Does it work with all repo types?

Yes. Public, private, and open source repositories are all fully supported with the same scanning engine, fix instructions, and dashboard.

How is it different from other scanners?

Most tools just pattern-match keywords and create false alarms. Our AI understands how your whole application works, tracking data flows, auth logic, and business rules, so it only alerts you to real problems.

What does self-hosted mean?

You deploy Secbez on your own servers or cloud account. Your source code never leaves your network. This is essential for regulated industries like finance, healthcare, and defense.

We're a small startup. Is this for us?

Absolutely. Book a call with the founder to talk through your stack and how Secbez fits a small team.

Does it change my code automatically?

No, we never touch your code. Instead, we generate Smart Fix instructions that you can copy-paste into your AI code editor to repair the issue safely.

What coding languages do you support?

We are fully framework agnostic. Support for Go, Elixir, and Java is coming soon.

Is my code safe with you?

Yes. On our cloud plan, we analyze your code but never permanently store source files. On the self-hosted plan, your code never leaves your infrastructure at all.

Secbez Labs catches vulnerabilities
before they ship.

Security for teams that ship fast, across every repository

Start free scan →Talk to founders

No credit card required · Setup in under 2 minutes

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Our team has helped protect

From startups to governments.

One reasoning core, two engines

We see your whole codebase, and we attack it too.

Most scanners pattern-match keywords, file by file. Secbez reasons over your system from two vantage points: the code at rest, and the application while it runs. Both share one model of how everything connects.

Static analysis (SAST)

Reads the code at rest.

Reasons about your codebase as a whole: a graph model plus a team of AI agents that follow how the system behaves across files, rather than checking lines in isolation.

✓Follows tainted input across function and file boundaries
✓Understands auth chains, state machines and business rules
✓Works even on partial or non-compiling code

Dynamic testing (DAST)

Attacks the app while it runs.

Agents operate your live application the way a human red-teamer would: they observe responses, form hypotheses, adapt, and chain multi-step exploits.

✓Drives a real browser and your APIs, not canned payloads
✓Agents share memory and coordinate through an attack graph
✓Exploits are proven end-to-end at runtime, not guessed

Both engines share the same foundation: your code graph. Every exploit the dynamic engine proves is correlated back to the exact source line, so you never chase a finding twice.

How it works

Every scan follows an auditable pipeline.

From first commit to production deploy, Secbez gives your team full visibility into every security decision.

GitHub PR with Secbez security check status

Continuous protection on every pull request

Secbez checks for vulnerabilities on every git push and pull request automatically. Set up once. Security runs in the background. Critical findings surface instantly.

Secbez fix instruction panel with code changes

Fix instructions you can actually use

No vague advisories. Secbez generates context-aware prompts with exact code changes and validation steps. Paste into your IDE, apply the fix, verify it works.

Multi-agent codebase graph visualization

Your codebase as a living graph

Most scanners check files in isolation. Secbez's multi-agent orchestration maps your entire application (data flows, auth logic, service boundaries) to eliminate false positives.

Your infrastructure. Your rules.

Deploy Secbez on your own servers. Source code never leaves your network. Essential for finance, defense, healthcare, and any team with strict compliance requirements.

Deep structural context

We understand your code the way your team does.

Source-to-sink dataflow

Traces user input from HTTP handlers through every function call to database queries, file writes, and API responses, tracing them across files and modules.

Cross-file caller chains

Maps which routes, controllers, and services can reach a vulnerable function, even when the call chain spans 10+ files.

Auth middleware detection

Validates whether authentication and authorization checks protect vulnerable operations, catching IDOR and privilege escalation that pattern scanners miss.

Business logic analysis

Identifies actor, target, and operation boundaries in your code to detect authorization bypass, race conditions, and transaction integrity violations.

Codebase Knowledge Graph

Live dataflow trace

Inside the engine

All the context, before any judgement.

Every scan starts by turning your repository into one queryable graph: functions, routes and variables as nodes; calls, dataflow and references as edges. Detection is deterministic; AI only reasons on top of it.

Step 1

Ingest & parse

Every file is parsed into a syntax tree. Language-agnostic, no execution, so it works even on partial or non-compiling code.

Step 2

Build the code graph

One property graph per snapshot, with auth-chain and state-machine overlays on top of calls and dataflow.

Step 3

Mark sources & sinks

Untrusted entry points become sources, dangerous operations become sinks, pinned to the exact line.

Step 4

Walk the paths

The engine follows tainted values from every source toward reachable sinks. No compensating control on the path? It's a candidate.

Cross-file taint tracecandidate #38 · 5 hops · 5 files

1source req.body.userId // routes/profile.ts

2 ↳ updateProfile(userId) // handlers/user.ts

3 ↳ resolveAccount(id) // services/account.ts

4 ↳ Account.find(id) // repo/account.ts

5sink db.query(raw) // db/client.ts

// no sanitizer or authorization check found on this path → handed to the agents with full context

Verification

Checked by specialists. Challenged by a verifier.

Findings originate only from the deterministic engine, and agents never invent them. Five specialist agents review each candidate with its evidence, then an independent verifier re-walks the graph trying to prove it's a false alarm. Only what survives reaches you.

Five specialist agents

Authorization & privilege

Missing guards, broken access control, escalation paths

Data-flow integrity

Tainted input reaching sensitive operations unsanitized

Business logic & invariants

Rules the code should enforce but doesn't

Workflow & replay integrity

Illegal state transitions, skipped or replayable steps

Resource & tenant isolation

Cross-tenant access and ownership gaps

The independent verifier

A separate agent that didn't produce the finding walks the graph up and down, hunting for the sanitizer or auth check that would disprove it. Findings that survive ship with the exact location, code snippet, dataflow path and a plain-language explanation.

Confidence you can act on

High, act now80–90%

Medium, worth a look40–70%

Low, surfaced, never hidden< 30%

Every finding carries a verified score. Nothing is silently dropped.

Diff scan, on every pull request

Full-codebase reach, at the cost of a diff.

Your changed lines seed a breadth-first search over the code graph, out to callers, callees and dataflow neighbors. If your PR sends a new value into an untouched sink three files away, Secbez reaches it. A tool that only reads the diff never would.

Results land as a native check run on the pull request, in minutes, with the same verification as a full scan.

changed lines

sink

breadth-first expansiondepth-limited · cross-file

Live demo

See it in action.

Vulnerable

1@app.route('/api/user/<user_id>', methods=['GET'])

2def get_user_data(user_id):

3 query = f"SELECT * FROM users WHERE id = '{user_id}'"

4 user = db.execute(query)

5 return jsonify(user)

Secbez Finding

CriticalSQL Injection (CWE-89)

app/routes/users.py:3

The user_id parameter is interpolated directly into a SQL query string without sanitization.

Fix:

3 query = "SELECT * FROM users WHERE id = %s"

4 user = db.execute(query, (user_id,))

Verify:

Send user_id = "1' OR '1'='1" and it should return 400, not all users.

Built for your stage

Security that meets you where you are.

Startups

Ship fast, stay secure

Set up in minutes. Get security coverage on every PR without a dedicated security hire. Start free.

Growth Teams

Backlog-free scaling

Multi-repo support, smart baseline suppression, and prioritization by business impact. Security that keeps pace with your velocity.

Enterprise / Regulated

Full Compliance

Self-hosted deployment. Auditable pipeline. Your code never leaves your network. Built for finance, defense, and healthcare.

The pipeline

Every step is traceable.

Code pushed

Scan starts

Deep analysis

Context check

Filter noise

Apply rules

Results posted

A developer pushes code or opens a pull request.

Talk to founders

Let's talk about your stack.

30 minutes with Elshad, CEO & Co-Founder. We walk through your codebase, your security goals, and whether Secbez is the right fit.

Book a call Send a message

Secbez Labs

Let's Secure you

30 min

Google Meet

Hosted by

Elshad

CEO & Co-Founder

Open the booking page to schedule a call.

FAQ

Questions and answers.

It acts like an automated security expert for your code. It finds hidden security bugs on every pull request and gives you exact instructions on how to fix them.

Start securing your code today.

One free scan. No credit card. Setup in 2 minutes.