
Fiddler AI
AI observability and security platform for monitoring, explaining, and governing ML and LLM applications.
Panoramica
Funzionalità chiave
- Model performance and drift monitoring
- LLM hallucination and safety detection
- Prompt injection and jailbreak protection
- Explainable AI and root cause analysis
- Bias and fairness assessments
- Dashboards and alerts for production AI
Casi d’uso
Monitor ML Models in Production
Track model performance, data drift, and quality issues in real time with dashboards and alerts to detect degradation before it impacts business outcomes.
Safeguard LLM Applications
Detect hallucinations, block prompt injection and jailbreak attempts, and filter unsafe outputs to keep generative AI deployments secure and reliable.
Explain Model Decisions and Diagnose Issues
Use explainable AI and root cause analysis to understand predictions, debug unexpected behavior, and build stakeholder trust in model outputs.
Assess Bias and Support AI Governance
Run fairness assessments and maintain audit-ready visibility into ML and LLM systems to meet enterprise compliance and responsible AI requirements.
Pro & contro
Pro
- Unified observability for traditional ML and LLMs
- Built-in explainability and bias detection
- Guardrails for generative AI safety and security
- Supports enterprise governance and compliance needs
Contro
- Geared toward enterprises, less suited to small teams
- Requires setup and integration effort
- Pricing not transparent on the website
Recensioni
Media su 6 valutazioni.
Accedi per lasciare una recensione.
Mei-Ling Wong
Does the job
Pretty happy overall. Dashboards and alerts for production AI just works and guardrails for generative AI safety and security. Requires setup and integration effort can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Priya Nair
Compared a few options
Evaluated this against two competitors. Where it wins: prompt injection and jailbreak protection and built-in explainability and bias detection. Where it lags: requires setup and integration effort. On balance the feature set — especially model performance and drift monitoring — justifies the 5 stars for our use case.
Diego Fernández
Years in this space
I've evaluated a lot of these over the years. What stands out here is explainable AI and root cause analysis — handled better than most — and guardrails for generative AI safety and security. Requires setup and integration effort is my one real gripe. Worth the time if this is your use case.
Rina Desai
Solid for our team
We rolled this out across the team last quarter and unified observability for traditional ML and LLMs. Prompt injection and jailbreak protection fits neatly into how we already work, and bias and fairness assessments removed a step we used to do by hand. Pricing not transparent on the website, which is the main caveat, but it has held up under daily use.
Joanna Kowalski
Does the job
Pretty happy overall. Prompt injection and jailbreak protection just works and supports enterprise governance and compliance needs. Requires setup and integration effort can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Esther Adeyemi
Years in this space
I've evaluated a lot of these over the years. What stands out here is prompt injection and jailbreak protection — handled better than most — and supports enterprise governance and compliance needs. Worth the time if this is your use case.
Q&A
Ancora nessuna domanda — sii il primo a chiedere.
Fai una domanda
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