Generative AI Guardrails
Lumenova AI equips organizations with the guardrails needed to safely and responsibly deploy generative AI tools at scale. Our platform helps teams assess GenAI risks, implement policy-driven controls, and monitor outputs for compliance with ethical and regulatory standards. By enabling secure, aligned use of generative AI, organizations can unlock productivity gains while minimizing reputational and regulatory risk.
Key capabilities include:
- GenAI-specific risk assessments and policy enforcement
- Output monitoring for bias, toxicity, and compliance violations
- Centralized governance for GenAI tools across business units
Confidently Deploy Powerful GenAI Tools
Applications like large language models (LLMs), code generation tools, and image generators can be powerful productivity- and capability-enhancers, but they can also introduce massive AI risks if not governed properly. From accidental disclosure of sensitive data to reputational harm due to hallucinated or toxic content, there is a wide array of damaging situations to avoid.
Generative AI guardrails serve as the first line of defense in maintaining ethical, secure, and compliant AI usage across business operations.
Build Trust & Prevent Hallucinations
Leadership teams and the general public often have a certain level of hesitation and nervousness around deploying Generative AI. Many have heard horror stories of Generative AI hallucinations and data leaks, and fear these crises could happen to them. Lumenova AI allows your team to implement mechanisms to identify and flag potentially inaccurate or fabricated content, reinforcing trust in generative outputs.
Core Features
Sensitive Information Filters
Automatically detect and block personally identifiable information and other sensitive data from being used in prompts or outputs.
Content Filters
Enforce acceptable use policies and content guidelines with real-time filtering across outputs.
Prompt Injection Attack Filters
Detect adversarial inputs designed to circumvent safeguards and neutralize them in real-time, keeping your AI systems secure from manipulation.
Word Filters
Define specific words, terms, or categories to restrict, ensuring alignment with legal, regulatory, and brand standards.
Generative AI Blogs
February 17, 2026
From Prompt to Policy: How LLM Guardrails Work in Practice
Transform prompts into policy with LLM guardrails. Discover strategies for input constraints, output moderation, and enterprise compliance.
February 3, 2026
What Effective Generative AI Governance Looks Like in 2026
Generative AI governance has shifted from compliance to competitive advantage. Discover the components of effective governance in 2026.
January 15, 2026
Monitoring, Metrics, and Drift: Ongoing Generative AI Risk Management Post-Deployment
Ensure safety with continuous Generative AI risk management. Discover key metrics, monitoring strategies, and the Lumenova AI solution.