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    FireTail AI Security Platform

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    Deployed on AWS
    FireTail is an end-to-end AI security platform providing the visibility, insight, and controls to help organizations enable secure AI adoption, foster innovation, and manage AI-related risks.

    Overview

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    FireTail is an end-to-end AI security platform providing the visibility, insight, and controls to help organizations enable secure AI adoption, foster innovation, and manage AI-related risks. FireTail is designed to help security and engineering teams build a program of informed AI governance, supporting business objectives.

    AI is becoming pervasive in many organizations, often as "Shadow AI" outside of formal oversight, which can introduce security risks. FireTail provides a comprehensive platform to discover, assess, and govern AI use across your enterprise.

    Core Capabilities

    Continuous AI Discovery - FireTail establishes a comprehensive, continuously updated inventory of discovered AI usage. It finds AI in your code, cloud infrastructure, and your workforce's SaaS and browser-based tools. We provide granular visibility into supported AI providers, models, versions, system prompts, and data points, creating the foundational visibility to help you manage your AI landscape.

    Centralized AI Logs with Detection & Response - Our platform addresses the complexity of diverse AI ecosystems by centralizing and normalizing logs from many different models and providers. This enables you to create unified detections for critical risks, such as PII or credentials in prompts. Combined with anomaly detection to flag unusual behavior, you can trigger automated, workflow-integrated responses like real-time alerts or support tickets in systems like Jira to help ensure threats are addressed quickly.

    AI Security Testing - FireTail integrates security testing into your AI lifecycle to proactively identify and assess risks associated with different models, content types, and use cases. This provides your organization with data-driven insights to help make informed decisions on acceptable risk, allowing you to build a security strategy that supports your business objectives.

    AI Security Posture Management - Gain a unified, real-time view of your AI security posture. By correlating deep discovery of AI services and configurations with continuous security testing and threat detection, FireTail provides a comprehensive understanding of your AI attack surface. This allows you to quickly identify vulnerabilities, prioritize risks, and track your security improvements over time, helping you maintain a more secure and compliant AI ecosystem.

    AI Governance & Policy Engine - Implement and enforce consistent AI governance with a flexible policy engine. Get started quickly with a pre-built library of policies based on security frameworks like the OWASP LLM Top 10 and CSA AI Controls Matrix. As your needs evolve, use the intuitive builder to create granular, custom rules, such as blocking specific models or supporting data sovereignty requirements for GDPR.

    FireTail offers a comprehensive AI Security Posture Management (ASPM) solution, combining governance, risk, and compliance (GRC) strengths with integrated security testing to give you a broad picture of your AI ecosystem.

    Highlights

    • AI Policy & Governance: FireTail ships with a comprehensive library built around leading frameworks like the OWASP LLM Top 10 and MITRE Atlas. You can also build your own custom policies with just a few clicks. Whether you need to block a specific model like DeepSeek, or improve GDPR compliance by preventing EU data from being processed by unapproved providers outside of Europe, our platform provides instant visibility and control.
    • Bedrock Logging with Detection & Response - Centralize and normalize logs from your different models and providers including Amazon Bedrock. This enables you to create a single, unified detection for critical risks, such as PII or credentials in prompts, and apply it universally. Combined with anomaly detection to flag unusual behavior, you can trigger automated, workflow-integrated responses like real-time alerts.
    • Automated AI Red Teaming with Bedrock Invoke Functions - FireTail automatically integrates security testing into your AI lifecycle to proactively identify and assess risks associated with different models, content types, and use cases. This empowers your organization with the data-driven insights needed to make informed decisions on acceptable risk, allowing you to build a security strategy that fosters innovation rather than blocking it.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    FireTail AI Security Platform

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    12 Month Contract - Business
    Inventory up to 50 unique AI models, Track up to 250 AI system prompts and Record up to 10M AI logs per month
    $50,000.00

    Vendor refund policy

    FireTail Terms of Serivice - https://www.firetail.ai/terms 

    Custom pricing options

    Request a private offer to receive a custom quote.

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