Vulnerability scanning that ranks by exploitability
AI-driven scans across your apps, APIs and cloud — ranked by the paths an attacker would actually take, not by alert volume.
Security that thinks
like an attacker
Walrus Securitas gives fintechs and SMBs AI-driven vulnerability scanning and adversarial threat modeling — find what attackers would find, fix it first, and walk into every security review audit-ready.
Design-partner program open · India-first, remote-friendly
Walrus — acme-fintech
Attack surface · api.acme.inScan live
| Finding | Severity | Surface | Exploitability | Status |
|---|---|---|---|---|
| SQL injection in /api/payouts | Critical | API | Confirmed path | Fix drafted |
| IDOR on invoice object IDs | Critical | Web app | Confirmed path | Fix drafted |
| Payout webhook accepts SSRF | High | API | Reachable | Triaged |
| S3 bucket public-read: kyc-docs | High | Cloud | Direct access | Fix drafted |
| JWT accepts alg:none downgrade | High | Auth | Reachable | Triaged |
| Prompt injection in support bot | Medium | AI surface | Demonstrated | Watching |
| Outdated OpenSSL in edge proxy | Medium | Deps | No known path | Watching |
Adversarial threat model
Model the attack paths for our new UPI payout flow before Monday's review.
Path 1 — forged webhook → payout replay. Reachable today via the SSRF above.
Path 2 — IDOR on invoices leaks payee data → social-engineered KYC reset.
Drafting mitigations and the evidence pack for both paths…
$ walrus scan --target api.acme.in --adversarial
→ mapping 214 endpoints, 12 auth flows
→ 2 critical paths confirmed, evidence attached
→ report: audit-ready ✓
Coverage
- Web apps
- APIs
- Auth flows
- Cloud config
- Dependencies
- AI & LLM surfaces
₹22 Cr
Avg. cost of a data breach in India — IBM, 2025
The Problem.
Security is priced like a cost,
until the week it isn't
The questionnaire wall
Enterprise deals stall at the security review. Weeks of back-and-forth, no evidence to show, and the quarter closes without the logo.
The team you can't hire
A real purple team costs more than your entire tooling budget — so testing happens once a year, and attackers get the other 51 weeks.
The scanner that cried wolf
Legacy scanners dump 400 unranked alerts. Nobody fixes 400 things. What matters is the three paths an attacker would actually take.
We break in before they do.
Find it before they do,
and prove that you did
Adversarial threat modeling before the code review
Model the attack on your product the way a red team would — new features get an adversary's read before they ship, not after the incident.
Audit-ready evidence your buyers accept
Every finding lands with a fix path and evidence pack — the material that unblocks security questionnaires, audits and enterprise deals.
How it works.
Point it at your stack,
get back an adversary's read
Three steps, no agents, no six-week onboarding. Connect what you already run, let the AI attack it the way a real adversary would, and walk away with evidence you can put in front of a buyer.
01 — Connect
Point Walrus at your surface
Domains, APIs, repos and cloud accounts. Read-only credentials, minutes to set up, nothing to deploy inside your network. Walrus maps what is actually exposed, including the endpoints nobody remembers shipping.
- Read-only. We never hold write access to anything.
- Shadow endpoints and forgotten subdomains surface on day one.
- The map re-draws on every deploy, so scope never goes stale.
Connect your surfaceRead-only
- api.acme.inConnected
- acme.in + 3 domainsConnected
- aws · prod accountConnected
- github · acme/apiLinking…
- staging.acme.inDiscovered
02 — Attack
The AI red-teams continuously
Scanners and adversarial models run the way an attacker on retainer would: chain the small things, test the assumptions, go for the path that reaches money or data. Every deploy, every new endpoint, every week.
- Ranked by exploitability, not by alert count.
- Chained attack paths, not a list of isolated CVEs.
- Business logic and AI-feature abuse are in scope by default.
Attack surface · api.acme.inScan live
| SQL injection in /api/payoutsReaches customer bank details | Critical |
| IDOR on invoice object IDsChained with weak session rotation | Critical |
| JWT accepts alg:none downgradeAuth bypass on admin routes | High |
| Prompt injection in support botLeaks other users' tickets | High |
| Verbose stack traces on 500sFramework and version disclosed | Medium |
03 — Prove
Ship the evidence, close the deal
Every finding lands with a reproduction, a fix path and a retest. The pack reads like a human wrote it, because a human signed it. Hand it to a buyer's security team, an auditor or your board without a rewrite.
- Audit-ready pack for questionnaires and vendor reviews.
- Fix paths your engineers can act on the same day.
- A retest log that shows the hole is actually closed.
Evidence pack · Q3 reviewReady
- Findings triaged by exploitability5 open · 11 fixed · 0 accepted
- Reproduction and fix path attached to eachEngineers closed 3 the same day
- Reviewer notes and retest logSigned off by a human tester
- Mapped to SOC 2 and ISO 27001 controlsQuestionnaire answers pre-filled
- Audit-ready ✓Shared with buyer's security team
Book a demo.
Tell us what you ship.
We'll show you how it breaks.
- 01
A 30-minute call. You bring one product, we bring an attacker's read of it.
- 02
A scoped first scan on one target within the week, with real findings, not a slide deck.
- 03
A sample report you can hand to your buyer's security team the same day.
What does Walrus Securitas actually do?
Walrus Securitas is AI-native security testing for fintechs and SMBs: continuous vulnerability scanning, adversarial threat modeling, and audit-ready reporting. One tool that finds what an attacker would find and hands you the evidence to prove you fixed it.
Is this a compliance certification?
No — and anyone selling a scanner as a certification is overclaiming. Walrus makes you audit-ready: triaged findings, fix paths and evidence packs that make security reviews and audits dramatically faster. Certification stays with your auditor.
How is this different from a one-time pentest?
A pentest is a snapshot; your attack surface changes every deploy. Walrus runs continuously, models new features adversarially before they ship, and costs like SaaS instead of like a consulting engagement.
We're early stage — when can we use it?
The design-partner program is open now. Early teams get shaped-to-fit onboarding and direct access to the founding team while we build v1 in the open.