Secrets risk
Keys end up in the wrong place
Credentials for screening APIs, data stores and payment gateways get pasted into config files and scripts. One leaked key can expose customer and case data.
Risk and Governance squad
Devon Pulse — Lead AI DevSecOps Pipeline Architect
AI DevSecOps engineer with change evidence built in
Devon Pulse — Lead AI DevSecOps Pipeline ArchitectDevon Pulse is an AI agent that scans code, dependencies and release pipelines for vulnerabilities and exposed secrets before anything ships. He focuses on the systems your compliance team relies on, such as monitoring, screening and case management. Findings go to your engineers, and every release leaves a change record an examiner can follow.
Devon Pulse
Release 7.3 scanned
IllustrativeFlagged for review
Finding severity · high
Flag explained
“API key in a config file; dependency with a known vulnerability.”
Job description
What Devon Pulse does Job description
Devon Pulse is a Lead AI DevSecOps Pipeline Architect. He sits in your release pipeline, scans what's about to ship and records what was found and who signed off.
AI AGENT · RISK AND GOVERNANCE SQUAD
DEVON PULSE
Lead AI DevSecOps Pipeline Architect
REPORTS TO
Your Head of Engineering, with the CISO informed
WORKS WITH
Your source code repositories, CI/CD pipelines, package registries and ticketing system
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Scan code and configuration for exposed secrets, insecure patterns and risky changes before release
02Check dependencies against known vulnerability data and flag the ones that matter for your systems
03Send findings to the engineer who made the change, with the file, the risk and a suggested fix
04Hold a release for review if you set it to, when a high-severity finding is open
05Keep a change record for each release: what changed, what was scanned, what was found and who approved it
AUTONOMY MODEL
LOWMEDIUMHIGH
Low risk
Can log and close low-severity findings, if you allow it
Medium risk
Goes to the engineering lead by default
High risk
Always goes to the engineering lead and CISO
You set the threshold per rule.
Kill switch: Turn Devon off at any time
Options
How the options compare
| CRITERIA | Manual code review | Standalone code scanner | Devon Pulse |
|---|---|---|---|
| When issues are found | When a reviewer spots them | On each scan | On each change, before release |
| Who decides | Reviewer | Scanner rules, then engineer | Engineering lead and CISO, inside bands you set |
| Knows which systems compliance relies on | If the reviewer does | No | Yes, those code paths get extra checks |
| Change record for examiners | Review comments | Scan reports | One record per release: diff, scans, findings, approver |
| Cover across all repositories | Limited by reviewer time | Yes | Yes |
| Where it's weaker | Slow and depends on who reviews | Noisy, with no compliance context | Needs tuning to your codebase, and won't replace design reviews or penetration tests |
Works best with
AI agents that work best with Devon Pulse
Devon secures the release. These agents check what it does once it's live.
RISK AND GOVERNANCE
Dasha Relia
Lead AI Compliance-Reliability Engineer
Adds compliance sign-off gates to the same release, so rule and model changes are approved before go-live.
Meet DashaRISK AND GOVERNANCE
Sol Runnr
Senior AI Service Reliability Engineer
Watches monitoring and screening after release and links any degradation back to Devon's change record.
Meet SolTHREAT
Stella Simulant
Senior AI Staging & Simulation Lead
Tests the release on synthetic transactions before it reaches production.
Meet Stella
Thoughts that matter
Insights on AI agents, financial crime and compliance
What we're learning about AML, fraud and the evidence examiners ask for.
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Questions? We Have Answers
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Frequently Asked Questions
Still have questions?
Talk to the people who build the agents. We'll answer per capability, yes or no.
Devon Pulse scans code, dependencies and pipelines for vulnerabilities and exposed secrets before release. He gives extra attention to the systems your compliance team relies on and keeps a change record for every release that an examiner can follow.
He can hold a release for review if you set it to, when a high-severity finding is open. A named person decides whether it ships. Low-severity findings can close with a reason only where you allow it. A kill switch turns Devon off without touching your pipelines.
No. Devon can read results from scanners you already run and adds compliance context, ranking and a change record on top.
Devon scans your repositories and pipelines and records what he finds, but no release is held. Your engineers compare his findings with their current tools before you turn on any autonomy.
Read access to your source repositories, CI/CD pipeline events, dependency manifests and ticketing system. He doesn't need production data.
Examiners often ask how a change to a monitoring scenario or screening rule was tested and approved. Devon's change record shows the diff, the scans, the findings and the named approver in one place.
FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.