Software Alternatives & Startups

Xygeni.io VS s3-lambda

Compare Xygeni.io VS s3-lambda and see what are their differences

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Xygeni.io logo Xygeni.io

One platform for application security: code to cloud visibility, AI-powered prioritization, and instant remediation.

s3-lambda logo s3-lambda

Lambda functions over S3 objects: each, map, reduce, filter
  • Xygeni.io AI Security
    AI Security //
    2026-08-27
  • Xygeni.io Malware Detection
    Malware Detection //
    2026-08-27
  • Xygeni.io SAST
    SAST //
    2026-08-27
  • Xygeni.io Funnel
    Funnel //
    2026-08-27
  • Xygeni.io Code Quality
    Code Quality //
    2026-08-27
  • Xygeni.io Dependencies
    Dependencies //
    2026-08-27

AI is now writing code, and most security tools still can't see it. Xygeni is an all-in-one AppSec platform built around AI at every layer, not bolted on as a chatbot, but woven into how findings get found, understood, and fixed.

Start with detection: Xygeni's native scanners cover SAST, SCA, DAST, Secrets, CI/CD, and IaC, and AI Triage evaluates every finding for real exploitability rather than treating every alert as equally urgent. That intelligence applies equally to Xygeni's own scanners and to third-party tools you already run, so switching vendors isn't required to get AI-powered prioritization across your whole stack.

Fixing is AI-powered too. AI-driven autofix turns vulnerable code into a validated, one-click pull request, and trusted remediation flows handle dependency upgrades automatically, cutting manual remediation effort dramatically instead of leaving developers to research every fix from scratch.

DevAI brings this into the IDE itself: a proactive security agent that checks code as it's written, including AI-generated code, without needing a developer to prompt it. CoreAI sits above that as an organizational memory layer, orchestrating risk context across the platform so decisions stay consistent as the codebase grows.

Xygeni also secures the AI your teams are already building with. It continuously discovers AI assets across your repositories, models, agents, MCP servers, skill files, and prompts, and analyzes skill and configuration files as security artifacts, catching unsafe entries that conventional scanners read as harmless text. An AI-BOM exports on demand, ready for auditors and regulators asking what AI you're actually running.

And Malware Early Warning uses ML-assisted detection to catch malicious open-source packages before a signature exists, closing the exact window most supply chain attacks exploit.

One platform, one prioritization model, AI applied everywhere risk actually lives.

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

Xygeni.io

Website
xygeni.io
$ Details
freemium
Platforms
On Premise Web / Cloud (SaaS) CLI REST API MCP IDE Plugin
Release Date
2023 January
Startup details
Country
Spain
State
Madrid
City
Madrid
Employees
20 - 49

Xygeni.io features and specs

  • ASPM (Application Security Posture Management)
    Unifies findings from native scanners and third-party tools into one prioritized risk view, from code to cloud.
  • DevAI
    Proactive, in-IDE security agent that checks code, including AI-generated code, without requiring developer prompts.
  • CoreAI
    Organizational intelligence layer orchestrating risk context and prioritization across the platform.
  • AI-Powered Remediation
    One-click, validated pull requests for code fixes; automated upgrade flows for vulnerable dependencies.
  • Prioritization Funnels
    Contextual filtering by exploitability, reachability, business impact, and EPSS, cutting noise to what's actually critical.
  • SBOM/AI-BOM Generation
    One-click export in SPDX or CycloneDX formats, plus AI-BOM for AI asset inventory and audit readiness.
  • Anomaly Detection
    Monitors the SDLC for unauthorized changes to code, pipelines, and configurations, with real-time alerts.
  • Build Security
    Generates SLSA and in-toto attestations with keyless signatures, verifying artifact integrity from build to deployment.
  • Malware Early Warning (MEW)
    ML-assisted engine that detects malicious open-source packages before a signature or CVE exists.

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 Xygeni.io

Overall verdict

  • Xygeni.io is a solid choice for organizations seeking to secure their software supply chain, offering comprehensive detection and remediation capabilities across code, dependencies, and CI/CD pipelines. It's particularly strong for teams needing automated, real-time visibility into security risks throughout the software development lifecycle.

Why this product is good

  • Provides end-to-end software supply chain security covering source code, dependencies, build pipelines, and artifacts
  • Offers automated detection of secrets, malware, and misconfigurations before they reach production
  • Includes SBOM (Software Bill of Materials) generation and management for compliance requirements
  • Integrates with popular CI/CD tools and DevOps workflows for seamless adoption
  • Features real-time monitoring and alerting to catch vulnerabilities early in development
  • Supports compliance with emerging supply chain security standards and regulations

Recommended for

  • DevSecOps teams looking to shift security left in their development process
  • Organizations needing to comply with software supply chain security regulations
  • Companies using open-source dependencies who need vulnerability and license risk management
  • Engineering teams wanting automated secret detection and remediation in code repositories
  • Enterprises requiring SBOM generation for regulatory or customer compliance needs
  • Teams seeking to secure CI/CD pipelines against tampering and unauthorized access

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

Xygeni.io videos

Welcome to Xygeni - Product Tour

s3-lambda videos

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Category Popularity

0-100% (relative to Xygeni.io and s3-lambda)
Cyber Security
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Application Security
100 100%
0% 0
Databases
0 0%
100% 100

Questions & Answers

As answered by people managing Xygeni.io and s3-lambda.

What makes your product unique?

Xygeni.io's answer

Xygeni stands out on three fronts: - Malware Early Warning (MEW): catches malicious open-source packages before a signature or CVE exists, closing the window most supply chain attacks exploit. Most tools, including competitors' free tiers, only detect malware once it's already known. - AI applies to everything, not just native findings: Xygeni's ASPM layer ingests results from third-party scanners already in your stack and applies the same AI Triage and Remediation to them, so switching vendors isn't required. - Full AppSec breadth at mid-market pricing: SAST, DAST, SCA, Secrets, CI/CD, IaC, and AI Security in one platform, with a genuinely usable free tier instead of enterprise-only contracts. European HQ means data sovereignty is built in, not bolted on.

Why should a person choose your product over its competitors?

Xygeni.io's answer

Most AppSec tools force a choice: buy a narrow best-of-breed tool per risk type, or buy an enterprise suite that's too expensive and too heavy for a mid-market team. Xygeni removes that trade-off. - You don't have to rip out what you already have. Xygeni's ASPM layer ingests findings from third-party scanners already in your stack and applies the same AI Triage, Explanation, and Remediation to them. Most competitors only prioritize their own findings, leaving everything else as a separate dashboard. - It catches what signature-based tools miss. Malware Early Warning (MEW) detects malicious open-source packages before a CVE or signature exists, even on the free tier. Snyk Free and Aikido Free, the closest comparisons in price and positioning, don't detect malware without a known signature. - It's full breadth without enterprise-only pricing. SAST, DAST, SCA, Secrets, CI/CD, IaC, and AI Security in one platform, at mid-market ACVs, not the six-figure contracts typical of Checkmarx or Veracode. - Security lives where developers already work. DevAI runs inside the IDE, proactively, without needing to be prompted, so security stops feeling like a separate tool developers have to go check. - Data sovereignty is default, not an add-on. European headquarters, relevant for GDPR and any organization that can't put data through a US-based platform.

How would you describe the primary audience of your product?

Xygeni.io's answer

Xygeni's primary audience is application security and engineering teams at mid-market, regulated, or regulation-adjacent companies (finance, insurance, public sector, industrial), typically running teams that manage numerous repositories and CI/CD pipelines across multiple SCMs.

  • CISOs and Heads of Application Security: the economic buyer, focused on risk posture, audit and certification readiness, data sovereignty, and consolidating too many disconnected security tools.
  • DevSecOps Leads and AppSec Engineers: the technical evaluator, focused on coverage, false-positive rates, prioritization quality, and whether the platform ingests findings from tools they already run.
  • VP Engineering / Head of Engineering: the affected stakeholder, concerned with developer friction, build times, and whether security adds work for their teams instead of removing it.
  • Developers: not the buyer, but a real influence, the IDE and DevAI experience wins hearts and accelerates adoption even though budget decisions sit above them.

Beyond this core, Xygeni also reaches individual developers and small teams through a free, self-serve tier (up to 25 repos, 50 AI scans/month), which serves as both an entry point for smaller organizations and a growth channel toward the paid tiers.

What's the story behind your product?

Xygeni.io's answer

Xygeni was founded in 2021 and is headquartered in Madrid, Spain, built around a simple observation: application security tools multiply faster than the risk they're meant to reduce. Most organizations end up running a separate scanner for code, dependencies, secrets, pipelines, and infrastructure, each with its own dashboard, its own alerts, and no shared sense of what actually matters.

Xygeni's answer was to build one platform instead of one more tool: native scanners across the full SDLC, unified by an ASPM layer that also ingests findings from the third-party tools teams already run, so adopting Xygeni never means ripping anything out. AI sits at the center of that thesis, not as an add-on, but as the layer that turns raw findings into prioritized, explained, and often auto-remediated fixes.

The company is privately held, has raised $4.4M in a seed round, and has grown to 11-50 people. It's currently transitioning from a founder-led company to a professionally managed one, with a new CEO (previously the company's Product lead) stepping in.

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Social recommendations and mentions

Based on our record, Xygeni.io seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Xygeni.io mentions (2)

  • Open Source, AI and the New Attack Surface - Webinar
    🚀 𝐒𝐚𝐟𝐞𝐃𝐞𝐯 𝐓𝐚𝐥𝐤: 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞, 𝐀𝐈 & 𝐓𝐡𝐞 𝐍𝐞𝐰 𝐀𝐭𝐭𝐚𝐜𝐤 𝐒𝐮𝐫𝐟𝐚𝐜𝐞: 𝐖𝐞𝐚𝐩𝐨𝐧𝐢𝐳𝐞𝐝 𝐂𝐨𝐝𝐞, 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐃𝐞𝐟𝐞𝐧𝐬𝐞𝐬 Join experts from Red Hat, TikTok, and Xygeni for a live discussion on how to stay resilient in this new landscape. - Source: dev.to / 10 months ago
  • How to Prevent SQL Injection
    At Xygeni, we believe that the best way to prevent SQL injections is to catch them early—ideally before they ever leave your code editor. That’s exactly what our Code Security solution is built to do. - Source: dev.to / over 1 year ago

s3-lambda mentions (0)

We have not tracked any mentions of s3-lambda yet. Tracking of s3-lambda recommendations started around Mar 2021.

What are some alternatives?

When comparing Xygeni.io and s3-lambda, you can also consider the following products

Aikido Security - Secure your code, cloud, and runtime in one central system. Find and fix vulnerabilities fast and automatically.

Cycode - Cycode is a complete software supply chain security solution that provides visibility, security, and integrity across your entire SDLC.

Plexicus - Plexicus is an Application Security Posture Management (ASPM) and Cloud-Native Application Protection Platform (CNAPP) that provides a single, correlated view of risk across your entire software development lifecycle.

Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.

Socket - Depend on Socket to protect your app from malicious dependencies lurking in your open source supply chain.

Wiz - The leading cloud infrastructure security platform that enables organizations to rapidly identify and remove the most pressing risks in the cloud.