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Penetrify.cloud VS s3-lambda

Compare Penetrify.cloud VS s3-lambda and see what are their differences

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Penetrify.cloud logo Penetrify.cloud

Autonomous AI penetration testing, on every deploy

s3-lambda logo s3-lambda

Lambda functions over S3 objects: each, map, reduce, filter
  • Penetrify.cloud Dashboard penetrify.cloud
    Dashboard penetrify.cloud //
    2026-06-29
  • Penetrify.cloud Report penetrify.cloud
    Report penetrify.cloud //
    2026-06-29

Penetrify replaces the once-a-year manual penetration test with an autonomous AI red team that runs whenever you deploy. Point it at a target and the agent handles the whole engagement itself - reconnaissance, authentication and authorization testing, exploitation, and multi-step attack chaining - returning a clear report with reproduction steps and fixes in minutes, with no security expertise required.

Unlike DAST scanners that only flag known patterns, Penetrify proves what an attacker can actually do, so it catches broken access control, IDOR, SSRF, and business-logic flaws as well as the full OWASP Top 10 and hundreds of other vulnerability classes. It tests web applications, REST and GraphQL APIs, and infrastructure, and plugs into GitHub Actions, GitLab CI, and a REST API for continuous coverage.

Designed for developers, founders, and lean security teams, it delivers the output of a $10,000–$50,000 manual pentest as an ongoing subscription from $100/month - five plans up to Enterprise at $5,000/month, with a free trial. Built by a team with 20+ years in production security; founded in 2025 in Brno, Czech Republic.

  • s3-lambda Landing page
    Landing page //
    2022-11-04

Penetrify.cloud

Website
penetrify.cloud
Pricing URL
Official Penetrify.cloud Pricing
$ Details
paid $100 / Monthly (1 penetration test per month)
Platforms
Web SaaS Cloud
Release Date
2025 November
Startup details
Country
Czech Republic
City
Brno
Founder(s)
Viktor Bulanek
Employees
10 - 19
Edit details

s3-lambda

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Penetrify.cloud features and specs

  • Fully autonomous
    runs from a URL, no operator
  • Exploits & chains vulnerabilities
    proof, not just alerts

s3-lambda features and specs

  • Batch processing of S3 objects
    s3-lambda provides a straightforward way to perform batch operations on large numbers of S3 objects, enabling map, filter, and reduce-style processing over entire S3 buckets or prefixes without writing boilerplate code.
  • Familiar functional API
    The library uses a functional programming paradigm with operations like map, filter, and reduce, making it intuitive for JavaScript developers to process S3 objects using patterns they already know.
  • Built-in concurrency control
    s3-lambda handles parallel processing of S3 objects with configurable concurrency, allowing users to control how many operations run simultaneously and avoid overwhelming AWS resources or hitting rate limits.
  • Context-aware operations
    The library provides a context object within each operation that includes useful metadata about the current object being processed, simplifying access to S3 object properties during transformations.
  • Easy integration with Lambda
    Designed to work seamlessly within AWS Lambda functions, making it straightforward to set up event-driven, serverless pipelines for processing large volumes of S3 data without managing infrastructure.

Possible disadvantages of s3-lambda

  • Unmaintained project
    The repository appears to be no longer actively maintained, with limited recent commits and unresolved issues, which raises concerns about long-term reliability, security patches, and compatibility with newer AWS SDK versions.
  • Limited documentation
    The project's documentation is relatively sparse, lacking comprehensive examples, edge case handling guidance, and detailed API references, which can make it challenging for new users to adopt effectively.
  • AWS SDK version dependency
    The library depends on an older version of the AWS SDK for JavaScript, which may conflict with projects using the newer AWS SDK v3 and could miss out on performance improvements and features in updated SDKs.
  • Limited error handling flexibility
    The built-in error handling mechanisms are relatively basic, and handling partial failures or implementing sophisticated retry logic for individual object operations requires additional custom code from the developer.
  • Narrow scope of functionality
    The library is tightly focused on S3 object processing and does not integrate with other AWS services or provide utilities beyond basic map/filter/reduce operations, limiting its usefulness in more complex data pipeline scenarios.

Analysis of Penetrify.cloud

Overall verdict

  • I don't have verified, specific information about Penetrify.cloud, as it appears to be a lesser-known or possibly new service without substantial independent reviews, security audits, or established reputation data available to me. Before using it, especially for security/penetration testing purposes, thorough independent research is strongly recommended.

Why this product is good

  • Limited public information or third-party reviews are available to verify claims of quality or reliability
  • No verifiable track record, certifications, or client testimonials could be confirmed
  • Security and penetration testing tools require high trust, and unverified providers carry inherent risk
  • Domain and branding suggest a niche cybersecurity tool, but legitimacy and effectiveness are unconfirmed

Recommended for

  • Not recommended without independent verification
  • Users should first check for company transparency, contact information, and business registration
  • Security professionals should look for peer reviews, case studies, or industry recognition before adoption
  • Consider established, well-reviewed alternatives in the penetration testing space unless you can independently verify this service's credibility and safety

Analysis of s3-lambda

Overall verdict

  • s3-lambda is a useful Node.js library for performing operations like map, reduce, and filter directly on S3 objects using Lambda, making it good for developers who need efficient, serverless-based batch processing of S3 data without managing infrastructure. It is well suited for smaller to medium projects but may not be actively maintained for enterprise-scale needs.

Why this product is good

  • Simplifies common S3 batch operations (map, filter, reduce) with a clean, functional API
  • Leverages AWS Lambda for scalable, serverless parallel processing of S3 objects
  • Reduces boilerplate code for iterating over and transforming large numbers of S3 objects
  • Open-source and free to use, allowing customization for specific workflows
  • Integrates well with existing AWS infrastructure and Node.js applications

Recommended for

  • Developers building serverless data pipelines on AWS
  • Teams needing to process or transform large sets of S3 objects without provisioning servers
  • Node.js developers looking for a functional programming approach to S3 operations
  • Projects with batch processing needs that fit within Lambda's execution limits
  • Prototyping or small-to-medium scale ETL tasks involving S3 data

Penetrify.cloud videos

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Penetrify.cloud: Create and Run a Security Test for a New Application

s3-lambda videos

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Category Popularity

0-100% (relative to Penetrify.cloud and s3-lambda)

Penetrify.cloud

s3-lambda

Web Application Security
100 100%
Web Application Security
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Security
100 100%
Security
0% 0
Databases
0 0%
Databases
100% 100

Questions & Answers

As answered by people managing Penetrify.cloud and s3-lambda.

What makes your product unique?

Penetrify.cloud's answer

Most tools scan - they flag patterns that might be vulnerable. Penetrify exploits: an autonomous AI agent actually attacks the application, chains weaknesses into multi-step attack paths, and proves real impact, the way a human pentester would. It does this from just a URL, with no operator or security expertise needed, and runs continuously on every deploy through your CI/CD pipeline. The result is penetration-test depth - including authorization, IDOR, and business-logic flaws that scanners miss - delivered as an always-on SaaS instead of a once-a-year engagement.

Why should a person choose your product over its competitors?

Penetrify.cloud's answer

  • vs. manual penetration testing: results in minutes instead of 1–3 weeks, from $100/month instead of $10,000–$50,000 per engagement, and continuous on every release instead of once or twice a year.
  • vs. DAST scanners (Burp Suite, Acunetix, OWASP ZAP): Penetrify exploits and chains vulnerabilities rather than only detecting known signatures, so it catches broken access control, IDOR, SSRF, and business-logic flaws those tools typically miss - and it's fully autonomous, requiring no manual operator.
  • vs. other AI security tools: true end-to-end autonomy (URL in, exploit-proven report out), native CI/CD integration, and developer-focused reports with reproduction steps and remediation.

How would you describe the primary audience of your product?

Penetrify.cloud's answer

Development teams, startups, founders, and SMBs - fast-shipping teams that need continuous security coverage but don't have the budget for repeated manual pentests or an in-house offensive-security specialist. Also DevSecOps engineers who want a real penetration test wired into the build pipeline rather than a periodic audit.

What's the story behind your product?

Penetrify.cloud's answer

Penetrify was founded in 2025 in Brno, Czech Republic, by Viktor Bulanek (MSc IT Security, 20+ years in security, four-time CTO). After years building and securing production systems, he kept seeing the same gap: startups were priced out of $10k–$50k manual pentests and stuck with once-a-year testing that couldn't keep up with weekly deploys. So the team built an autonomous AI agent that runs the same methodology a senior security engineer would - continuously, and at a price a side project can justify. Penetrify is operated by Algofy s.r.o.

Which are the primary technologies used for building your product?

Penetrify.cloud's answer

Penetrify runs on AWS serverless infrastructure (Lambda, containerized agents, S3, CloudFront). The autonomous testing agents are powered by frontier large language models, including Anthropic's Claude. The backend is a Python/FastAPI API; the web app is built with React and TypeScript.

Who are some of the biggest customers of your product?

Penetrify.cloud's answer

As a security vendor we keep our customer list confidential - clients generally prefer not to publicize who runs their penetration testing. Penetrify is used primarily by startups, SaaS companies, and software development teams that ship frequently and need continuous security coverage.

User comments

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What are some alternatives?

When comparing Penetrify.cloud and s3-lambda, you can also consider the following products

Burp Suite - Burp Suite is an integrated platform for performing security testing of web applications.

Acunetix - Audit your website security and web applications for SQL injection, Cross site scripting and other...

Nessus - Nessus Professional is a security platform designed for businesses who want to protect the security of themselves, their clients, and their customers.

Detectify - Detectify provides a user friendly and thorough web security scan that allows you to focus 100% on web development.

Intruder - Intruder is a security monitoring platform for internet-facing systems.

Cobalt - CAD and 3D modeling software for Mac and Windows.

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