AI Guardrails – Critical to Maximizing AI at Scale
Discover, classify, manage learning and audit your AI with a single solution that speeds up responsible, transparent and explainable AI.
AI Governance Is No Longer Optional
Value and scale are frequently used to evaluate AI implementations, but how about risk? What regulations do you need to comply with?
Training data is core to every AI tool on the market – ensure it meets your company’s standards.
Balance Value with Risk: Implementing AI without a formal governance framework that includes a guardrails plan is no longer just a strategic risk; it is a liability that can erase the value you aim to create.
Establish Data Integrity as the Compliance Baseline: A responsible AI Guardrail program moves you beyond simple compliance. It ensures all data meets training standards and keeps you audit-ready in an increasingly complex regulatory landscape.
Turn “No” into “Know”: Legal, compliance and privacy are not barriers to adoption; they are necessary safeguards for your company’s reputation. Elevate confidence with repeatable processes and transparent reporting, making them vital partners in your AI strategy.
AI Guardrails Guide, Protect and Build Trust
Spirion’s unified sensitive data discovery, reduce AI risk, and set guardrails to accelerate AI workloads
- Automate your discovery, consolidate across data silos to provide your AI projects the maximum training platform.
- Promote responsible AI by removing sensitive content prior to training.
- Audit currently deployed AI tools by evaluating training data for sensitivity and inappropriate (toxic) content.
Guide
Visibility Across the AI Supply Chain
Spirion can not only evaluate your training repositories, but also endpoints, on-premises data, cloud data, all supported by 92 external connectors, 44 extensions and direct third-party integrations.
Audit Ready AI Pipelines
Create versioned logs on the results of in-depth training scans for audit review be it part of a scheduled regulatory audit, or as a tool to evaluate what could be contributing to AI output anomalies.
AI Training Data Security (AITDS)
Ensure that training data is free from sensitive, regulated, biased, toxic or malicious content before it is consumed by machine learning pipelines, thereby reducing legal, security, and reputational risk.
Protect
Automated Remediation
When unwanted data is found within training data, allow automated removal or quarantine (for further evaluation) from the repository, deletion from the repository, or flagging content within the repository to be ignored by your training pipeline.
Broad Pattern Recognition
Keep toxic or harmful language, sensitive or regulated data, confidential or intellectual property information, company legal data, security-sensitive content, or contextually irrelevant data out of your training data.
Protect Intellectual Property
Prevent models from learning proprietary information, business plans, or company financial data.
Trust
Accelerate AI Safely
Provide confidence to your compliance, privacy, and legal teams that training data oversight is grounded in company and regulatory policy, allowing faster approvals vs. stalling in committees.
Boost AI Model Integrity
Foundational to a trustworthy AI, a guardrails program can help you remove the bad/and or risky data before pre-training begins.
Power Bad-Result Incident Response
Triage bad results with customized scanning of training environments to find edge case content and ensure it does not get included in future versions.
Our platform seamlessly integrates with your ecosystem to unify your AI training data wherever it lives
200+ Data Connectors
Big Data, Cloud Storage, Collaboration Platforms and More
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44 Extensions and Integrations
Specialty scanning packages and third party integrations
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179 File Formats Supported
Inspect beyond just Microsoft File Formats
A full list of formats can be found here:
View all supported formats
Let’s Start a Conversation
Discover how Spirion’s unified sensitive data discovery, reduce AI risk, and set guardrails to
accelerate AI workloads.
