How is Enforster different from a normal scanner?

Scanners match patterns and hand you everything. Enforster runs the scans, then AI agents review each finding against your code, architecture and business context, reproduce what’s exploitable and drop what isn’t.

How do you reduce false positives?

Reachability analysis, data-flow tracing across services, authenticated dynamic validation and an agent review step that must justify every finding it keeps.

Can it really find business logic flaws?

Yes, within limits. Agents learn how your workflows are meant to behave (checkout, roles, approvals) and test what happens when they don’t. It complements human pentesting rather than replacing it.

Does my code leave my environment?

With the on-prem option, never. With SaaS, code is processed in your chosen region and is not used to train models.

Can I use my own AI model and keys?

Yes. Use Enforster-managed models, your own key for a hosted provider, a cloud provider in your account, or a fully self-hosted model.

Does Enforster help with audits?

Yes. Findings, exploits and verified fixes are mapped to frameworks such as ISO 27001, SOC 2 and PCI DSS, and you can generate a signed attestation report.

What does setup look like?

Connect a repo, a cloud account or a domain. First results usually arrive within the hour.

Which languages and clouds are supported?

All major languages including Python, TypeScript, Go, Java, Rust and C#, plus infrastructure-as-code, and AWS, GCP and Azure.

Agentic Security that thinks. Security that reads the room.

Security that reads the room. SAST, DAST, SCA, CSPM, attack surface and dark web in one platform, with AI agents that review every finding like a senior engineer. Less noise, more real bugs, including the business logic flaws scanners miss.

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Trusted by security teams at

Dell
Coforge
Xebia
Canon

Traditionalscannersshoutabouteverything.Enforsterlistens,reasonsandproves,soyourteamonlyhearsaboutwhat’sreal.

0.0/ 5

Average customer rating

Assets secured, from repos to rogue subdomains.

const invoice = await db.find(req.params.id)

if (!invoice) return res.sendStatus(404)

// no ownership check

res.json(invoice)

Agent: user-controlled id reaches db.find without an owner check. Reproduced as another tenant.

SAST

Reads your code like a reviewer

Static analysis with taste. Agents trace data flow across files and services, then ask the only question that matters: can an attacker actually reach this?

Explore SAST

DAST

Pokes the running app

Dynamic testing that logs in. Authenticated crawling, stateful flows and role switching, so broken access control and IDORs stop hiding behind the login screen.

Explore DAST

SCA

Knows which CVEs matter

Dependencies, with reachability. Every vulnerable package is checked against your call graph. If the vulnerable function is never called, it drops to the bottom of the list.

Explore SCA

CSPM

Keeps the cloud tidy

Posture across AWS, GCP & Azure. Misconfigurations ranked by blast radius, not by rule count. A public bucket full of logos is not a public bucket full of invoices.

Explore CSPM

ASM

Maps what you forgot you own

Attack surface, discovered. Subdomains, stray APIs, staging servers from 2021. Continuously found, fingerprinted and tested before someone else does.

Explore ASM

DARK WEB

Listens where you can’t

Leaks, creds & chatter. Leaked credentials, exposed tokens and mentions of your brand across paste sites and forums, matched to real accounts and rotated fast.

Explore DARK WEB

Fluent inJava.

Java
TypeScript
Python
PHP
Ruby
Go
Rust
Swift
Vue.js
Scala
Perl
C#
JavaScript
C++
C
Kotlin
Dart
R
Lua
Haskell
Clojure
Elixir
F#

Traditional scanner

1,284 alerts

HIGHPossible SQL injection — utils/db.js:14
HIGHOutdated library [email protected]
HIGHMissing header X-Frame-Options
HIGHHardcoded string resembles secret
HIGHPossible XSS — templates/footer.html
HIGHWeak cipher suite detected
HIGHPossible path traversal — lib/fs.ts:88
HIGHCookie without SameSite
HIGHRegex may be vulnerable to ReDoS
HIGHPossible open redirect — /r?to=
+ 1,274 more…

Enforster AI

7 verified findings

CriticalIDOR: any user can read any invoice
Exploit reproduced as user B → /api/invoices/1042
HighCoupon stacking bypasses checkout total
Business logic • proven with 2 requests
HighLeaked staging token found on paste site
Token valid • rotation PR opened
MediumReachable prototype pollution in lodash
Called from api/merge.ts:31

Drag to compare

Five steps to quiet.

Connect

Plug in repos, cloud accounts and domains. Read-only, in minutes.

Scan

SAST, DAST, SCA, CSPM, ASM and dark web engines run in parallel.

Reason

Agents review every finding with your code, architecture and business context.

Prove

Exploitable issues are reproduced safely. Everything else is explained and parked.

Fix

You get a pull request, not a PDF. Merge, re-test, done.

Five steps to quiet.

Keep scrolling. From first connection to merged fix, without a single spreadsheet of alerts.

Connect

Plug in repos, cloud accounts and domains. Read-only, in minutes.

Scan

SAST, DAST, SCA, CSPM, ASM and dark web engines run in parallel.

Reason

Agents review every finding with your code, architecture and business context.

Prove

Exploitable issues are reproduced safely. Everything else is explained and parked.

Fix

You get a pull request, not a PDF. Merge, re-test, done.

Complete coverage

1 / 4

Signal.

Less noise

Fewer alerts, every one worth opening. Context review removes the false positives before they reach you.

2 / 4

Context.

Knows your app

Architecture, auth model, data sensitivity and intent. Findings are judged the way your best engineer would.

3 / 4

Logic.

Beyond patterns

Coupon abuse, broken workflows, privilege jumps. Business logic flaws that no signature can describe.

4 / 4

Proof.

Show, don’t tell

Each critical issue ships with a reproducible exploit path and a suggested fix.

Clear as glass: we publish how we test. Every result comes with its methodology, not a marketing footnote.

60%

fewer false positives than traditional tools

90.2%

detection accuracy

35+

programming languages supported

Minutes

per LLM-powered scan, not hours

Figures as published by Enforster AI.

Every scan, exploit and verified fix is mapped to the controls you’re audited against, ready to export.

ISO/IEC 27001

Evidence for A.8.8 technical vulnerability management, A.8.29 security testing

Enforster produces evidence that supports these controls. Framework names belong to their owners; this is not a claim of certification.

One finding. Not four.

SAST, DAST, secrets and pentest results describing the same bug collapse into one canonical record, so you fix it once and track it once.

SAST

Tainted id reaches db.find()

api/invoices.ts:42

DAST

GET /api/invoices/1042 returns another tenant

role: user B

Pentest

Cross-tenant invoice read confirmed

PoC + replay

SAST

Missing ownership check

api/invoices.ts:44

Critical

IDOR: any user can read any invoice

Merged from 4 signals across 3 engines

Exploit provenFix PR readySynced to Jira

Open criticals

3.1d

Median time to fix

96%

Within SLA

Illustrative data

Wewentfromathousandalertstonine.Allninewerereal.

Head of AppSecFintech scale-up

1 / 4

Quotes are illustrative placeholders.

0.0

from 212 security teams (placeholder)

Run Enforster’s agents on the model you trust. Inference happens under your own account, so data residency and retention terms stay yours to set.

Hosted, cloud or fully self-hosted models
Switch providers per project
Keys stay in your vault, never in our logs

Your keyAnthropicEnforster agents

Claude models via your Anthropic key

Hosted

Cloud

Self-hosted

Default

Cloud, self-hosted or air-gapped. Same agents, same brains, wherever you need them.

Up and running before lunch.

Operated by: Enforster
Runs in: Our cloud, US or EU region
Models: Enforster-managed or your key
Your code: Processed for your scans, never used for training

A signed penetration test attestation your auditor, customers and board can rely on, generated from work Enforster has already proven, with nothing hidden.

Scope: systems, environments and dates tested
Methodology: whitebox, blackbox and automated coverage
Every finding with severity and CVSS
Proof-of-concept for each exploitable issue
Fixes verified by re-test
Open items, owners and target dates

Confidential

Penetration Test Attestation

Critical

High

Fixed

Signed by Enforster AI

VERIFIED
ENFORSTER

Illustrative report

Scanners match patterns and hand you everything. Enforster runs the scans, then AI agents review each finding against your code, architecture and business context, reproduce what’s exploitable and drop what isn’t.

A 30-minute demo with zero slides. Bring a repo, a domain or a cloud account and we’ll show you what’s actually exploitable, live.

Book a demo

Tell us a little about your stack. It lands straight in our team’s inbox, and a real person replies.

[email protected]

Agentic Security that thinks. Security that reads the room.AgenticSecuritythatthinksin context.

Trusted by security teams at

Six scanners. One brain.

SAST

DAST

SCA

CSPM

ASM

DARK WEB

Traditional scanner versus Enforster AI

Five steps to quiet.

Connect

Scan

Reason

Prove

Fix

Five steps to quiet.

Connect

Scan

Reason

Prove

Fix

Complete coverage

Signal.

Complete coverage

Context.

Complete coverage

Logic.

Complete coverage

Proof.

Benchmarked, not bragged.

Evidence your auditor will actually accept.

One finding. Not four.

Your model. Your keys.

Run it your way.

Audit-ready in days, not quarters.

Fair questions.

01How is Enforster different from a normal scanner?

02How do you reduce false positives?

03Can it really find business logic flaws?

04Does my code leave my environment?

05Can I use my own AI model and keys?

06Does Enforster help with audits?

07What does setup look like?

08Which languages and clouds are supported?

Stop chasingghosts.

Let’s find your real bugs.

Agentic Security that thinks. Security that reads the room.