Revolte
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Security & Performance

Security & Performance

Revolte helps engineering teams detect, remediate, and validate security and performance issues across live systems - so every fix ships with proof attached.

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Built for teams who have to prove a system is safe and fast, not just report that it is

Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
AmazonGoogleCognizantVerizonIndiumAkamaiPayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
Amazon
Google
Cognizant
Verizon
Indium
Akamai
PayPal
AmazonGoogleCognizantVerizonIndiumAkamaiPayPal

Security findings don't slow teams down. Unproven fixes do.

Every team already has scanners, dashboards, and a backlog of findings. What's missing is the path between them - a governed route from a real finding to a validated fix somebody is willing to sign off on.

Operate apps

Keep apps healthy, secure, and reliable-every day.

Revolte software delivery workflow diagram showing Zero-Touch Development, Command Line Interface, Quality assurance & release, and Production Deployment stages
Revolte software delivery workflow diagram showing Zero-Touch Development, Command Line Interface, Quality assurance & release, and Production Deployment stages

What Revolte executes for security and performance teams

Production visibility preview showing centralised dashboards

Close findings, don't just file them

Turn scanner output into remediated, validated code.

  • Reachability analysis

    Separates exploitable paths from noise in the dependency graph.

  • Fix generation

    Produces the patch or upgrade and resolves what it breaks.

  • Closure verification

    Re-runs the scan against the fix before the PR is reviewable.

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Cut critical exposure without freezing the release train

SWFI case study - moved from requirement to live system faster without building separate workflows for coding, testing, and deployment

Quote icon Critical and high findings appeared on a live payments platform while release frequency stayed steady through governed remediation and policy gates.

Quote icon

A provable way to stay secure and fast

01

Find what actually matters

Findings are ranked by exploitability, reachability, and blast radius, so remediation effort goes to the risk that is real rather than the risk with the loudest score.

02

Fix with proof, not just a patch

Every remediation is re-scanned, benchmarked, and regression-checked before it becomes reviewable. A closed finding is demonstrated, not asserted.

03

Performance is a gate, not a postmortem

Latency and resource cost are measured against a recorded baseline on every change, so degradation is caught before users find it.

04

Compliance evidence is a byproduct

Policy checks, control mappings, and the trail behind each decision are generated as the work happens instead of assembled before an audit.

Designed for security-critical delivery work

Scan and validation comparison illustration

Proof, not just findings

Every remediation carries the scan result, benchmark, and validation that closed it.

Proof, not just findings

Every remediation carries the scan result, benchmark, and validation that closed it.

Risk and signal mapping illustration

Security and speed in one pass

Both are validated in the same execution flow instead of competing for the same release window.

Security and speed in one pass

Both are validated in the same execution flow instead of competing for the same release window.

Policy gate illustration

Policy enforced at execution time

Standards run as gates inside the workflow, not as a review stage bolted on at the end.

Policy enforced at execution time

Standards run as gates inside the workflow, not as a review stage bolted on at the end.

Runtime environment illustration

Works against your real runtime

Live traffic patterns, actual dependency trees, and production load shape what gets fixed first.

Works against your real runtime

Live traffic patterns, actual dependency trees, and production load shape what gets fixed first.

Harden live systems without slowing the release train

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Frequently Asked
Questions

Still have questions?Our team can help you!
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Yes. Revolte is designed to operate in live production environments after software is deployed. Revolte’s AI agents support monitoring, incident detection, remediation workflows, validation, observability, governed releases, and runtime operations across active production systems while engineers maintain operational oversight and approval control.

Still have questions?Our team can help you!
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