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MrProbe by Sniffr.ai Review

MrProbe by Sniffr.ai is an enterprise AI agent assurance platform for red teaming and functional evaluation, proving security and quality with evidence.

shipped Aug 21, 2026codefreemium
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MrProbe by Sniffr.ai — product screenshot

Why it matters

1Offers a freemium model with a free assessment tier.
2Utilizes over 648 adversarial techniques across 17 categories for security testing.
3Provides a 20-dimension quality scorecard for functional evaluation.
4Maps findings to over 30 compliance frameworks, including OWASP LLM Top 10 and EU AI Act.

About MrProbe by Sniffr.ai

Business Model
Subscription SaaS
Usage Pricing
Free per assessment
Free Credits
One free assessment
Headquarters
Chennai, India
Platforms
Web
Target Audience
Security, QA, and compliance teams looking to assess AI agents.

Pricing Plans

Free Assessment
Free
  • • 25 attack assessment
  • • No signup required

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is MrProbe by Sniffr.ai?

MrProbe by Sniffr.ai is an enterprise AI agent assurance platform tool developed by Sniffr that enables AppSec teams, Compliance teams, AI Quality teams, Security teams, Auditors, Procurement teams, and QA teams to probe AI agents from an attacker's perspective, scoring their responses using a 20-dimension quality scorecard. It provides a comprehensive assessment, identifying vulnerabilities and compliance with multiple frameworks by running extensive adversarial tests.

features

Key Features of MrProbe by Sniffr.ai

MrProbe by Sniffr.ai provides a comprehensive suite of features for evaluating AI agents, focusing on both security and quality. The platform offers advanced adversarial testing capabilities and a detailed quality assessment framework.

  • Adversarial red-teaming with over 648 techniques across 17 categories.
  • 20-dimension quality scorecard for functional evaluation (e.g., coherence, groundedness, hallucination, PII handling).
  • Detailed compliance mapping to over 30 frameworks (e.g., OWASP LLM Top 10, NIST AI RMF, EU AI Act).
  • Real-time assessment and regression-ready runs with delta tracking.
  • API available for integration into existing workflows.
  • No SDK needed for deployment.
  • Support for 16 jurisdictions for country-gated PII handling.
  • Evidence-based verdicts (proven, suspected, defended) for attack validation.

use cases

Who Should Use MrProbe by Sniffr.ai?

MrProbe by Sniffr.ai is designed for various organizational roles responsible for the security, quality, and compliance of AI agents. Its capabilities address critical needs in the AI development and deployment lifecycle.

  • AppSec teams and Security teams for adversarial red-teaming of AI agents and vulnerability identification (e.g., prompt injection, data exfiltration).
  • AI Quality teams and QA teams for functional quality evaluation of AI agents, assessing aspects like hallucination, groundedness, and consistency.
  • Compliance teams, Auditors, and Procurement teams for compliance and regulatory mapping for AI agents against frameworks like HIPAA, PCI DSS v4.0, and GDPR.
  • Development teams for continuous security testing and regression monitoring in CI/CD pipelines (GitHub Actions, GitLab, Bitbucket, Azure DevOps).
  • Organizations requiring pre-production security checks and quality assessments on AI agents.

how to use

How to Use MrProbe by Sniffr.ai

MrProbe by Sniffr.ai allows users to initiate assessments of their AI agents from an attacker's perspective. The platform provides a structured workflow for testing and reporting.

  • 1Access the MrProbe platform via its web interface or API.
  • 2Configure the AI agent to be tested, providing necessary access or endpoints.
  • 3Select the desired adversarial tests and quality scorecard dimensions for the assessment.
  • 4Run the extensive adversarial tests to probe the AI agent's responses.
  • 5Review the comprehensive assessment report, which details identified vulnerabilities and compliance adherence.
  • 6Integrate the platform into CI/CD pipelines for automated, continuous security and quality monitoring.

pricing

MrProbe by Sniffr.ai Pricing & Plans

MrProbe by Sniffr.ai operates on a freemium model, offering a free assessment tier to allow users to evaluate its capabilities. Specific details for paid tiers are not publicly disclosed but the business model is subscription-SaaS.

  • Free Assessment: Free (includes one free assessment)

Pros

  • +Combines adversarial red-teaming (648+ techniques) and 20-dimension functional quality scoring in one platform.
  • +Maps findings to over 30 compliance frameworks, including OWASP LLM Top 10, NIST AI RMF, and EU AI Act.
  • +Integrates into CI/CD pipelines (GitHub Actions, GitLab, Bitbucket, Azure DevOps) for continuous security testing.
  • +Provides evidence-based verdicts for successful attacks, reducing false positives.
  • +Offers a free assessment tier, allowing users to evaluate the platform's capabilities.
  • +Supports country-gated PII handling for 16 jurisdictions.

Cons

  • −Specific pricing details for paid tiers are not publicly available, making budget planning difficult without direct inquiry.
  • −While comprehensive, the extensive number of features and compliance frameworks might present a learning curve for new users.
  • −Focuses primarily on AI agent assurance, which might not cover broader AI system security aspects beyond agent interactions.
  • −Relies on a 'golden-dataset workflow' for quality assurance, which requires initial setup and data preparation.

Similar Tools

MrProbe by Sniffr.ai vs Competitors

MrProbe by Sniffr.ai distinguishes itself in the AI agent assurance market by integrating both adversarial red-teaming and functional quality scoring into a single platform. This combined approach is a key differentiator against competitors that often specialize in one area.

1
Garak↗

Garak is an open-source tool designed for security testing of large language models (LLMs) against various vulnerabilities and risks.

While Garak provides a robust framework for identifying LLM vulnerabilities through a wide range of probes, it requires more technical expertise to set up and run compared to MrProbe's potentially more guided, scorecard-based assessment. It's a command-line tool, so it lacks a graphical interface.

2
LLM-Attacks↗

LLM-Attacks is a collection of open-source tools and techniques for generating adversarial attacks against large language models.

LLM-Attacks focuses specifically on generating adversarial prompts and jailbreaks, offering a deep dive into attack methodologies. It's more of a research toolkit than a comprehensive assessment platform like MrProbe, which provides a structured scorecard and compliance checks.

3
Adversarial Robustness Toolbox (ART)↗

ART is a Python library that provides tools for developers and researchers to defend machine learning models against adversarial attacks.

ART is a broad library for adversarial machine learning across various model types, including LLMs, offering a wide array of attack and defense methods. However, it requires significant programming knowledge to implement and customize, unlike MrProbe's more focused and potentially user-friendly AI agent probing interface.

4
Prompt SecurityOn Stork

Prompt Security offers a platform to test and secure LLM applications against prompt injection, data leakage, and other vulnerabilities.

Prompt Security provides a more integrated platform for securing LLM applications, potentially offering more features around ongoing monitoring and defense. MrProbe focuses more on the initial adversarial testing and scoring from an attacker's perspective, which might be a more direct comparison for vulnerability identification.

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