Onam Security
Remediation & Auto-Fix

How do findings actually get fixed instead of just counted?

A finding without a fix is just a well-formatted complaint.

The remediation engine generates the specific fix for each finding — CLI command, Terraform snippet, or pull request against your repository — and explains why it matters in language an engineer will act on.

10,000+
security rules
7
cloud providers
< 5 min
to first finding
100%
agentless
Why this matters

Security tools are very good at producing findings and very bad at producing outcomes.

The queue grows, the dashboard turns red, and the engineering team receives a ticket saying 'S3 bucket policy is overly permissive' with a link back to the tool. Nobody disagrees that it should be fixed. It does not get fixed, because turning that sentence into a correct change against a specific bucket in a specific account is the actual work, and the tool left it undone.

The risk of not knowing

If it is not surfaced today, it is exposed today. Attackers do not wait for your quarterly review — and neither do auditors.

Real-time detection, not periodic audits
How does it actually work?

The mechanism, not the marketing

  1. 1

    Every finding carries a remediation record generated for that specific resource — not a generic knowledge-base article.

  2. 2

    Cloud misconfigurations produce an exact CLI command, a Terraform snippet matching your resource, or console steps.

  3. 3

    Code and IaC findings from SAST, DAST and SCA are remediated by the code-fix engine, which proposes a patch and can open a pull request against the repository the finding came from.

  4. 4

    Vulnerability findings produce a version-targeted upgrade path, checked against the dependency graph so the suggested bump does not break a transitive constraint.

  5. 5

    A threat narrative generator explains the finding as an attack story — what an attacker gains, and what the fix removes — so prioritisation conversations are about impact rather than severity labels.

What do you actually get?

Specific outputs, measurable outcomes

Per-resource remediation for every finding
CLI, Terraform, or console steps
Pull-request generation for code and IaC findings
Version-targeted dependency upgrade paths for vulnerabilities
Threat narratives explaining attacker impact in plain language
Bulk remediation for findings sharing a root cause
Suppression workflow with justification and expiry for accepted risk
Remediation tracking
what was fixed, by whom, and when
Verification on the next scan that the fix actually landed
See it live

Remediation & Auto-Fix in the real console.

Not a mockup — the actual Onam console on a live demo account, showing exactly what your team sees.

Dashboard
Run Scan
0
Risk Score
▲ +4 this week
0
Critical Findings
▲ 3 new today
0
Cloud Assets
▲ 231 discovered
0%
Compliance Score
CIS · NIST · SOC 2
Engine Status
IAM
Network
Compliance
CDR
Risk
Encryption
Container
Data Sec
Vuln
Finding Severity
Critical12
High89
Medium234
Low512
Info1,204
Top Critical Findings
Correlating findings…
A
G
A
Your whole cloud on one screen
Risk score, engines, severity and connected clouds — 12,481 assets live
Clip length
12s
Data
Demo account
FAQ

Questions we get a lot

Not without your explicit action. The platform connects with read-only credentials by default and generates remediation for you to review and apply. Automated application is opt-in, per finding type, and always leaves an audit trail.
Ready to see it live

Ready to see Remediation & Auto-Fix in your cloud?

Connect a read-only role in three minutes. Your first findings surface in under five.