What OpsCanvas adds |
|---|---|---|
| Backup and DR Rubrik, Veeam, Druva, Cohesity | Capture and restore data. Snapshots, replication, recovery jobs. | Verified DR posture against what is actually running. Backup tools store the data; OpsCanvas validates that RTO and RPO targets match live configurations and surfaces coverage gaps before an incident. |
| Cloud-native Resilience AWS Resilience Hub, Application Recovery Controller | Assess application resilience and orchestrate failover within a single cloud. | Multi-cloud dependency map and agent-aware posture. Resilience Hub assumes you know what is running; OpsCanvas tells you what is there and how AI agents have changed it. |
| Observability Datadog, New Relic, Splunk Observability | Collect metrics, logs, and traces. Dashboards, alerts, anomaly detection. | Agent-action telemetry and decision trace they cannot see. Datadog tells you a service degraded; OpsCanvas tells you which agent touched what, when, and with whose approval. |
| Compliance Platforms Vanta, Drata, AuditBoard | Prove you have a policy and that controls are in place. | Runtime evidence that agents followed the policy, not just that the policy exists. Compliance platforms prove attestation; OpsCanvas proves operational reality. |
Every Cloud Resilience engagement starts with a scoped assessment that produces a verified picture of your posture. From there, monitoring keeps you current and remediation closes the gaps.