Cost to Build Application Security Software

The short answer

Application security software costs $55,000-$80,000 for an MVP (single-scanner SAST dashboard, vulnerability reporting, CI/CD integration) built in 12-16 weeks. A full platform with SAST, DAST, SCA, multi-tenant RBAC, and remediation workflows runs $160,000-$240,000 over 9-12 months. An enterprise-grade white-label platform with AI triage, compliance modules, and on-prem deployment options reaches $200,000-$350,000. Builds are triggered most often by Snyk's per-developer pricing cliff, Veracode's SaaS-only constraint, or an MSSP needing a rebrandable product. RaftLabs builds custom security platforms for MSSPs, DevSecOps teams, and ISVs embedding security into their product.

Key Takeaways

  • An MVP with a single-scanner SAST engine, vulnerability dashboard, PDF/CSV reporting, and CI/CD integration costs $55,000-$80,000 over 12-16 weeks.
  • Snyk's hardest pricing limit is the 10-developer cliff: at 11 developers, the Team plan ($3,000/year) forces an Enterprise upgrade starting at $30,000-$54,000/year for 50 developers. That jump is the most common trigger for evaluating a custom build.
  • Veracode's SaaS-only model blocks regulated buyers. Air-gapped networks, government contractors, and healthcare systems under HIPAA require on-premise or hybrid deployment that Veracode cannot provide.
  • MSSP white-labeling is the single most common reason to build instead of buy. Snyk, Checkmarx, and Veracode are branded products. None of them can be rebranded for client-facing MSSP delivery.
  • The false-positive rate from SonarQube's rule-based engine runs 40-60% on SAST findings. When developers stop trusting the tool and ignore its output, the build case answers itself.
  • Compliance modules (SOC 2, PCI-DSS 4.0, ISO 27001) are the biggest timeline drivers on enterprise builds. Each framework adds 6-10 weeks of architecture and reporting work.

Custom application security software costs $55,000-$350,000 to build. An MVP with a single-scanner SAST engine, a vulnerability dashboard, and CI/CD integration runs $55,000-$80,000 over 12-16 weeks. A full SAST/DAST platform with multi-tenancy, RBAC, and remediation workflows runs $160,000-$240,000. An enterprise-grade multi-tenant product with white-label branding, AI-assisted triage, and on-premise deployment reaches $200,000-$350,000. The application security market is projected to grow from USD 12.19 billion in 2025 to USD 23.45 billion by 2031 at an 11.5% compound annual growth rate (Source: MarketsandMarkets). That growth is not from new buyers discovering the category. Existing buyers are deciding that Snyk's pricing cliff, Veracode's SaaS-only constraint, and SonarQube's false-positive problem are worth solving by building something of their own.

What is application security software?

Application security software scans code, dependencies, and running applications for vulnerabilities before those vulnerabilities become incidents. The category covers three core testing methods: static analysis (SAST) scans source code before deployment, dynamic analysis (DAST) probes running applications for exploitable weaknesses, and software composition analysis (SCA) maps open-source dependencies against known CVE databases.

For teams evaluating a custom build, the business problem is not the scanning. The harder problem is the workflow that sits around it. Who gets notified when a critical finding lands? Who owns the fix? How does the finding move from a scanner output into a developer's backlog, get remediated, and get verified closed? Off-the-shelf tools do scanning adequately. They struggle with the organization-specific workflow, the compliance reporting format your auditors want, and the white-label packaging your clients expect.

Who builds custom application security software?

Most organizations building custom AppSec software are not competing with Veracode globally. They are in one of three situations.

Managed security service providers (MSSPs) need to deliver vulnerability scanning as a branded service to their clients. Snyk, Checkmarx, and Veracode are branded products. None can be rebranded. An MSSP that delivers Snyk scans to clients is presenting a competitor's brand inside their own service delivery, paying per-client license costs that destroy margin on managed security packages below the enterprise tier.

Enterprise DevSecOps and platform engineering teams at Series C-plus companies, public companies, and regulated businesses are running three to five scanning tools with findings scattered across disconnected portals. Their teams correlate data in spreadsheets. They need a unified vulnerability management layer that connects to their specific CI/CD environment, maps to their compliance obligations, and gives leadership a single risk view. According to research by Token Security, 35% of enterprises have already replaced at least one SaaS security tool with a custom-built alternative, and 78% expect to build more internal tools in 2026 (Source: Token Security, 2025 Enterprise Security Tooling Report).

ISVs and B2B SaaS companies embedding security into their product need a native integration, not a third-party tool bolted on. Regulatory clients in banking and healthcare require evidence of proprietary security controls in audit documentation. Pointing to a Veracode subscription does not satisfy an auditor asking about control ownership.

How much does it cost to build application security software?

These figures use a team rate of $35-$40/hour, which is RaftLabs' published rate. US agency rates at $150-$250/hour multiply these numbers by 3-5x.

TierWhat is includedTeamTimelineCost
V1: MVPSAST engine integration (Semgrep or CodeQL wrapper), single-language vulnerability detection, severity-scored dashboard, project management, PDF/CSV export, OAuth2 SSO, GitHub Actions and GitLab CI webhooks4 people12-16 weeks$55,000-$80,000
V2: Full platformEverything in V1 + DAST module, SCA dependency scanning, multi-tenant architecture, RBAC with custom roles, immutable audit log, remediation workflow with SLA tracking, API security testing5-6 people9-12 months cumulative$160,000-$240,000
V3: EnterpriseEverything in V2 + white-label branding per tenant, AI-powered false-positive triage, IAST runtime instrumentation, IaC security scanning, compliance reporting modules (SOC 2, PCI-DSS, ISO 27001), on-premise deployment7-8 people18-28 months cumulative$200,000-$350,000

What moves the range: the number of scan engines you integrate (each adds $15,000-$30,000 of engineering effort), the compliance frameworks you need to report against (SOC 2 and ISO 27001 each add 6-10 weeks), whether on-premise deployment is required, and whether you need white-label branding per tenant rather than a single-branded product.

What the build cost does not include

Budget separately for:

  • Penetration testing the platform itself before launch: $15,000-$40,000

  • Annual maintenance: 15-25% of build cost

  • Cloud infrastructure for running parallel scan jobs (EKS, SQS)

  • Compliance certification fees (SOC 2 Type II audit: $30,000-$80,000)

V1 feature breakdown

The failure mode on first-time AppSec builds is scope expansion. Teams add DAST before they have validated that developers are actually using the SAST findings. Then they add SCA. Then multi-tenancy. By month six, nothing has shipped and the backlog has tripled.

A V1 that does one thing well ships in 12-16 weeks and gives you real user feedback before the next investment.

  1. SAST engine integration wrapping Semgrep or CodeQL. Semgrep's open-source rule engine handles most common languages and is extensible with custom rules. CodeQL provides deeper semantic analysis but requires a GitHub licensing decision. Choose Semgrep for V1 and add CodeQL in V2 if the deeper analysis justifies the cost.

  2. Single-language or single-framework vulnerability detection. Supporting one language at launch is not a limitation. That constraint is what ships the product. You add languages in V2 once you know which ones your users actually scan.

  3. Severity-scored vulnerability dashboard (Critical, High, Medium, Low) with filtering by project, language, and finding type. The dashboard is the developer's daily workspace — the first place a security engineer looks each morning to see what landed overnight.

  4. Project and repository management. Users connect repositories, configure scan triggers, and view findings per project. The data model here matters more than the interface. A finding that cannot be traced back to its originating commit is noise.

  5. PDF and CSV export. Every audit requires a paper trail. Building a clean report export in V1 makes the first compliance conversation possible without a spreadsheet.

  6. OAuth2 SSO via Google or Microsoft. Enterprise buyers will not use a product that requires a separate password. SSO belongs in V1, not as a V2 addition after your first enterprise pilot has already stalled.

  7. CI/CD webhooks for GitHub Actions and GitLab CI. Scans triggered manually are scans that do not happen. Integration into the commit pipeline is what closes the loop.

V2 additions and their cost impact

Adding DAST (a DAST crawler plus injection testing against a running application) is the biggest engineering lift in V2. An open-source engine like OWASP ZAP or Nuclei handles the scanning layer, but building the infrastructure to run authenticated scans against staging environments in isolation adds $25,000-$40,000 of engineering work.

Multi-tenant architecture with per-tenant data isolation is the other major V2 investment. Getting this right from the beginning prevents a painful rewrite when your second client signs. It adds 4-6 weeks of architecture work upfront. Teams that skip it save time on paper and spend twice as long fixing it when the first isolation breach surfaces in a security review.

SCA (dependency scanning with Trivy or Grype) maps your open-source components against CVE databases. According to research from DeepStrike, 74% of codebases contain at least one high-risk open-source vulnerability, and 80% of application dependencies remain unupgraded for over a year (Source: DeepStrike Application Security Report 2024). SCA surfaces that exposure so developers can act on it.

V3 additions: what enterprise actually means

White-label branding at the tenant level is a mechanical feature (per-tenant logos, custom domain, color scheme) that is almost never purely mechanical in practice. Getting it right across email notifications, PDF reports, login pages, and the application UI adds 6-8 weeks of frontend engineering.

AI-powered false-positive triage is the V3 feature with the highest ROI. Industry analysis consistently shows SonarQube's rule-based engine generates 40-60% false positives on SAST findings (Source: OWASP SAST Tool Accuracy Analysis). Developers who see 60% noise in their security backlog stop opening the tool. An ML model that scores each finding by exploitability context and flags likely false positives restores trust in the output. The engineering cost is $30,000-$50,000 for a model trained on your scan data, plus a vector embedding layer for semantic code similarity.

Compliance reporting modules are the feature that converts an AppSec tool into a compliance posture platform. SOC 2 Type II, PCI-DSS 4.0, and ISO 27001 each require different evidence formats, different control mappings, and different audit trail shapes. Building them as configurable templates rather than hardcoded reports is the architecture decision that saves six months of rewrites when an enterprise client asks for HITRUST. If you are also evaluating standalone compliance automation tooling, the same configurable-template approach applies.

Build vs. buy: what Snyk, Veracode, Checkmarx, and SonarQube actually cost

Snyk

Snyk's Team plan runs $25 per contributing developer per month, capped at 10 licenses, which works out to $3,000 per year maximum before a forced upgrade. At 11 developers, the only option is Enterprise, which starts around $15,000 per year for a small team and runs $30,000-$54,000 per year for 50 developers.

The pricing cliff is the most common trigger for evaluating a custom build. The problem is not the Enterprise price per se. The jump is the problem: $3,000 one year, $30,000 the next, for the same scanning they had before.

Snyk's second limitation is white-label. MSSPs cannot rebrand it. That conversation ends there.

Veracode

Veracode's entry point runs around $15,000 per year for SAST-only basic access. Full enterprise suite costs $50,000-$500,000 per year. DAST adds $20,000-$25,000 per year for medium-sized portfolios. SCA adds $12,000 per year at minimum.

Veracode's hard constraint is its SaaS-only model. The product offers no on-premise or hybrid deployment option. Any buyer in a regulated environment, a government contract, or a defense supply chain cannot use it. That constraint is binary, not a pricing negotiation.

Veracode also does not allow customization of security rules or query logic. The rule engine ships as-is. Teams with non-standard frameworks or custom security requirements hit this ceiling inside the first year.

Checkmarx

Checkmarx does not publish pricing. Entry runs around $59,000 per year for 12 developers. For 250 users, costs reach $500,000 per year.

The operational problem with Checkmarx is repository counting. Repositories over one million lines of code count as multiple repositories for pricing purposes. A microservices estate with 40 services, each over 500,000 lines, does not price predictably on Checkmarx's model.

SonarQube

SonarQube's Cloud SaaS starts around $160 per year at 100,000 lines of code and scales to $21,000 per year at enterprise line counts. Self-managed Enterprise Edition runs $15,000-$250,000 per year. The High Availability Data Center edition starts above Enterprise pricing.

The build case against SonarQube is not primarily cost. The false-positive rate is the issue. Rule-based pattern matching flags anything that looks like a vulnerability pattern, regardless of whether it is actually exploitable in context. Teams experiencing 40-60% false-positive rates in their SAST backlog tend to stop triaging findings entirely. The tool is running; no one is looking at it.

When to keep buying

Keep a commercial tool when your developer count is under 10, you have no white-label or MSSP requirement, the tool's default workflow fits your CI/CD setup, and your compliance framework does not require control ownership documentation. Snyk works well at that headcount.

When to build

Custom makes sense when you cross Snyk's 10-developer threshold and cannot absorb the Enterprise price jump. White-label delivery is the other hard trigger: if your clients cannot see a vendor's brand inside your service, no commercial tool solves that. Veracode's SaaS-only constraint ends the conversation for air-gapped or government environments. And if your team's trust in scan findings has eroded because false-positive rates are too high to triage, the case for building is already there in your support tickets. Same for compliance reporting that requires formats and control mappings the vendor cannot generate.

How long does it take to build application security software?

PhaseTimelineTeam
V1 MVP (SAST dashboard, single scanner, CI/CD integration)12-16 weeks4 people
V2 Full platform (DAST, SCA, multi-tenant, RBAC, remediation workflow)6-9 months additional5-6 people
V3 Enterprise (white-label, AI triage, IAST, compliance modules, on-prem)5-8 months additional7-8 people
Total to enterprise-grade platform18-28 months from startScales to 8-10 people

What extends timelines: each compliance framework (SOC 2, ISO 27001, PCI-DSS) adds 6-10 weeks of architecture and reporting work. On-premise deployment adds 4-6 weeks. Each scan engine beyond the first (DAST, IAST, SCA) adds 6-10 weeks of integration engineering. AI triage requires 6-8 weeks of data pipeline work before the model has enough signal to be useful.

The failure mode we see most often in security platform builds is treating compliance as a feature. Teams decide to target SOC 2 and PCI-DSS simultaneously in V1 and discover that each compliance framework touches the core data model. The teams that scope compliance reporting as a V2 feature ship a usable scanning platform in 14-16 weeks and layer compliance output in V2, once the schema is stable. The teams that try to build compliance from day one typically take 28-36 weeks to ship V1 and end up rebuilding parts of the data model anyway.

A record 48,185 CVEs were published in 2025, roughly 131 new vulnerabilities per day (Source: Indusface WAS Threat Report 2025). The median time to exploit a newly disclosed vulnerability is now under five days, while average remediation time for a critical vulnerability exceeds 60 days (Source: Cyentia Institute / Tenable Vulnerability Intelligence Report 2024). Building a platform that surfaces findings faster than your team can triage them is not the goal. Building one that routes the right finding to the right person with enough context to act on it in the same sprint is.

How RaftLabs builds application security platforms

We run a scoping engagement before any code gets written. That means mapping your current scan coverage gaps, your CI/CD environment, your compliance obligations, whether you need multi-tenancy, and what your clients or internal teams actually do with security findings today.

Most clients come in thinking they need a full platform. After a scoping call, a significant number decide they need a focused V1 with two scan types and a reporting portal that routes findings into Jira. That version ships in 14 weeks. The full platform comes in V2, once the scan-and-route workflow is validated.

We have built data pipelines, security scanning integrations, and multi-tenant SaaS platforms across fintech, healthcare, and enterprise software as part of our custom software development practice. AppSec platforms draw on all three: the data pipeline patterns from analytics work, the compliance architecture from regulated-industry builds, and the multi-tenant patterns from SaaS.

If you are running the build-vs-buy calculation for an AppSec platform, whether it is for your own team or for client delivery, we will give you a costed scope within 48 hours of a call. Tell us your current tool spend, your scan coverage gaps, and your compliance obligations.

Ask an AI

Get an instant summary of this post from your preferred AI assistant.

Frequently asked questions

An MVP with a single-scanner SAST engine, vulnerability dashboard, and CI/CD integration costs $55,000-$80,000 over 12-16 weeks. A full platform with SAST, DAST, SCA, multi-tenant RBAC, and remediation workflows runs $160,000-$240,000 over 9-12 months cumulative. An enterprise white-label platform with AI triage, IAST, compliance modules, and on-prem deployment reaches $200,000-$350,000. These figures use a team rate of $35-$40/hour.
An MVP takes 12-16 weeks. A full V2 platform adds 6-9 months on top of that. An enterprise-grade multi-tenant product with white-label, AI triage, and compliance reporting takes 18-28 months from project start. Timeline expands with the number of compliance frameworks targeted (SOC 2, PCI-DSS, ISO 27001 each add 6-10 weeks), the number of scan engines integrated, and whether on-premise deployment is required.
Build when: you need to white-label or rebrand the platform for MSSP client delivery (none of the major vendors allow it); when your developer count crosses Snyk's Team-to-Enterprise cliff and costs spike from $3,000 to $30,000+ per year; when Veracode's SaaS-only model blocks deployment in regulated, air-gapped, or government environments; or when false-positive rates from SonarQube's rule-based engine are causing your team to ignore findings entirely. Keep buying when your team is under 10 developers, you have no white-label requirement, and the existing tool's workflow fits your CI/CD setup.
A V1 needs: a SAST engine integration (wrapping open-source engines like Semgrep or CodeQL), single-language vulnerability detection, a severity-scored vulnerability dashboard, project and repository management, PDF and CSV export, OAuth2 SSO, and CI/CD webhooks for GitHub Actions and GitLab CI. DAST, SCA, multi-tenancy, and RBAC are V2 features. Shipping them in V1 delays launch by 4-6 months without validating the core scan-and-report workflow first.
Backend orchestration runs in Python (FastAPI) or Go for performance-intensive scan pipelines. Open-source engines, Semgrep for SAST and OWASP ZAP or Nuclei for DAST, form the scan layer. PostgreSQL stores findings and users. Elasticsearch handles full-text search across large vulnerability datasets. Redis manages job queuing and rate limiting. On AWS, container orchestration runs on EKS with SQS for async scan jobs. The scan engine choice has the biggest cost impact: wrapping an open-source engine costs $15,000-$30,000 less than building a proprietary parser from scratch.
We run a scoping engagement first. That means mapping your current scan coverage gaps, your compliance obligations, your CI/CD environment, and whether you need multi-tenancy before writing a line of code. Most clients come in thinking they need a full platform and discover that a focused V1 with two scan types and a clean reporting portal gets them to value in 14 weeks instead of 10 months. We give you a costed scope within 48 hours of a call.

Stay on topic

More on custom software