Use Case:

Securing Gen AI - Continuously Upholding Trust, Safety, and Mitigating Risk.

Highlights

• Comprehensive Risk Detection & Guardrails: AIMon continuously monitors model inputs and outputs in real-time to detect unsafe content, adversarial prompts, and regulatory violations, in addition to quality issues like Hallucination and Deviation. Risky outputs are automatically flagged, blocked, or escalated, enabling you to ensure that they never reach end users.
• Policy-Aware Customization: Organizations can define and enforce custom safety and compliance rules that reflect their specific industry regulations, access controls, internal policies, and brand tone to help ensure outputs stay aligned with business expectations.
• Adversarial Threat Monitoring: Our platform detects and mitigates adversarial threats such as code injections, prompt attacks, and training data exposure. This protects the integrity, privacy, and security of your GenAI applications.
• Auditability & Human Escalation: AIMon maintains complete, auditable logs of every request and response. For high-risk or ambiguous cases, the system routes outputs to human reviewers, combining automation with expert oversight when needed most.
• Secure Internal and Vendor Gen AI apps: AIMon can be easily integrated into multiple organization-wide AI applications, whether they are built internally or externally. You get a single pane of glass that shows you the various critical metrics that your teams care about.

Overview

As enterprises scale their use of generative AI, trust and safety move to the forefront of production readiness. AIMon delivers continuous monitoring for risks, ensuring that your Agentic, LLM, and RAG systems operate responsibly, safely, and in full alignment with business and legal standards.

Our platform actively evaluates every output for signs of danger: from toxic or biased language, to personally harmful content, to off-brand responses and regulatory violations such as exposures of PII, PCI, or PHI. With built-in detectors for unsafe stereotypes, systemic bias, and social risk (CBRN) content, we help reduce the risk surface and protect both your users and your organization.

AIMon also guards against adversarial attacks, such as Prompt Injection, Code or SQL Injections, and Training Data Exposure.

These techniques can compromise system behavior, leak sensitive data, or subvert model outputs. Our adversarial metrics engine continuously scans for these threats, enabling automatic blocking or escalation workflows.

All of this is in addition to blazing-fast detections of hallucinations, instruction deviation, irrelevant answers, and unachieved business goals. Outputs are evaluated not just for factual correctness, but also for alignment with regulatory policies, internal security protocols, and user safety expectations.

Customizable Risk Policies

Every organization is different, which is why AIMon allows full customization of monitoring policies. Whether you need stricter rules for a healthcare deployment or want to enforce brand-specific tone filters, our system gives you granular control over how safety is defined and enforced.

Safe-by-Design AI Deployment

With real-time blocking and full traceability of all requests, AIMon helps reduce legal liabilities and meet audit and compliance requirements. This foundation empowers your teams to deploy faster with confidence in the trust, safety, and integrity of your GenAI systems.