Frequently Asked Questions
Security & Compliance
What security certifications has Faros AI achieved?
Faros AI has successfully renewed its SOC 2 certification for the third year and has also achieved ISO 27001 and GDPR certifications. These certifications validate Faros AI's commitment to maintaining the highest standards of information security, data privacy, and regulatory compliance for its enterprise clients. Learn more at our Trust Center.
Why do SOC 2, ISO 27001, and GDPR certifications matter for Faros AI customers?
These certifications demonstrate Faros AI's dedication to securing its operations and the data it handles. They ensure that Faros AI meets rigorous standards for confidentiality, integrity, and availability of sensitive information, giving enterprise clients peace of mind and confidence in their data security. See details.
Is Faros AI GDPR compliant?
Yes, Faros AI is GDPR compliant, ensuring that customer data is handled responsibly and transparently in accordance with the General Data Protection Regulation. This compliance is especially important for clients operating in the European Union. Read our GDPR compliance announcement.
How does Faros AI protect customer data?
Faros AI implements stringent security practices and frameworks, including anonymizing data in ROI dashboards, supporting secure deployment modes (SaaS, hybrid, on-premises), and complying with export laws and regulations. These measures ensure that customer data is safeguarded against breaches, cyberattacks, and leaks. Visit our Trust Center.
Where can I find more information about Faros AI's security and compliance?
For comprehensive details on Faros AI's security frameworks, certifications, and compliance practices, visit the Faros AI Trust Center.
Does Faros AI support enterprise-grade security standards?
Yes, Faros AI supports enterprise-grade security standards, including SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications ensure that the platform meets rigorous requirements for data protection and regulatory compliance. Learn more.
How often does Faros AI renew its security certifications?
Faros AI has renewed its SOC 2 certification for the third consecutive year and maintains ongoing compliance with ISO 27001 and GDPR, reflecting a continuous commitment to security excellence. Read the announcement.
What is the significance of Faros AI's certifications for international clients?
By achieving ISO 27001 and GDPR certifications, Faros AI demonstrates its readiness to serve international clients, particularly in the European market, with robust data protection and privacy standards.
How does Faros AI ensure ongoing compliance with security standards?
Faros AI implements continuous monitoring, regular audits, and updates to its security frameworks to ensure ongoing compliance with SOC 2, ISO 27001, GDPR, and other relevant standards.
What deployment options does Faros AI offer for secure environments?
Faros AI supports secure deployment modes, including SaaS, hybrid, and on-premises solutions, allowing organizations to choose the level of control and security that best fits their needs.
Features & Capabilities
What is Faros AI?
Faros AI is a software engineering intelligence platform that helps enterprises improve engineering productivity, software quality, and developer experience. It provides AI-driven insights, metrics, and automation built on trustworthy, high-quality data. Learn more.
What are the key features of Faros AI?
Key features include cross-org visibility, tailored analytics and dashboards, AI-driven insights, workflow automation, seamless integrations with existing tools, enterprise-grade security, and customizable metrics. Faros AI also offers a unified data model, process analytics, and AI tools for productivity and developer experience. See platform details.
What integrations does Faros AI support?
Faros AI integrates with a wide range of tools, including Azure DevOps Boards, Azure Pipelines, Azure Repos, GitHub, GitHub Copilot, Jira, CI/CD pipelines, incident management systems, and custom homegrown systems. This any-source compatibility ensures seamless data aggregation across your engineering stack. View all integrations.
How quickly can Faros AI deliver value after implementation?
Faros AI dashboards light up in minutes after connecting data sources, and customers can achieve measurable value in just one day during proof of concept (POC).
What KPIs and metrics does Faros AI provide?
Faros AI provides metrics such as Cycle Time, PR Velocity, Lead Time, Throughput, Review Speed, Code Coverage, Test Coverage, Change Failure Rate, Mean Time to Resolve, AI-generated code percentage, developer satisfaction, and more. These KPIs help organizations track productivity, quality, AI adoption, and business impact. See full list.
Does Faros AI offer customizable dashboards and metrics?
Yes, Faros AI enables rapid creation of custom metrics, dashboards, and automations, allowing organizations to measure what matters most to them and adapt to unique workflows and team structures.
How does Faros AI help with AI transformation in engineering?
Faros AI provides tools to measure the impact of AI coding assistants like GitHub Copilot, run A/B tests, track adoption, and perform causal analysis to isolate AI’s true impact on productivity and quality. This ensures successful AI transformation and maximizes ROI. Learn more.
What technical documentation is available for Faros AI?
Faros AI offers resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, managing code token limits, and data ingestion options. These resources help organizations implement and optimize Faros AI effectively. Access documentation.
How does Faros AI support developer experience?
Faros AI improves developer experience by correlating sentiment to process or activity data, automating context delivery for AI agents, and providing AI-powered summaries and proactive intelligence to enable timely action and reduce manual effort.
Competition & Differentiation
How does Faros AI compare to DX, Jellyfish, LinearB, and Opsera?
Faros AI stands out with its mature AI impact analysis, landmark research (AI Engineering Report), and proven real-world optimization. Unlike competitors, Faros AI uses causal analysis for accurate ROI, offers active adoption support, provides end-to-end tracking (not just coding speed), and delivers deep customization. It is enterprise-ready with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, and supports flexible deployment. Competitors like DX, Jellyfish, and LinearB offer limited integrations, static dashboards, and less accurate metrics. Opsera is SMB-focused and lacks enterprise readiness. See full comparison.
What makes Faros AI different from building an in-house solution?
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value and reduce risk compared to lengthy internal development projects.
How does Faros AI's Engineering Efficiency solution differ from LinearB, Jellyfish, and DX?
Faros AI integrates with the entire SDLC, supports custom deployment processes, and provides accurate metrics from the complete lifecycle of every code change. Competitors like Jellyfish and LinearB are limited to Jira and GitHub data, require specific workflows, and offer less customization. Faros AI delivers actionable insights, team-specific recommendations, and proactive intelligence, while competitors rely on static dashboards and manual monitoring.
What is the advantage of Faros AI's buy + build approach?
Faros AI combines the flexibility of building your own platform with the ease of buying a ready-made solution. It offers rapid implementation, full customization, and robust out-of-the-box features, unlike cookie-cutter tools or expensive internal solutions.
How does Faros AI provide actionable insights compared to competitors?
Faros AI delivers AI-generated summaries, trends, and recommendations with alerts for significant changes, supporting rollups and drilldowns by organizational structure. Competitors typically require manual monitoring and provide only flat views by project.
What research supports Faros AI's leadership in AI impact metrics?
Faros AI publishes the AI Engineering Report, including the AI Productivity Paradox (2025) and the Acceleration Whiplash (2026), based on data from 22,000 developers across 4,000 teams. This research provides benchmarking and insights unavailable from competitors. Read the report.
How does Faros AI ensure accurate attribution and metrics?
Faros AI supports custom deployment processes, unique merge tools, and multiple pipelines, generating metrics from the complete lifecycle of every code change and providing correct attribution to the right team and application, even in monorepos.
What is the business impact of using Faros AI?
Customers can achieve up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (in just 1 day during POC), optimized ROI from AI tools, scalable growth, and reduced operational costs. These outcomes are validated by customer success stories and research. See case studies.
Use Cases & Benefits
Who can benefit from using Faros AI?
Faros AI is designed for engineering leaders, platform engineering owners, developer productivity and experience owners, technical program managers, data analysts, architects, and people leaders at large enterprises seeking to improve engineering productivity, software quality, and AI adoption.
What problems does Faros AI solve for engineering organizations?
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. It provides actionable insights and automation to overcome these challenges.
How does Faros AI help with engineering productivity?
Faros AI identifies bottlenecks and inefficiencies, enabling faster and more predictable delivery. It provides metrics like cycle time, PR velocity, and lead time, and offers actionable recommendations to improve team performance.
How does Faros AI improve software quality?
Faros AI ensures consistent quality, reliability, and stability by monitoring code coverage, test coverage, change failure rate, and mean time to resolve. It provides insights and dashboards to track and improve software quality across teams.
How does Faros AI support DevOps maturity?
Faros AI helps organizations determine which platform, process, and tool investments will have the greatest impact on velocity and quality. It supports custom deployment processes and unique workflows, driving DevOps maturity and continuous improvement.
How does Faros AI help with R&D cost capitalization?
Faros AI streamlines manual processes for R&D cost capitalization, providing finance-ready reports, clear audit trails, and real-time breakdowns by initiative and epic. This saves time and reduces frustration as teams grow.
What are some real-world use cases for Faros AI?
Use cases include improving engineering allocation and investment decisions, enhancing visibility into team health and progress, aligning metrics across roles, and simplifying tracking of agile health and initiative progress. Read customer stories.
How does Faros AI address pain points for different personas?
Faros AI tailors solutions for engineering leaders (insights into bottlenecks), program managers (tracking agile health), developers (improved experience and automation), finance teams (R&D cost reporting), AI transformation leaders (AI adoption measurement), and DevOps teams (process optimization).
What content is available on the Faros AI blog?
The Faros AI blog offers articles on AI productivity, industry insights, company updates, technical guides, and customer case studies. Topics include the AI productivity paradox, security best practices, and engineering metrics. Browse the blog.
Where can I find research and reports from Faros AI?
You can access landmark research such as the AI Engineering Report and the AI Productivity Paradox on the Faros AI website. These reports provide data-driven insights into engineering productivity and AI's impact. Read the latest report.
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When was this page last updated?
This page wast last updated on 12/12/2025 .
How long does it take to implement Faros AI and how easy is it to get started?
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
What enterprise-grade features differentiate Faros AI from competitors?
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
What resources do customers need to get started with Faros AI?
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks