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Rivac AI Labs
Security, Risk & Compliance

Application Security Engineer

Most vulnerabilities get shipped, not hacked in, they're written into the codebase and merged without anyone catching them. This service embeds security into the software development lifecycle itself: wiring SAST and DAST scanning into CI/CD, running manual secure code reviews on the highest-risk code paths, and triaging findings so engineering fixes what actually matters instead of drowning in false positives. It's built for engineering teams that ship fast and need security checks that keep pace without becoming a bottleneck. The result is a pipeline that catches injection flaws, auth bugs, and insecure dependencies before they reach production, not a report that surfaces six months after the fact.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Diagnose the current SDLC and identify where vulnerabilities are slipping through unchecked.

  2. 2

    Pilot SAST/DAST tooling on one repository or service to tune rules and cut false-positive noise before wider rollout.

  3. 3

    Review tuned findings and severity thresholds with engineering to agree on what blocks a merge versus what gets tracked.

  4. 4

    Roll out the integrated scanning and secure code review process across the codebase, with findings routed into existing dev workflows.

What You Get

Deliverables from this engagement

  • SAST/DAST tooling integrated into CI/CD
  • Secure code review of highest-risk code paths
  • Tuned finding-triage rules with severity thresholds
  • Documented secure-coding standards for the team

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Single Repository

  • Codebase Under Review
  • Local SAST Tool Run
  • Dependency List Reviewed

Manual Triage

  • Findings Spreadsheet
  • Severity Assigned Manually
  • False Positives Filtered Out

Fix Cycle

  • PR Comment with Finding
  • Engineer Fixes Code
  • Manual Recheck

Baseline Standards

  • Secure Coding Checklist
  • Standards Shared With Team
  • Checklist Updated From New Findings

Cloud-Native / Managed Services Architecture

Managed Security Tooling

  • Managed SAST SaaS
  • Managed DAST SaaS
  • Dependency Scanning Service

Managed CI CD

  • Cloud Runner Executes Scans
  • Artifact Registry Scanning
  • Ephemeral Build Environment

Findings Management

  • Findings Dashboard
  • Severity Thresholds Applied
  • Owner Auto Assigned per Finding

Outcomes

  • Merge Blocked on Critical Finding
  • Tracked Issue for Lower Severity
  • Fix Verified on Next Scan

Event-Driven & Automation-First Architecture

Triggers

  • Pull Request Opened
  • Staging Deploy Completed
  • Scheduled Nightly Scan

Automated Scanning

  • SAST Scan Auto Triggered
  • DAST Scan Against Staging
  • Findings Auto Deduplicated

Merge Gate

  • Findings Posted as PR Comments
  • Merge Blocked on Critical Severity
  • Auto Ticket Created for Tracked Issue

Feedback Loop

  • Engineer Pushes Fix Commit
  • Rescan Auto Triggered
  • Ticket Closed on Verified Fix

Enterprise-Grade & Compliance-Ready Architecture

Policy Enforcement

  • Security Gate Policy
  • Exception Approval Workflow
  • Severity Threshold Standard

Governed Scanning

  • SAST and DAST Across All Repos
  • SBOM Generated Per Build
  • Container Image Signing

Audit and Evidence

  • Audit Log of Every Scan and Approval
  • Compliance Evidence for SOC 2
  • Exception Approval Record

Redundancy

  • Scanning Across Multiple Environments
  • Regional Pipeline Redundancy
  • Failover Scan Runner Pool

AI-Augmented, Human-in-the-Loop Architecture

Code and Scan Data

  • Pull Request Diff
  • Raw SAST and DAST Findings
  • Historical Fix Patterns

AI Triage Engine

  • AI Deduplicates and Prioritizes Findings
  • AI Drafts Suggested Fix
  • AI Assigns Confidence Score

AppSec Engineer Approval Gate

  • Engineer Reviews AI Triage
  • Engineer Validates Suggested Fix
  • Engineer Overrides Low Confidence Calls

Merge Decision

  • Approved Fix Merged
  • Rejected Suggestion Sent Back to AI
  • Merge Blocking Decision Confirmed by Human

Integration-Heavy / Ecosystem-Connected Architecture

Client Toolchain

  • GitHub Actions or Jenkins
  • Jira Ticketing
  • Slack
  • Container Registry

AppSec Program Core

  • Scanning and Triage Engine
  • Secure Coding Standards Repository

Two Way Sync

  • Findings Synced to Jira
  • Critical Alert to Slack
  • Image Scan Results from Registry

Developer Workflow

  • IDE Plugin Feedback
  • GRC Platform Evidence Export
  • Onboarding Guide for New Engineers

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Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Application Security Engineer

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call