Customer Stories

Realistic scenarios. Honest labels.

We refuse to publish fake testimonials. Below are six illustrative scenarios + two day-in-the-life walkthroughs. Each describes a workflow ArgusSecure genuinely supports today — only the names are synthetic.

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A note on these stories. Every scenario below is illustrative. Company names, headcounts, and timeline numbers are representative — the workflows themselves match real things ArgusSecure does (SCA, DAST, the OWASP ZAP engine, the AI Fix-It Agent, cloud-asset scanning). We don't publish fabricated testimonials or invented quotes. When a real customer is willing to be named and quoted, their story replaces an illustrative one here — with a clear "Real customer" badge.

Scenarios

Six representative workflows — by team size, regulated industry, and stage. Each story maps to scanners and features that are live in ArgusSecure today.

Northbridge
Illustrative
Fintech · Series B
42 engineers · 11 services
SCAAI Fix-ItReports

Cleared a SOC 2 dependency-audit finding in 9 days

The challenge

External SOC 2 auditor flagged outdated Node + Python deps across the auth and ledger services. The team had 14 days to remediate or document exceptions.

What they did
  • Imported 11 service manifests via ArgusSecure SCA
  • AI Fix-It Agent generated upgrade PRs for 17 of the 22 CVEs (Claude Sonnet 4.5)
  • 5 deferred CVEs documented as exceptions with rationale in the audit log
  • Findings exported as a signed PDF report for the auditor
Outcome
17 / 22
CVEs remediated
9 days
Time from import to clean report
1 / 1
Auditor findings closed
Halcyon Health
Illustrative
Health-tech · Series A
18 engineers · HIPAA-regulated
Cloud · AWS S3AI Fix-It

Stopped a critical S3 misconfig before launch

The challenge

Patient-facing portal was 6 days from going live. A junior engineer had inadvertently published an S3 bucket with PHI export CSVs publicly readable via ACL.

What they did
  • Connected an AWS IAM read-only role on the ArgusSecure Integrations page
  • Triggered a Cloud · AWS S3 scan from the Integrations tab
  • Critical finding ‘public ACL on PHI exports’ surfaced in 14 seconds
  • AI Fix-It generated the exact `aws s3api put-public-access-block` commands
Outcome
0
PHI records exposed
14 sec
Detection time
21 min
Time to remediate
Stencil
Illustrative
Dev-tools SaaS · Seed
9 engineers · 1 monorepo
DASTDomain verification

Caught an unauth IDOR before a customer did

The challenge

A staging deploy of a new tenant-scoped report API was missing the org-id check. Found during a routine pre-release DAST scan.

What they did
  • DAST project pointed at staging.stencil.dev (domain verified via DNS TXT)
  • Built-in DAST flagged the unauth IDOR endpoint with the raw request + response as evidence
  • Auth team applied the fix the same afternoon, re-scanned, finding closed
Outcome
Critical
Severity caught
0
Customers affected
Same day
Re-scan to clean
Alt Cohort
Illustrative
Edtech · Bootstrapped
4 engineers · 1 founder is the AppSec lead
SASTAI Fix-It

First scan found the bug they'd been chasing for a week

The challenge

Founders had been debugging an intermittent SQL error on the grading service. Suspected library bug. Was actually classic SQL injection via unparameterised query.

What they did
  • Uploaded the grading service source as a SAST project
  • Scanner flagged `cursor.execute(f"SELECT … WHERE id = {uid}")` (CWE-89, OWASP A05:2025)
  • AI Fix-It produced the parameterised-query patch
  • Founder merged the PR within 30 minutes
Outcome
3
Bugs found in first scan
8 min
Onboarding to first finding
Free tier
Setup cost
MercatorPay
Illustrative
Payments · Series C
180 engineers · 40+ services
SASTSCADAST · ZAPAPI tokens

Replaced two scanners with one, saved $84k/yr

The challenge

Were paying for separate vendors for SAST and SCA, plus an internal Burp/ZAP setup for DAST. Findings lived in three different inboxes, with three different triage workflows.

What they did
  • Migrated 40+ projects to ArgusSecure across 6 weeks (CI tokens + REST API)
  • Pointed ArgusSecure at their existing OWASP ZAP daemon via the BYO integration
  • Findings unified into a single inbox with consistent severity + OWASP 2025 tagging
  • Sunset both legacy vendors at end of contract
Outcome
≈$84k
Annual licence saved
3 → 1
Triage inboxes
100%
OWASP tag consistency
Tideline Commerce
Illustrative
E-commerce · Bootstrapped
12 engineers · React + Node
AI Fix-ItFindings inbox

Used the AI Fix-It Agent to onboard a junior engineer

The challenge

New junior engineer needed to learn the team's security expectations. Reading the OWASP Top 10 docs cold wasn't sticking.

What they did
  • Engineer was given access to ArgusSecure findings as a triage exercise
  • For each finding, asked the AI Fix-It Agent: ‘explain this CWE in plain English’
  • Worked through 20 findings across SAST + SCA in one week
  • By week 2, engineer was authoring PRs on real bugs without supervision
Outcome
2 weeks → 1 week
Onboarding programme length
20
Findings triaged solo
≈8 hrs/wk
Senior review hours saved

A day in the life

Two persona walkthroughs. Both names are pseudonyms — the actions match real ArgusSecure flows you can reproduce right now in a free trial.

Mia
AppSec lead · Fintech, Series B
Illustrative day · names changed
  1. 08:50
    Open the ArgusSecure Dashboard. Severity donut shows 3 new criticals overnight (CI scans during the freeze window).
    Dashboard
  2. 09:05
    Click the OWASP 2025 donut → 2 of the 3 are A03 Supply Chain. SCA scanner caught a fresh CVE in `node-tar`.
    OWASP filter
  3. 09:12
    Tap AI Fix-It on the first finding. Patch generated. Open PR in 4 minutes.
    AI Fix-It
  4. 10:30
    Stand-up — show the team the unified inbox. Triage the remaining critical (false positive — mark + rationale).
    Findings
  5. 14:00
    Export a signed PDF for the security committee meeting on Friday.
    Reports
  6. 16:45
    Goddy bubble pops up: ‘Verification on staging.fintechco.com is about to expire — reverify?’
    Goddy agent
"Three scanners became one inbox. The AI Fix-It is what made this stick — engineers don't dread triage anymore."
Dev
Solo founder + CTO · Edtech, bootstrapped
Illustrative day · names changed
  1. 07:20
    Free-tier sign-up. Verifies email, lands on the Welcome tour.
    Signup
  2. 07:25
    Drags `package.json` into the new-project wizard. SCA scan completes in 6 seconds. 2 medium CVEs.
    SCA
  3. 07:35
    Pastes the main Python service file. SAST scan flags one hardcoded password. Eyes widen.
    SAST
  4. 07:42
    Asks Goddy: ‘what's the simplest way to fix this in Flask?’ — gets a Click-to-copy snippet.
    Goddy agent
  5. 08:10
    Commits the fix. Re-runs scans from the project page. 0 open criticals.
    Scan loop
  6. 11:00
    Decides ArgusSecure is going into the CI pipeline. Generates an API token. Reads the docs.
    API tokens
"I'm not a security person. I just want to ship without leaking customer data. This is the first tool that helped me do that."
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We're inviting a small cohort of design partners to swap illustrative scenarios above for real, attributed stories. NDA-friendly. No vapor logos, no fabricated quotes — we'll only publish what you'd say out loud at a security conference.

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