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VS Code VS Enkrypt AI

Compare VS Code VS Enkrypt AI and see what are their differences

VS Code

Build and debug modern web and cloud applications, by Microsoft

Rating
5.0 · 1 review
Pricing
Open source
Alternatives Is it good?
Enkrypt AI

Achieve AI security and safety with a platform that detects threats, removes vulnerabilities, and monitors performance for continuous insights.

Rating
0 reviews
Alternatives Is it good?
Gruvi.ai
Unified support inbox blending AI automations with genuine human empathy. Set up in 5 mins. Smarter than chatbots, our context-aware AI handles emails & chats with a human touch. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, VS Code seems to be more popular. It has been mentioned 1219 times since March 2021.

social mentions
1,219 vs 0
Text Editors popularity
100% vs 0%
alternatives listed
240+ vs 93

Base details

Website, pricing, platforms and company facts side by side.

VS Code
Enkrypt AI
Website code.visualstudio.com enkryptai.com
Pricing
Open source
Official pricing
Company Startup from the United States Startup from the United States · 1 - 9 employees · 2023
Listed in
Text Editors IDE Software Development Developer Tools +1
Security & Privacy Cyber Security Governance, Risk And Compliance AI +1

About VS Code and Enkrypt AI

In their own words, as submitted to SaaSHub.

VS Code
Enkrypt AI

No description of VS Code yet.

Enkrypt AI helps companies build and deploy generative AI securely and responsibly. Our platform automatically detects, removes, and monitors risks like hallucinations, privacy leaks, and misuse across every stage of AI development. With tools like industry-specific red teaming, real-time...

Read more about Enkrypt AI

Features and specs

What each product offers, as listed by its team.

VS Code 8 features
Enkrypt AI 5 features
  • Cross-platform
    VS Code works on Windows, macOS, and Linux, providing a consistent development experience across different operating systems.
  • Extensibility
    A vast library of extensions allows users to add functionalities like debuggers, linters, and themes, making it highly customizable.
  • Integrated Git
    Built-in Git integration makes it easy to manage version control tasks directly within the editor.
  • Performance
    Lightweight compared to full-fledged IDEs, ensuring good performance even on systems with limited resources.
  • IntelliSense
    Advanced code completion and refactoring tools help improve coding efficiency and reduce errors.
  • Community Support
    A strong and active community provides extensive support, tutorials, and third-party extensions.
  • Debugging
    Robust debugging tools for various languages and frameworks are available out of the box.
  • Free and Open-Source
    VS Code is completely free to use and open-source, which is beneficial for both individual developers and organizations.

Possible disadvantages

  • Limited IDE Features
    While extensible, it may lack some advanced features found in dedicated IDEs out of the box.
  • Extension Management
    Managing and configuring a large number of extensions can become cumbersome and sometimes lead to performance issues.
  • Learning Curve
    Although user-friendly, it has a steeper learning curve for beginners due to its numerous features and customization options.
  • Memory Usage
    Despite being lightweight, it can consume a significant amount of memory when multiple extensions are installed.
  • Update Frequency
    Frequent updates may sometimes introduce bugs or require users to adapt to new changes quickly.
  • Internet Dependency
    Some features and extensions may require an internet connection to function optimally.
  • Telemetry
    By default, VS Code collects usage data, which might be a concern for users sensitive about data privacy. However, this can be disabled.
  • Comprehensive AI Security Testing
    Enkrypt AI provides robust red-teaming and security testing capabilities for LLMs, helping organizations identify vulnerabilities such as prompt injection, jailbreaks, and data leakage before deploying AI models into production.
  • AI Compliance and Governance
    The platform helps organizations meet regulatory and compliance requirements related to AI, including frameworks like the EU AI Act, NIST AI RMF, and OWASP Top 10 for LLMs, making it easier to deploy AI responsibly.
  • Guardrails for AI Safety
    Enkrypt AI offers real-time guardrails that can detect and mitigate harmful outputs such as toxicity, bias, hallucinations, and sensitive data exposure, ensuring safer AI interactions in production environments.
  • Support for Multiple LLM Providers
    The platform is designed to work across various LLM providers and models, including open-source and proprietary models, giving organizations flexibility in their AI stack without being locked into a single vendor.
  • Detailed Risk Reporting and Monitoring
    Enkrypt AI provides detailed risk assessment reports and continuous monitoring dashboards that give organizations visibility into their AI models' safety posture, enabling data-driven decisions about model deployment and improvement.

Possible disadvantages

  • Emerging Market Player
    As a relatively newer company in the AI security space, Enkrypt AI may lack the extensive track record and battle-tested reputation of more established cybersecurity or AI governance vendors, which could be a concern for risk-averse enterprises.
  • Potential Integration Complexity
    Integrating AI security and guardrail solutions into existing ML pipelines and workflows may require significant engineering effort, particularly for organizations with complex or legacy infrastructure.
  • Limited Public Pricing Transparency
    Enkrypt AI does not prominently display pricing on its website, requiring potential customers to engage in sales conversations to understand costs, which can slow down evaluation and decision-making processes.
  • Rapidly Evolving Threat Landscape
    The AI security field is changing extremely fast, with new attack vectors and vulnerabilities emerging regularly. Keeping guardrails and red-teaming tools current with the latest threats is an ongoing challenge that may lead to coverage gaps.
  • Niche Focus May Limit Broader Utility
    Enkrypt AI's specialized focus on LLM security and safety means it may not address broader enterprise security needs, requiring organizations to maintain additional security tools and vendors for comprehensive coverage.

Analysis

An editorial look at what each product does well and who it suits.

VS Code
Enkrypt AI

Overall verdict

  • Yes, VS Code is generally considered a good choice for developers due to its flexibility, efficiency, and strong community support. It is lightweight, fast, and user-friendly, catering to both novice and experienced developers.

Why this product is good

  • VS Code, developed by Microsoft, is a widely popular and versatile code editor. It offers a robust extension ecosystem, which allows developers to customize their workflow and coding environment extensively. Additionally, VS Code supports numerous programming languages right out of the box and provides features like IntelliSense, debugging, Git integration, and a built-in terminal, making it a powerful tool for developers.

Recommended for

  • Web developers looking for a comprehensive yet lightweight coding environment.
  • Software developers who need an editor with extensive language support and customization options.
  • Beginner programmers who would benefit from a feature-rich editor that can grow with their skills.
  • Developers interested in an open-source tool with continuous updates and community-driven enhancements.

Overall verdict

  • Enkrypt AI is a promising AI security and governance platform focused on helping enterprises safely deploy LLMs and generative AI applications through guardrails, red-teaming, and continuous monitoring, though as with many newer AI safety startups, it's worth validating claims against your specific use case and doing a proof-of-concept before full commitment.

Why this product is good

  • Offers automated red-teaming to identify vulnerabilities in LLMs before deployment
  • Provides guardrails and content moderation to prevent harmful, biased, or non-compliant outputs
  • Focuses on AI governance and compliance, helping organizations meet regulatory requirements
  • Supports monitoring of AI systems in production for ongoing risk detection
  • Designed to integrate with various LLM providers and enterprise AI stacks
  • Addresses growing enterprise demand for responsible and secure AI deployment

Recommended for

  • Enterprises deploying LLMs or generative AI applications at scale
  • Organizations in regulated industries needing AI compliance and governance tools
  • Security and risk teams responsible for AI red-teaming and vulnerability assessment
  • Companies building customer-facing AI chatbots or assistants requiring content safety
  • Businesses needing to demonstrate responsible AI practices to stakeholders or regulators

Videos

Walkthroughs and reviews on video.

VS Code 2 videos + Add
Enkrypt AI 1 video + Add

My New Favorite Text Editor - Visual Studio Code

More videos

  • - 7 reasons why I switched to Visual Studio Code from Sublime Text

Enkrypt AI

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
VS Code
Enkrypt AI
100% 100%
Text Editors
0% 0%
0% 0%
Cyber Security
100% 100%
100% 100%
IDE
0% 0%
0% 0%
AI
100% 100%

Questions & Answers

As answered by people managing VS Code and Enkrypt AI.

What makes your product unique?

Enkrypt AI's answer:

What makes Enkrypt AI unique? Enkrypt AI stands out due to its comprehensive approach to AI security and compliance for enterprise AI systems, applications, and agents. Its platform combines automated Red Teaming with a growing library of over 300 attack categories, dynamic real-time guardrails, and continuous risk monitoring. This allows Enkrypt AI to detect, remove, and monitor threats more effectively than traditional static testing, ensuring safe and compliant AI deployments at scale. The platform also features automated controls, eliminating manual intervention, and provides detailed insights into risk, compliance, and cost savings.

Why should a person choose your product over its competitors?

Enkrypt AI's answer:

A person should consider Enkrypt AI over competitors because of its best-in-class accuracy, rapid time-to-value, and integrated capabilities that can be used independently or together for optimal security. The platform is powered by a proprietary threat database, supports seamless integration with a wide range of AI technologies (including LLMs, RAGs, chatbots, and agents), and offers real-time vulnerability removal and monitoring. Its automated, enterprise-ready guardrails and dashboard-driven insights make safeguarding AI applications effortless and scalable

How would you describe the primary audience of your product?

Enkrypt AI's answer:

Enkrypt AI’s primary audience consists of enterprise organizations seeking to deploy or manage generative AI technologies securely and in compliance with regulations. This includes businesses in sectors such as finance, healthcare, utilities, and any industry where AI adoption requires robust risk management, data protection, and regulatory compliance. The platform is tailored for risk, compliance, and technology teams responsible for ensuring the safe and effective use of AI across large-scale operations

What's the story behind your product?

Enkrypt AI's answer:

Enkrypt AI was founded to address the growing need for secure and compliant adoption of generative AI models in enterprise environments. The company focuses on leveraging advanced machine learning, deep learning, and natural language processing to deliver cutting-edge security solutions. By investing heavily in research and development, Enkrypt AI aims to stay ahead of emerging threats and provide innovative tools that enable businesses to unlock the full potential of AI without compromising safety or privacy

Which are the primary technologies used for building your product?

Enkrypt AI's answer:

Enkrypt AI utilizes a suite of advanced technologies, including:

Deep learning and neural networks for pattern recognition and predictive analytics

Advanced natural language processing (NLP) for analyzing and understanding unstructured text data

State-of-the-art encryption techniques to ensure data security and privacy

Proprietary databases combining insights from GenAI applications, open-source data, and dedicated ML research

Automated Red Teaming and real-time guardrails for dynamic threat detection and response

Who are some of the biggest customers of your product?

Enkrypt AI's answer:

While specific customer names are not disclosed in the available sources, Enkrypt AI primarily serves large enterprises and organizations with significant AI deployments. Its platform is designed for sectors that require high levels of security and compliance, such as finance, healthcare, and utilities. The company also emphasizes strategic partnerships and collaborations with industry leaders, technology providers, and research institutions to expand its reach and deliver value to clients

User comments

Share your experience with using VS Code and Enkrypt AI. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

VS Code 5.0 · 1 review
Enkrypt AI no reviews yet

View more

We have no reviews of Enkrypt AI yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

VS Code 1219 mentions
Enkrypt AI 0 mentions

View more

Tracking Enkrypt AI since Jun 2025.

Alternatives to VS Code and Enkrypt AI

When comparing VS Code and Enkrypt AI, you can also consider the following products.

  • Sublime Text

    Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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    Sublime Text vs VS Code Sublime Text vs Enkrypt AI
  • G8KEPR

    Unified security for APIs, AI agents, MCP tools, and LLM applications. API Security + MCP Security + AI Gateway + Verification Engine. Starting at $399/mo.

    Compare G8KEPR to VS Code or Enkrypt AI:

    G8KEPR vs VS Code G8KEPR vs Enkrypt AI
  • Vim

    Highly configurable text editor built to enable efficient text editing

    Compare Vim to VS Code or Enkrypt AI:

    Vim vs VS Code Vim vs Enkrypt AI
  • KYDE

    KYDE makes AI agents trustworthy enough to hand them real responsibility. It prevents what an agent must not do, proves what it did, and keeps your knowledge yours. The behavioral firewall for AI agents.

    Compare KYDE to VS Code or Enkrypt AI:

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  • Notepad++

    A free source code editor which supports several programming languages running under the MS Windows environment.

    Compare Notepad++ to VS Code or Enkrypt AI:

    Notepad++ vs VS Code Notepad++ vs Enkrypt AI
  • Gordon Console

    Gordon AI, powered by Mitigata, is a full-stack cyber resilience platform that unifies SOC, VAPT, GRC compliance, dark web and brand monitoring, TPRM, ASM, Financial Impact, and cyber insurance into a single console to deliver end-to-end service.

    Compare Gordon Console to VS Code or Enkrypt AI:

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