How is Parameter different from XBOW?

Both run autonomous agents that validate what they find. XBOW tests the running web app and its APIs, with code uploaded as context, and each assessment is started from the console or triggered from CI through the API. Parameter connects to the repository and cloud account as well as the running app, tests every release as it ships under one contract, and returns findings into the pull request. Which fits depends on whether you want an assessment of the app or coverage of the stack.

Does Parameter test black-box too?

Yes. Give the agents a URL and test accounts and they test the running application as different users. Connecting the repository and a cloud role adds the code, dependency, and cloud coverage on top.

How is exploitability proven?

Each finding is exploited by the agent before it is reported, and ships with a working proof of concept and reproduction steps. That is why the false positive rate stays under 1%.

How fast are the first results?

First proven findings land within 24 hours of connecting, and every release after that is tested as it ships.

How is Parameter priced?

One annual contract, scoped to the environment covered. The price does not move with the number of releases tested, findings raised, or re-tests run, so the cost per release falls as you ship more.

When is XBOW the better choice?

When you want the strongest public track record for autonomous exploit-chaining on a web app, a letter of attestation from a named vendor, or procurement through a cloud marketplace. XBOW's results on the HackerOne and Microsoft leaderboards are real, and nothing on this page argues otherwise.

Parameter Platform

A red team that never stops.

/ pentesting

Real vulnerabilities, found and proven.

/ Cloud security

Cloud misconfigs, caught continuously.

/ Supply chain

Only the reachable dependency risks.

/ sentinel

Vulnerabilities caught before they merge.

/ Blog

Research, writeups, and product news.

/ Security

How we secure the agents and your data.

/ About

The team behind Parameter.

/ Careers

Open roles. Come build with us.

Blog

Book a call

[ XBOW alternative ]

Continuous, comprehensivepentests with Parameter.

AI agents that find vulnerabilities in your web apps, APIs, code, and cloud. Every layer, every release.

See first findings in 24 hours

24h

to first findings

<1%

false positives

24/7

testing, no test window

Built by the team that secured:

[ side by side ]

Where XBOW and Parameterdiffer.

XBOW pentests the running application, and its public track record for exploit-chaining is the best in the category. Parameter pentests that, plus the code, cloud, and dependencies behind it, on every release.

XBOW

Autonomous web app pentesting

Parameter

Autonomous pentesting, every layer

What it can reach

The running app

Every layer

Covers

AppsAPIsCloudCodeDependencies

Approach

Black-box first; code as context

White-box on code and cloud, plus black-box

Cadence

On demand, or triggered from CI via the API

Every release, in the contract

First result

Not published

24 hours

Validation

Validated and reviewed; no published FP rate

Exploited first; under 1% FP

Code and dependencies

Not offered

Every pull request

Cloud

Not offered

AWS, GCP, Azure, with Terraform fix

Findings land

Console, Jira, Microsoft Sentinel

Inline on the pull request

Pricing

Quoted, usage-based; $50,000 a year on AWS Marketplace (Sep 2026). Self-serve tier retired Jul 2026

Annual, per environment

Not sure which fits? Tell us what you are shipping and we will scope the test in minutes.

XBOW details checked against its own site on 6 September 2026. Tell us if something has changed.

XBOW

The running app

Parameter

Every layer

What it can reach

Covers

XBOW

AppsAPIsCloudCodeDependencies

Parameter

AppsAPIsCloudCodeDependencies

Approach

XBOW

Black-box first; code as context

Parameter

White-box on code and cloud, plus black-box

Cadence

XBOW

On demand, or triggered from CI via the API

Parameter

Every release, in the contract

First result

XBOW

Not published

Parameter

24 hours

Validation

XBOW

Validated and reviewed; no published FP rate

Parameter

Exploited first; under 1% FP

Code and dependencies

XBOW

Not offered

Parameter

Every pull request

Cloud

XBOW

Not offered

Parameter

AWS, GCP, Azure, with Terraform fix

Findings land

XBOW

Console, Jira, Microsoft Sentinel

Parameter

Inline on the pull request

Pricing

XBOW

Quoted, usage-based; $50,000 a year on AWS Marketplace (Sep 2026). Self-serve tier retired Jul 2026

Parameter

Annual, per environment

XBOW details checked against its own site on 6 September 2026.

Not sure which fits? Tell us what you are shipping and we will scope the test in minutes.

[ how it works ]

Continuous pentestingin three steps.

[ coverage ]

One platform for code, cloud,and dependencies.

Two autonomous platforms differ most in what they can reach. XBOW tests the running web app and its APIs. Parameter also connects to the code, the cloud account, and the dependency tree.

Web apps and APIs

Authentication, authorization, and business logic on the running application, tested as different users. Findings scanners cannot reason about: skipped steps, swapped identifiers, replayed requests.

Every pull request

An AI reviewer on GitHub, GitLab, or Bitbucket flags exploitable issues as inline comments before the code is merged. The agents review more than 10,000 pull requests a day.

Cloud infrastructure

Misconfigured buckets, permissive IAM, and exposed services across AWS, Google Cloud, and Azure, with attack paths traced to your data and a Terraform fix for each.

Dependencies and secrets

Vulnerable packages flagged only when your code reaches the vulnerable path, and leaked keys caught in commits and git history before they ship.

[ definition ]

Why teams look for an XBOW alternative

XBOW and Parameter are both autonomous pentesting platforms, so the comparison is about reach and cadence. XBOW tests the running web app and its APIs from a URL, taking source code as context. Parameter also connects to the repository, the cloud account, and the dependency tree, so a finding can be chained from a vulnerable package through your code to a misconfigured bucket, on every release, and proven before it reaches you.

[ FAQ ]