Security audit
for SaaS teams
SaaS security looks nothing like static-website security. The real risks are authorization (BOLA, BFLA), business-logic abuse, JWT misconfigurations, GraphQL introspection, and increasingly AI prompt injection. AuditCore is built for that — and ships with a GitHub Action so every push gets scanned.
The SaaS threat model is different
Static website security testing focuses on HTML rendering, headers and content disclosure. SaaS security testing is about authorization, state machines, and trust boundaries between roles. A SaaS app can pass every header test, every SSL test, every header config — and still let a free-tier user access a paid-tier customer's data through a single misnumbered ID in an API call. That's BOLA, the most common modern SaaS vulnerability.
AuditCore runs a multi-role crawl: it logs in as different user roles (admin, paying user, free user, anonymous) and replays each role's captured requests as the others. If a free user's request to /api/v1/orgs/123 returns the paid user's data, that's a BOLA finding — caught automatically. We do the same for cross-permission BFLA: can a 'viewer' role hit POST /api/v1/admin/users? Both classes of bug are nearly invisible to traditional scanners but trivial to exploit at scale once found.
Beyond authorization, SaaS apps in 2026 increasingly include AI features — chatbots, semantic search, RAG retrieval, agentic workflows. Each opens new attack surfaces: prompt injection, jailbreak, RAG poisoning, tool-call manipulation, output filter bypass. AuditCore's AI Agent Scanner runs ~80 payloads across 14 categories on every chat endpoint we discover.
The problems we see
From hundreds of audits — the pain points that come up over and over.
BOLA — Broken Object Level Authorization
OWASP API Top 10 #1. Endpoints like GET /api/v1/orders/123 trust the ID without checking ownership. Free-tier users access enterprise customer data. Most scanners can't find this — needs multi-role replay.
BFLA — Broken Function Level Authorization
Lower roles can call higher-role endpoints. Read-only viewers calling POST /api/admin/invite. Generic scanners don't know your role hierarchy; we infer it.
JWT alg:none, weak secrets, sensitive data in claims
Common JWT bugs: accepting alg:none (signature bypass), using HS256 with a guessable secret, putting PII or permissions in the unsigned header. Each is a full account-takeover vector.
GraphQL introspection + over-fetching
Production GraphQL schemas with introspection enabled = full schema disclosure to attackers. Combined with depth limits not being enforced, lets attackers DoS your API with a single nested query.
Business-logic abuse — price tampering, status flipping
Sending price=0, payment_status=paid, role=admin in request bodies. SaaS without strict server-side validation is vulnerable. We probe checkout / upgrade / role-change flows specifically.
AI prompt injection in chat / RAG features
Newest class of bug. Your chatbot trusting user input lets attackers extract system prompts, exfiltrate other users' conversations, or pivot to tool-call abuse. AuditCore's AI Agent Scanner has 14 attack categories.
How AuditCore helps
Every solution below maps to a specific scanner or feature in our pipeline.
Multi-role crawl + cross-role replay
Playwright crawls as multiple authenticated roles, captures every API request, then replays each role's traffic as the others. BOLA / BFLA findings are direct evidence — the actual data leaked.
JWT analyzer — alg:none, weak secret, sensitive claims
Decodes your JWTs, attempts alg:none variants, brute-forces HS256 with rockyou.txt + common keys, flags PII/permissions in claims. Direct fix prompts for each issue.
GraphQL deep scanner
Full introspection parsing, mutation fuzzing with injection payloads, mutation auth bypass testing, variable injection, query data exposure analysis. The depth scanners other tools don't reach.
Smart API scanner — OpenAPI / Swagger driven
Auto-discovers your OpenAPI/Swagger spec, generates schema-driven fuzz payloads, tests mass assignment, boundary values, type confusion, workflow skip, auth bypass per endpoint.
Business Logic scanner
Probes 12 checkout paths + 8 confirmation paths automatically. Tests price=0, quantity=-1, currency switching, status tampering, role elevation, captured-body parameter tampering.
AI Agent scanner — 14 categories
Auto-discovers chat endpoints (16 paths) and chat widgets in HTML. Runs ~80 payloads: system prompt extraction, jailbreak, encoding bypass, tool abuse, RAG poisoning, output bypass, webhook forgery.
GitHub Action — fail-on severity threshold
Drop into your CI in 5 minutes. Block PRs that introduce critical or high findings. Scan-on-push, with diff alerts when new findings appear.
Slack / webhook integration
Slash command /auditcore scan <url>. Signed-payload webhooks for scan completion. API keys (ac_live_*) for B2B integrations into your security tooling.
Real scenarios
Scenario 1 — Series-A SaaS, first paid pentest
You raised your A round, your enterprise sales team is asking for a SOC 2 report and customers are sending security questionnaires. A traditional pentest is $15-30k and takes 4-6 weeks. AuditCore Business at $299 covers your full app surface (up to 500 pages) plus full pentest scanners, mobile if you have an app, and unlimited rescans for the year.
You run it weekly, fix findings as they come, and have a clean report to attach to enterprise sales decks within a month. When you do hire a human pentester later (recommended for any serious B2B), they're auditing a much cleaner surface — you've already caught the BOLA, JWT and GraphQL issues automatically.
Scenario 2 — SaaS with a chatbot built on Claude / OpenAI
Your product has a customer-facing chatbot using Claude or OpenAI. You don't know if it leaks system prompts, accepts jailbreaks, or can be tricked into calling your tools with bad inputs. The AI Agent Scanner runs 80+ payloads against your chat endpoint and reports each result with reproduction steps.
First scan finds: jailbreak via DAN works (system prompt leaks), Base64 encoding bypasses your input filter, indirect injection via image alt text in the user's uploaded PDF triggers a tool call. Each finding has a fix recommendation: input sanitization patterns, output filter rules, tool-call allow-listing.
Scenario 3 — Headless commerce SaaS
You're a Shopify alternative — merchants use your APIs to build custom stores. Your security depends on flawless authorization: merchant A must never see merchant B's orders, products, customers. With 200+ API endpoints, manual testing is impossible.
AuditCore creates two test merchant accounts, crawls both, then cross-replays every captured request. Result: 4 BOLA findings on order endpoints, 1 BFLA on a webhook configuration endpoint. With diff alerts on weekly rescans, you catch regressions when a junior dev adds a new endpoint without proper authz checks.
Growth ($99) for early-stage SaaS · Business ($299) for scale
Sub-100 page app, no mobile, single customer-facing API: Growth at $99 covers it including Nuclei (8000+ CVEs), JWT analysis, AI Fix at 50/day. Larger surface, mobile apps, GraphQL, or multi-tenancy: Business at $299 adds BOLA/BFLA replay, sqlmap, GraphQL deep scan, and white-label PDF.
Frequently asked questions
Does AuditCore replace a human pentester?+
No — and we don't pretend otherwise. AuditCore catches the 80% of issues that follow known patterns (BOLA, BFLA, JWT, OWASP Top 10). Human pentesters catch business-logic flaws specific to your domain that no scanner can know about. Use AuditCore continuously to keep the automated stuff clean, then hire a human pentester annually for the deep-domain work. You'll get more value from the human because they aren't wasting hours on already-fixed-by-AuditCore issues.
How does multi-role testing work — do I need to give you credentials?+
Yes. The Business tier lets you provide credentials for multiple roles (admin, paying user, free user). We encrypt them with a per-account Fernet key (CREDENTIAL_ENCRYPTION_KEY) and use them only during your scan. Read-only access works for testing — you don't need admin credentials for the audit unless you want admin-role coverage.
Will BOLA scanning hit our database hard?+
Mild. Multi-role replay adds ~3x the requests of a single-role scan, but spread over 5-15 minutes. We respect Crawl-delay and rate limits. For larger apps, schedule scans during off-peak hours via the Scheduled Scans feature.
Can you scan our staging environment?+
Yes, that's the recommended pattern. Run Free Trial against production homepage to verify everything looks right, then run Growth or Business against staging continuously. Add the GitHub Action so every PR to staging gets scanned.
Do you scan native mobile apps?+
Yes — Business tier ($299) includes APK and IPA static analysis: manifest, permissions, secrets in binary, network security config, certificate pinning, native binary protections (PIE, NX, RELRO), 14 tracker SDK detection. Drag-and-drop the .apk/.ipa file to /scan.
Can I integrate with Jira / Linear?+
Direct integration is on the roadmap (Q2 2026). Today: webhook configs let you POST scan-completed events to any URL with HMAC signing. Most teams forward to a Slack channel and triage from there, or pipe into a custom Jira/Linear workflow.
How do you handle our SOC 2 / ISO requirements?+
We don't sell a 'compliance package' — but every finding maps to OWASP Top 10, CWE, and where applicable PCI / GDPR / NIS2 / ISO 27001 controls. Compliance auditors accept AuditCore reports as evidence of regular vulnerability scanning. SOC 2 / ISO 27001 audit packs (formatted control evidence) are on the Q2 2026 roadmap.
What about API rate limiting? You won't trigger our WAF?+
Our scanner respects Retry-After headers and 429s automatically. We can also be configured with a max requests-per-second cap. For very strict WAFs, we provide our scanner IPs so you can allowlist them during scans.