Secure SDLC Audit

Security gaps compound.
Catch them before they ship.

A single structured engagement that maps your software development lifecycle from code to cloud. We find what is broken, rank what matters, and hand you a remediation roadmap your team can act on immediately.

One-Time Engagement Code to Cloud Coverage Actionable Findings No Retainer Required
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Every layer of your delivery process, end to end.

Most organizations discover security gaps reactively. A breach, a failed audit, a compliance requirement. We audit proactively, before something goes wrong and before a larger build begins on a broken foundation.

Threat modeling. We map your system architecture against real attack vectors, identifying where risk concentrates and where your defenses have gaps.

Dependency and supply chain audit. Third-party libraries, open source components, and package versions reviewed for known vulnerabilities and license risk.

Secrets and access control review. Hardcoded credentials, misconfigured IAM roles, overpermissioned service accounts, and exposed API keys surfaced before they become incidents.

Deployment and infrastructure posture. Cloud configuration, container security, network segmentation, and CI/CD pipeline exposure reviewed against current best practice.

SDLC process review. Code review practices, branch protection, secrets management workflows, and developer security habits evaluated across the full delivery cycle.

Compliance gap mapping. Findings mapped to relevant frameworks (SOC 2, HIPAA, PCI, ISO 27001 as applicable) to support your certification or customer questionnaire requirements.

What you receive

Findings you can act on. Not a report that collects dust.

Every deliverable is structured to be immediately usable by your engineering team and legible to your executive or board audience.

Findings Report

Every identified risk documented with severity, evidence, and context
Risk tier breakdown: Critical, High, Medium, Low
Plain-language executive summary included
Technical detail sufficient for your engineers to reproduce and fix

Remediation Roadmap

Prioritized fix sequence based on risk impact and effort
Quick wins separated from longer-term structural changes
Ownership and team assignment recommendations
Timeline guidance based on your team capacity

Readout Session

Live walkthrough of findings with your technical team
Q&A on any finding in the report
Prioritization discussion aligned to your next sprint or release
Recorded and shared for async review

How the engagement runs

Structured. Time-boxed. No disruption to your team.

The audit is designed to be completed in two to three weeks with minimal lift from your side. We need access, context, and a kick-off call. The rest is on us.

Step 01

Scoping Call

We align on what is in scope, what systems are covered, and what your primary concerns are. Takes 60 minutes. Sets up everything that follows.

Step 02

Access and Discovery

Read-only access to your codebase, infrastructure config, and CI/CD pipelines. We do the work. Your team keeps shipping.

Step 03

Audit and Analysis

We work through every review area systematically. Findings documented in real time as they surface. Typically two to three weeks depending on scope.

Step 04

Report and Readout

Full findings report delivered. Live readout session with your team. Remediation roadmap handed off. You own everything from that point forward.

What comes next

The audit is a beginning, not an end.

Most clients use the findings to inform a broader engagement. Fixing what we find, building on a cleaner foundation, or layering in AI capabilities their current posture would not safely support.

AI-Augmented Build

Once your SDLC is secure, we build on it faster. Our AI-amplified engineering team delivers custom software, integrations, and platform work at a fraction of traditional dev team cost.

How AI-Augmented Works →
Advisory Retainer

Some clients move into an ongoing fractional CTO relationship. We stay in your corner as architecture evolves, vendors get evaluated, and the next build phase begins.

Fractional CTO & Advisory →
MCP and Agentic Readiness

If AI agents are on your roadmap, your existing systems need to be connectable. The audit surfaces what would need to change and we can build the MCP layer that makes it possible.

How MCP Works →

Ready to start

The conversation starts with what you have, not what you wish you had built.

Tell us what you are building, what you are concerned about, or what a customer or auditor has asked you to prove. We will scope the engagement from there and give you a straight answer on what is involved.

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