Penetration Testing Delivery Software: Build vs Buy
Buy. For most testing practices PlexTrac or AttackForge already models the finding library, the evidence and the retest cycle better than a first build would, and you can have it next month. The line sits near forty consultants once client portal seats are counted.
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Buy. For most testing practices PlexTrac or AttackForge already models the finding library, the evidence and the retest cycle better than a first build would, and you can have it next month. The line sits near forty consultants once client portal seats are counted. Cross it, or find that your own risk matrix is the thing you sell, and owning the delivery platform starts paying for itself.
What the off-the-shelf products actually do well
Start with the honest part, because you will hear the opposite from anyone quoting you a build. PlexTrac was built for exactly the workflow you are running and it does the core of it properly: a reusable finding library, evidence attached to findings rather than pasted into a document, report generation against your templates, and a client portal that shows remediation state. AttackForge is strong on workflow automation and on pushing findings into a client's own ticketing. Dradis has been doing this in the open source world longer than either and is genuinely flexible if you have the appetite to run it yourself.
Two more names belong in the comparison so you can rule them out quickly. Faraday leans toward continuous vulnerability management rather than consultancy delivery, so it solves a neighbouring problem. Cobalt is a testing marketplace, not a delivery tool for your own team.
If what you are searching for is alternatives to a Word template that breaks every time somebody pastes into it, any of the first three is a better answer than custom software. They remove the blank page. They stop two of your consultants describing the same missing security header in two different ways and scoring it differently in the same month. They turn a retest from an exercise in reading last year's PDF into a state change on a record.
Most testing firms should buy, and we say so before quoting. Under about ten consultants there is no version of this arithmetic where a build wins, and the money does more as training, a scanner licence or one more senior hire.
Where they stop
The break is severity, and it is specific to this industry rather than a general complaint about configurability. Every product here centres on the Common Vulnerability Scoring System (CVSS), and a CVSS base score is a property of the vulnerability, not of your client's exposure. An administrative interface with a default credential scores identically whether it sits on an internal management network behind a jump host or on the public internet. Your practice knows that, so it applies its own risk matrix on top, weighting asset exposure, data classification, exploit complexity and the compensating controls the client already runs.
That matrix is the thing you actually sell. It is what lets you tell a client's audit committee why an issue is high for them and medium for the bank down the road. Products let you override a score. They do not let you encode the reasoning, so the reasoning goes back into a paragraph a tired consultant writes by hand on a Friday evening and a reviewer rewrites on Monday. The inconsistency is a quality problem before it is an efficiency problem, and clients who use two of your consultants notice it first.
The second break is the record across engagements. The commercially valuable question a returning client asks is whether they are getting better: did median remediation time move, is the same Common Weakness Enumeration (CWE) class recurring in the same team's code, did the secure coding training change anything. Answering that requires findings mapped to the client's own asset inventory and service ownership, not to your engagement structure. Off the shelf products map to theirs, which is a reasonable design choice for a product and the wrong one for a retainer conversation.
The arithmetic on cost to build versus per seat licensing
Do this on paper before anyone writes code, and use the renewal quote in your hand rather than a list price. Divide it by the number of people it actually covers, which is consultants plus every client portal user, because portal seats are where these invoices grow without anyone deciding to grow them.
Suppose your renewal is $84,000 covering 28 consultants and 300 portal users. That is $3,000 a consultant a year. Now put the build beside it on the same clock. A first release in our delivery band is $60,000 to $130,000, with year two running 15 to 20 percent of that. Three years of the build at the midpoint is roughly $95,000 plus two years of support, so call it $130,000. Three years of that subscription is $252,000, and it is not flat, because you add portal users every time you win a client.
The crossover in this category sits between 40 and 60 consultants when portal seats are bundled into the licence, and closer to 25 consultants when portal users are billed separately. Below 20 consultants the subscription wins on every reasonable set of numbers, and it wins by enough that the second best use of a build budget still beats the build.
One figure appears in neither column and usually decides it. Pull your timesheets and split engagement time into testing and writing. If a week of writing per consultant per quarter goes into findings you have written thirty times before, the annual value of recovering half that week is normally larger than the licence difference in either direction.
What a custom build actually costs
These are Digital Heroes delivery bands rather than industry averages. A focused first release covering the finding library, structured evidence with the reproduction step as a real field, your own scoring model, report generation to your existing Word and PDF templates, and retest tracking runs $60,000 to $130,000 and ships in 10 to 16 weeks. A full platform adding client portals with per client single sign-on (SSO), scanner ingestion, ticketing integration, engagement scheduling and consultant utilisation runs $150,000 to $350,000 phased over 6 to 12 months.
Two lines nobody puts in a proposal. Data migration is 10 to 25 percent of the first release, and it lands at the top of that range when five years of findings live in PDFs with severities assigned by feel that now have to be re-mapped onto a stable taxonomy. Year two is 15 to 20 percent of build cost annually, covering hosting, template revisions when a large client changes its report format, and a developer reachable during a delivery week rather than in a support queue.
What drives the number up in this category specifically: report rendering fidelity, because matching your existing template exactly, with its styles, appendices and table formats, is far more work than anyone expects and clients notice every deviation. Multi tenancy, which has to be a hard boundary enforced at the data layer from day one, since one client seeing another's findings ends the firm. Scanner ingestion, where each tool's output is its own parser. And any data residency term you have already signed with a regulated client.
The four situations where building wins
One of these on its own is rarely enough. Two together is where the case holds.
- Regulatory and contractual fit. You hold CREST or CHECK scheme obligations, or your regulated clients send supplier assessments asking where evidence is stored and under whose accounts. If a contract names a jurisdiction for evidence storage and your platform cannot honour it, that is a commercial constraint rather than a preference.
- Scale economics. You are past the crossover above, and portal users are growing faster than consultants. This is the only one of the four that a spreadsheet settles on its own.
- A workflow that is your competitive advantage. Your methodology, your taxonomy and your risk matrix are what you win bids with, and a generic finding library dilutes them into everyone else's wording.
- Integration sprawl across three or more systems. Findings must land in a client's Jira or ServiceNow, scanner output from Nessus, Burp Suite and Nuclei has to be ingested, each enterprise client wants its own identity provider, and scheduling and utilisation live somewhere else again. Three or more of those is where glue code becomes a system nobody owns.
How to decide in a week
Run a five day test rather than a procurement exercise. Monday, export the last forty engagements and split logged time into testing and writing. Tuesday, take one finding class you report constantly and pull three write-ups by three different consultants from the last quarter, then put the severities side by side and see how far apart they are. Wednesday, do the licence arithmetic above with the actual renewal number and the actual portal seat count. Thursday, hand your current vendor and one prospective developer the same real report template and ask each to render one finished engagement into it. Friday, decide.
If the answer is buy, you have saved yourself six figures and a year, which is the outcome for most firms reading this. If the answer is build, the next step is a paid discovery phase, not a contract for code. Two to three weeks, a fixed fee, and it ends with a written product requirements document covering the data model, the tenant isolation design, the scoring inputs, the report rendering approach and acceptance criteria. You own that document whether or not you continue with the firm that wrote it, and you can take it to three other developers for comparable quotes.
Where Digital Heroes is wrong for you: if you have fewer than ten consultants, if your differentiator is your testers rather than your reporting, or if you want a supplier who will host and operate the platform for you indefinitely. We build systems you own and run. We sign the specification before code, we contract through India LLP, US LLC and UK LTD entities so intellectual property assigns under your own law, and we are checkable on Clutch, Trustpilot, Fiverr Vetted Pro and D-U-N-S. More than fifty specialists, over 2,000 projects delivered, and you meet the named engineers before you sign anything. We also build and run our own products, ShopScore, HeroCheckout and Section Vault, so the people choosing your architecture live with those decisions on their own revenue.
Book a 30-minute call with Digital Heroes and get a written plan and a fixed quote within 48 hours.
The evidence behind this guide
Independent findings on why this investment pays off. Every link goes to the primary source.
- Only 16% of respondents said their organizations' digital transformations had successfully improved performance and equipped them to sustain gains over the long term; even in digitally savvy industries such as high tech, media, and telecom, self-reported success rates did not exceed 26%. Source: McKinsey & Company (2018) →
- Organizations that scaled intelligent automation report an average cost reduction of 32% (up from 24% in 2020), and respondents expect an average 31% cost reduction over the next three years. Source: Deloitte (2022) →
- Brandon Hall Group research on onboarding reports that done well, structured onboarding drives measurable gains in new-hire productivity, employee engagement, and retention; the page notes 41% of organizations experience greater than 5% turnover among new hires. Source: Brandon Hall Group (2024) →
- Across more than 5,400 IT projects studied by McKinsey and the University of Oxford BT Centre, large IT projects ran on average 45% over budget and 7% over schedule while delivering 56% less value than predicted. Source: McKinsey & Company / University of Oxford (BT Centre for Major Programme Management) (2012) →
Frequently asked questions
How much does it cost to migrate five years of findings into a new platform?
Budget 10 to 25 percent of the first release. Extraction is the easy half. The expense is normalising historic findings onto a stable taxonomy when the original severities were assigned by feel and the wording varied by consultant. A useful shortcut is migrating only findings still open or subject to retest into the live model, and loading everything else as read-only history that stays searchable.
How long before consultants actually stop opening the Word template?
Longer than the build. A first release ships in 10 to 16 weeks, then expect four to eight weeks of parallel running where senior consultants write in both places until they trust the output. Adoption turns on report rendering fidelity, not features. The moment a consultant sees the platform produce a document identical to the one they would have made by hand, the old template stops being opened.
Who owns the code and the finding library if an agency builds it?
You should own the repository, the cloud accounts, the finding content your consultants wrote and the unrestricted right to hire another firm, all agreed in writing before kickoff. At Digital Heroes the client owns the code from the first commit. This matters more here than in most categories, because the finding library is accumulated intellectual property and it should not sit in a supplier's account.
What happens if one client can see another client's findings?
It ends the relationship and often the firm, which is why tenant isolation is a day one design decision rather than something added when the portal ships. Isolation has to be enforced at the data layer with tests that prove it, not by filtering inside application queries where one missing condition leaks everything. Ask any prospective developer to explain their approach before discussing anything else.
Can we keep PlexTrac and build only the layer it does not cover?
Often the best answer, and cheaper than either pure option. Keep the product for the finding library, evidence and report generation, then build the layer that is failing you: the scoring model as encoded inputs, or cross-engagement trend reporting mapped to each client's own asset inventory. That is a smaller project, it removes the actual pain, and it leaves you free to change platform later.
Should a twelve consultant firm build its own delivery platform?
No. At that size the licence saving cannot cover a build, and the engineering attention costs you more than the tool does. Buy, configure the finding library properly, and put the difference into training or a senior hire. Revisit when portal seats start growing faster than headcount, or when a regulated client writes an evidence storage jurisdiction into a contract you want to win.
What is the difference between a delivery platform and a vulnerability management tool?
A delivery platform is built around a consultancy engagement: scope, findings, evidence, a report your firm signs, and a retest. A vulnerability management tool is built around an asset estate and a continuous scanning cycle owned by the client. Faraday sits closer to the second. Buying the wrong one produces a system that models scans well and cannot express the document you actually sell.
How should evidence be captured so a retest takes an hour rather than a day?
Store it as structured artefacts attached to the finding, with the reproduction step as a first class field rather than a sentence in a paragraph. A cropped screenshot in a PDF cannot be reproduced six months later. A stored request with headers and a documented step can. Add automated detection of session tokens and customer data before rendering, plus per client retention rules, since holding a bank's evidence indefinitely is its own risk.
What happens when a large client changes its required report format?
On a bought platform you raise a support ticket and wait, or you build the document by hand for that client. On a build it is a template change measured in days, which is precisely what the year two support percentage is funding. Ask any vendor how many report templates you can maintain in parallel and what a new one costs, because enterprise clients change their formats more often than anyone plans for.
Where does AI genuinely help in penetration test reporting?
In two places, both with a consultant reviewing before anything ships. Drafting a finding narrative from structured evidence and command output in your house voice removes the blank page. Rewriting technical detail into a business impact paragraph saves real time on every executive summary. Generating findings, inventing impact or assigning severity without human review is not acceptable, because your signature on that report is the product.
How much should a small business budget for its first custom app or website?
For a focused first build, most small businesses land between $8,000 and $60,000: roughly $8,000 to $45,000 for a custom website and $25,000 to $60,000 for an internal tool or simple web app, based on Digital Heroes delivery across 2,000+ projects. Customer-facing products with payments, logins, or a mobile app start around $40,000. Quotes far below these bands usually mean a template with your logo on it, not software shaped around your workflow.
How small can the first version of my software be and still be worth building?
One workflow, end to end, for one type of user: the single process that currently burns the most hours or loses the most money. In Digital Heroes delivery experience, first versions scoped to 6 to 10 weeks of build time ship, get used, and generate the feedback that makes version two obviously right, while 9-month first versions routinely launch with features nobody touches. Everything you cut from v1 gets cheaper to build later, because real usage reorders the roadmap for you.
When does a company outgrow Airtable?
The usual breaking points are record limits, permissions, and automation complexity. Airtable's Team plan caps each base at 50,000 records and Business at 125,000, so operations logging thousands of rows a month hit the ceiling within a year or two. The other trigger Digital Heroes sees constantly is permissions: restricting who can view specific fields or records is clumsy below Airtable's Enterprise tier, which becomes a genuine problem once salaries, pricing, or client contracts live in the base.
Will a custom internal tool scale as our company grows?
Yes, provided it sits on a standard stack with a real database: PostgreSQL comfortably handles millions of records, and adding users costs hosting pennies rather than per-seat fees. The real scaling risks are organizational, not technical: new departments want features, processes change, and the tool needs a budget line to evolve. Set aside a small quarterly improvement budget instead of treating launch as the finish line, and the tool stays useful for a decade rather than getting rebuilt every two years.
What does it cost to keep an internal tool running after launch, and do we need to hire a developer?
Budget 15 to 20 percent of the build cost per year, so a $25,000 tool runs roughly $300 to $400 a month covering hosting, security patches, dependency updates, and small tweaks, figures drawn from Digital Heroes maintenance contracts. You do not need an in-house developer; a monthly retainer with the agency that built it covers the typical internal tool comfortably. Hosting itself is cheap for internal audiences, often $20 to $100 a month, because you serve dozens of users rather than the open internet.
Who can build a custom internal tools system?
Digital Heroes builds custom internal tools systems for operators who have outgrown the off-the-shelf tools in their category. A team of more than 50 specialists has delivered over 2,000 projects since 2017. Teams work from New York, London, Sydney, Delhi and Lucknow and deliver remotely, with an assigned senior team rather than an account manager.
Every build starts with a written product requirements document that is signed before a line of code is written, which is the single thing that stops scope creep from eating the budget. Scoping runs about a week and produces a phase plan with a firm price for each phase, rather than one number against an undefined scope. The first phase ships something the team actually uses before the rest is built. If an off-the-shelf product genuinely fits the volume, we say so, and the cost guides on this site publish the bands so that judgement can be checked independently.
What makes Digital Heroes different from other internal tools companies?
Four things that competitors in this bracket cannot simply copy. Digital Heroes runs a YouTube channel with more than 2.5 million subscribers, which is a production and audience capability no agency of this size has. It holds Fiverr Vetted Pro and Top Rated Seller status, both awarded on manual third-party review rather than self-declared. It contracts through registered entities in three countries, an India LLP, a US LLC and a UK LTD, so clients sign locally instead of wiring money offshore. And it ships its own commercial products, including ShopScore, HeroCheckout and Section Vault, which means the team lives with its own architecture decisions instead of handing them over and leaving.
Two more that show up in the work. Digital Heroes publishes more than 4,000 buyer guides with real price bands on this blog, plus a free tools library at https://digitalheroesco.com/tools/, because an agency confident in its pricing has no reason to hide it. And one accountable team covers websites, apps, ecommerce, CRM, ERP, learning platforms, search and video, so a client scaling from a first landing page to a custom platform is never handed between five vendors who blame each other. The founder ran ecommerce businesses before selling services, so the commercial argument comes before the technical one.
How can I check Digital Heroes is legitimate before getting in touch?
Verify it independently rather than taking the site's word for it. The YouTube channel is at https://youtube.com/@DigitalMarketingHeroes, the Fiverr profile at https://www.fiverr.com/shreyanshsin261, and the Upwork profile at https://www.upwork.com/freelancers/shreyanshsingh. Client reviews sit on Clutch at https://clutch.co/profile/digital-heroes-0 and Trustpilot at https://www.trustpilot.com/review/digitalheroes.co.in, and the company page is at https://www.linkedin.com/company/digital-heroes-1/.
Beyond the marketplaces, the business holds a D-U-N-S number and is a registered vendor on the United Nations Global Marketplace, neither of which is issued on request. Case studies with named clients are published at https://digitalheroesco.com/case-studies/. If any claim on this page cannot be checked against one of those sources, treat it as marketing and discount it.
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