PHASE 3 — IN DEVELOPMENT

AI DevSecOps Pipeline That Catches Every Vulnerability Before Production

Devon Pulse — Lead AI DevSecOps Pipeline Architect

Your CI/CD pipelines ship code fast — but security is an afterthought. Secrets leak into repos. Vulnerable dependencies reach production.Devon Pulse embeds security into every build with 100% exposed secret detection, pre-production vulnerability catch across all repos, and security gate enforcement in every pipeline. Ship fast. Ship secure.

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Download Underwriting Brief

100%

Exposed Secret Detection

100%

CVE Coverage All Services

All

Vulns Caught Pre-Prod All Repos

100%

Security Gate Enforcement

$1,000/mo

Starting Price

THE PROBLEM

The Problem Your CI/CD Pipeline Creates Every Deployment

Your development teams ship code daily. Speed is the priority. But security is bolted on after the fact — if at all. Secrets get committed to repos. Vulnerable dependencies pass undetected. And compliance gaps are discovered in production, not in the pipeline.

According to GitGuardian's 2025 State of Secrets Sprawl report, over 12.8 million new secrets were detected in public GitHub repositories in 2024. Most organizations discover exposed secrets only after they have been exploited.

No security in CI/CD

Most pipelines lack integrated security scanning. SAST, DAST, and SCA are run separately — if at all — and results are not gated. According to the SANS Institute, only 36% of organizations have fully automated security scanning in their CI/CD pipelines.

Exposed secrets in repos

API keys, database passwords, and access tokens are committed to repositories daily. According to GitGuardian,the average enterprise has over 3,000 exposed secrets across their codebase. Each one is a potential breach vector.

Compliance gaps in deployments

Regulated industries require security evidence for every deployment. Without automated security gates, compliance teams must manually verify each release — slowing deployments and creating audit gaps. DORA and SOC 2 require demonstrable security controls in the deployment process.

JOB DESCRIPTION

What Devon Pulse Does — Job Description

Devon Pulse is a Lead AI DevSecOps Pipeline Architect that operates across your CI/CD pipelines as a dedicated security automation specialist.

DEVON PULSE

Lead AI DevSecOps Pipeline Architect | FF-DSO

Not Built — In Development

Reports To

Your CTO / Head of DevOps / SRE Lead

Works With

Existing CI/CD platforms, source
control, and artifact registries

Deployed In

Phase 3 (shadow mode first)

KEY RESPONSIBILITIES

Scan every commit for vulnerabilities, exposed secrets, and dependency risks across all repos

Detect 100% of exposed secrets — API keys, tokens, passwords, certificates

Enforce security gates at every pipeline stage — block non-compliant builds from production

Provide full CVE coverage across all services with continuous dependency scanning

Minimize scan-to-remediation time with context-specific fix suggestions

AUTONOMY MODEL

Low risk — Acts autonomously (scanning, known vuln blocking, secret detection)

Medium risk — HITL by default (configurable)

High risk — ALWAYS human review (non-negotiable)

Kill switch : Disable instantly

All

Vulns Caught Pre-Production

repos every commit scanned

100%

Exposed Secrets Detection

API keys, tokens ,passwords, certs

All

CVE Coverage

services continuously scanned

100%

Security Gate Enforcement

every pipeline enforced

Minimized

Scan-To-Remediation Time

with AI-guided fix suggestions

All

Dependency Scanning

manifests continuously monitored

All

IaC Scaning Coverage

templates and configs validated

100%

Audit Trail Coverage

every scan logged

HOW IT WORKS

How the AI DevSecOps Pipeline Works with Devon Pulse

Devon Pulse integrates into your existing CI/CD platforms and source control systems — no pipeline migration. Here is how security is embedded into every build:

Scan

Every code commit triggers automated scanning. Devon Pulse runs SAST(static analysis), SCA (dependency scanning), and secret detection on every commit, pull request, and build. Pipeline configurations and infrastructure-as-code templates are also scanned for misconfigurations.

Detect

Vulnerabilities, exposed secrets, outdated dependencies, and CVEs are identified across all repositories and services. Each finding is:
• Classified by severity (critical, high, medium, low)
• Mapped to CVE databases with exploitability scoring
• Prioritized by business impact and attack surface

Gate

Security gates enforce your policies at every pipeline stage:
• Critical vulnerabilities → Build blocked
• Exposed secrets → Deployment stopped
• Non-compliant configurations → Rejected
• Gate criteria configurable per environment and pipeline

Remediate

Devon Pulse provides context-specific fix suggestions:
• Fix recommendations in the pull request or IDE
• Dependency upgrade paths with compatibility analysis
• Secret rotation guidance with alternative storage
• Every finding and remediation is logged with immutable audit trail
Your developers ship fast. Your security team sleeps well.

NIST SSDF

Secure Software Development Framework requirements

OWASP

Top 10 vulnerability categories and secure coding standards

SOC 2

Change management, security controls, and deployment evidence

DORA

ICT change management and deployment resilience requirements

PCI DSS

Secure development and deployment requirements for payment systems

ISO 27001

Secure development lifecycle and change management controls

ROI — AI DEVSECOPS PIPELINE vs HIRING vs LEGACY TOOLS

AI DevSecOps Pipeline Cost Comparison — 2026

How does Devon Pulse compare to hiring AppSec engineers or using legacy scanning tools?

Criteria	Hire 3 AppSec Engineers	Legacy Scanning Tools	Devon Pulse
Annual cost	$540K-$1.05M (salary + benefits)	$150K-$500K (multiple tools)	$12K/year ($1,000/mo)
Scanning coverage	Manual, sample-based	Tool-dependent, gaps common	100% every commit, every repo
Secret detection	Periodic audits	Pattern-based, high false positive	100% detection, low false positive
Security gate enforcement	Manual reviews	Partial (if configured)	100% automated, every pipeline
Scan-to-remediation time	Days to weeks	Hours to days	Minutes (AI-guided)
CVE coverage	Varies by engineer	Tool-dependent	All services, continuously
Scales with repos	Hire more ($$)	License more ($$)	Auto-scales
Available 24/7	No (shifts needed)	Yes (scanning only)	Yes (scanning + gating + remediation)
Audit trail	Manual	Partial	100% immutable, per scan

Key insight: According to GitGuardian, the average enterprise has over 3,000 exposed secrets across their codebase. IBM reports the average breach cost from unpatched vulnerabilities is $4.45 million. AppSec engineers average $130,000-$180,000 per year (Glassdoor). Devon Pulse starts at $1,000/month and provides continuous pipeline security that scales with your development velocity.

Sol Runnr

Senior AI Service Reliability Engineer

Monitors the services that Devon's secure pipeline deploys to production

Learn now

Stella Simulant

Senior AI Staging & Simulation Lead

Generates synthetic test data for the security tests Devon runs in the pipeline

Learn now

Dasha Relia

Lead AI Compliance-Reliability Engineer

Ensures compliance policies are embedded in the same pipelines Devon secures

Learn now

TRUST BUILDERS

Built for CTOs, DevOps, and SRE Teams

Configurable Autonomy

Low risk: Devon acts autonomously for scanning, known-vulnerability blocking, and secret detection.
Medium risk: HITL by default (configurable).
High risk: Always human review for production security gate overrides and critical vulnerability exceptions. You set the threshold per pipeline.

Kill Switch

Disable Devon Pulse instantly. No system impact. No downtime. One click. Pipelines continue running with existing security configurations.

Shadow Mode

Run Devon Pulse on your live pipelines. Scanning and detection only — no blocking, no gating. Validate detection accuracy and discover your security gaps before enabling active enforcement.

Explainability

Every scan finding, gate decision, and remediation recommendation includes clear context — which vulnerability, what severity, why it matters, and how to fix it. Developers get actionable guidance, not cryptic scan outputs.

Audit Trail

Every scan, finding, gate decision, and remediation action is logged with immutable, tamper-evident records. Commit → scan → finding → gate → remediation → deployment → outcome.

No Migration

Plugin integration. Devon connects to your existing CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, Azure DevOps). Your pipelines stay untouched. Security is added, not replaced.

Thoughts That Matter

Insights on AI Security,Compliance
& Financial Automation

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Questions? We Have Answers

Frequently Asked
Questions

An AI DevSecOps pipeline works by embedding security scanning into every stage of the CI/CD process. Systems like Devon Pulse by FluxForce scan every code commit for vulnerabilities, detect exposed secrets, enforce security gates that block non-compliant builds, and provide AI-guided remediation — catching every issue before it reaches production.

Secret detection identifies exposed credentials in source code and pipeline configurations — API keys, passwords, tokens, certificates. It is critical because exposed secrets are a leading cause of data breaches. According to GitGuardian, over 12.8 million new secrets were detected in public GitHub repos in 2024. The average enterprise has 3,000+ exposed secrets. Devon Pulse achieves 100% detection.

AI catches vulnerabilities pre-production by running SAST, DAST, and SCA at every pipeline stage. Devon Pulse integrates into your CI/CD workflow to scan every commit, build, and deployment candidate. AI prioritizes findings by exploitability and business impact — so developers fix the most critical issues first. Security gates block vulnerable builds from reaching production automatically.

A security gate is a pipeline checkpoint that blocks deployment if security criteria are unmet. AI DevSecOps pipeline enforcement means every build is automatically evaluated against your security policies. Devon Pulse enforces 100% security gate compliance — no critical vulnerabilities, no exposed secrets, all dependencies patched — before any build reaches production.

An AI DevSecOps pipeline uses configurable autonomy. Low-risk actions (scanning, alerting, blocking known vulnerabilities) are autonomous. Medium-risk actions (policy updates, exception approvals) default to human review but can be configured. High-risk actions — overriding production security gates, granting critical vulnerability exceptions — always require human review. Your CTO sets the threshold per pipeline.

Scan-to-remediation time measures how long it takes to fix a detected vulnerability. Traditional processes take days to weeks. Devon Pulse minimizes this by providing AI-generated fix suggestions directly in the developer's pull request or IDE — including dependency upgrade paths, code fixes, and secret rotation guidance. According to the SANS Institute, organizations with automated remediation guidance fix critical vulnerabilities 60% faster.

FluxForce pricing is customized based on transaction volume, regulatory requirements, and deployment model. Contact our team for a tailored quote.

AI DevSecOps Pipeline That Catches Every Vulnerability Before Production

Devon Pulse

100%

100%

All

100%

$1,000/mo

The Problem Your CI/CD Pipeline Creates Every Deployment

No security in CI/CD

Exposed secrets in repos

Compliance gaps in deployments

What Devon Pulse Does — Job Description

DEVON PULSE

Measured Performance — Not Promises

How the AI DevSecOps Pipeline Works with Devon Pulse

Scan

Detect

Gate

Remediate

Want to See Your Pipeline Security Gaps?

Regulatory Frameworks Supported

NIST SSDF

OWASP

SOC 2

DORA

PCI DSS

ISO 27001

What Your DevOps Team Sees

AI DevSecOps Pipeline Cost Comparison — 2026

Agents That Work Best with the AI DevSecOps Pipeline

Sol Runnr

Stella Simulant

Dasha Relia

Built for CTOs, DevOps, and SRE Teams

Configurable Autonomy

Kill Switch

Shadow Mode

Explainability

Audit Trail

No Migration

Insights on AI Security,Compliance & Financial Automation

Zero Trust banking: how CISOs secure core systems in 2026

AML transaction monitoring: how AI cuts false positives by 60%

Deepfake identity fraud: 5 detection gaps banks overlook

Frequently Asked Questions

Insights on AI Security,Compliance
& Financial Automation

Frequently Asked
Questions