Custom AI agent · IT & Security
AI Data Backup Verification Agent
Know that your backups can actually bring the business back.
Verify backup coverage, integrity, freshness, and restore readiness before a crisis turns an assumption into a risk.
- Earlier visibility into missing, stale, failed, or incomplete backup jobs and protected workloads
- Repeatable evidence that links backup results to retention, encryption, ownership, and recovery expectations
- Focused restore-review queues that help teams test the paths that matter most
Starting at $300 USD/month
Starting price is $300 USD/month for a tailored solution. Your final proposal defines the protected workloads, backup sources, integrations, verification cadence, usage, deliverables, hosting, support, and payment terms. Restore testing or regulated-scope complexity is scoped before work begins.
What is an AI data backup verification agent?
An AI data backup verification agent helps infrastructure, security, and operations teams determine whether critical data is being protected according to the agreed policy and whether a recovery path has been meaningfully tested. It can compare backup jobs, protected workload inventories, retention settings, encryption and ownership metadata, integrity signals, and restore evidence; identify gaps; and prepare reviewable verification or restore-test packets. Tranki configures the workflow around your data classes, recovery objectives, backup platforms, evidence requirements, incident process, and human approvals. The agent improves assurance and follow-up; it does not claim that a successful job proves recoverability, alter retention, delete backups, or restore production data without authorization.
What it can verify
Check protection coverage
Compare critical workloads, datasets, applications, and owners with approved backup inventories to surface unprotected, newly added, or unexpectedly excluded assets.
Review backup health
Monitor job completion, freshness, retention, encryption, integrity signals, storage location, and policy exceptions while preserving source timestamps.
Prepare restore evidence
Assemble restore-test plans, evidence checklists, sample recovery results, dependencies, and unresolved questions for authorized technical owners.
Route resilience gaps
Prioritize failed jobs, stale copies, missing owners, retention conflicts, and restore findings and send them to the responsible queue without changing the source system.
Where it can help
Critical workload coverage
Keep applications, databases, file stores, SaaS exports, and infrastructure assets aligned with the backup policy and recovery ownership model.
Backup operations review
Give platform teams a focused queue of failed, delayed, incomplete, or policy-exception backup jobs with supporting evidence.
Recovery readiness exercises
Coordinate repeatable restore verification for priority workloads, including dependencies, access, validation, and post-test findings.
How it works
A step-by-step workflow your team can review before launch.
1. Define the protection policy
Tranki maps data classes, critical workloads, recovery objectives, backup sources, retention, encryption, owners, evidence, and restore-test requirements.
2. Gather backup evidence
The agent reads permitted inventory, job, storage, policy, integrity, and restore sources while preserving timestamps, identifiers, and provenance.
3. Compare coverage and readiness
It identifies missing protection, stale or failed jobs, policy conflicts, and restore gaps while separating observed evidence from assumptions.
4. Review, test, and follow up
Authorized owners review the findings, conduct approved restore tests or remediation, record results, and route unresolved resilience risks.
Built around your business
What we configure
- data classes, applications, databases, files, SaaS sources, backup platforms, owners, criticality, recovery objectives, retention, encryption, storage regions, and verification cadence
- connections to approved backup, cloud, infrastructure, database, storage, identity, ticketing, monitoring, compliance, and reporting systems using least-privilege access
- checklists, restore-test templates, alert thresholds, notification channels, languages, redaction rules, evidence retention, exception workflows, and dashboards
What we need from you
- an approved backup and recovery policy, protected-workload inventory, data owners, recovery objectives, retention and encryption rules, and representative job and restore evidence
- authenticated connections to permitted backup, infrastructure, storage, identity, ticketing, monitoring, and reporting sources with privacy and retention controls
- test cases covering failed jobs, stale copies, excluded workloads, partial backups, corrupt archives, retention conflicts, expired credentials, restore dependencies, and successful and failed recovery tests
Clear boundaries before launch
What it will not do
The agent does not delete backups, modify retention, disable protection, restore production data, declare a system recoverable, or certify regulatory compliance without authorized human and specialist review. It should not treat a completed backup job as proof of usable recovery, expose sensitive data or recovery credentials unnecessarily, infer criticality from a filename alone, or recommend removing redundancy solely because a copy appears unused. Security incidents, legal holds, regulated data, and high-impact recovery decisions require the appropriate owners.
How success is measured
Track protected-workload coverage, backup freshness, failed-job age, integrity-signal completeness, restore-test completion, recovery-evidence quality, policy-exception age, owner completeness, false-alert rate, time to remediate, recovery objective alignment, and human correction rate. Sample verification results against source jobs and controlled restore evidence to distinguish successful backup from successful recovery.
Frequently asked questions
What does an AI data backup verification agent do?
It compares protected workloads with backup evidence, checks freshness and policy signals, identifies gaps, and prepares reviewable verification or restore-test follow-up.
Does a successful backup job prove the data can be restored?
No. A successful job is one signal; recoverability also depends on integrity, retention, dependencies, access, and an appropriate restore test.
Can it run a restore automatically?
Not by default. It can prepare the plan and evidence checklist, while an authorized technical owner controls the restore environment and execution.
Can it monitor more than one backup platform?
Yes, when the platforms and related inventory or monitoring sources are approved and mapped to the configured protection policy.
How does it handle excluded or unprotected workloads?
It identifies the coverage gap, preserves the source context, and routes it to the accountable owner rather than silently changing protection settings.
Can it support recovery objective reviews?
Yes. It can compare configured backup and restore evidence with your recovery objectives and flag missing, stale, or conflicting information for review.
What is included in the $300/month starting price?
The starting price covers a scoped, tailored solution. The final proposal defines workloads, verification volume, integrations, deliverables, support, hosting, and payment terms.
