Know What Happens in Your AI Interactions.

Unseen Personal Data Leaks

Names, IBANs, credit cards, and other personal data can flow into AI tools without anyone noticing, until a regulator asks.

Prompt Manipulation

Adversarial prompts and jailbreak attempts try to override your safety rules. Without analysis, they succeed silently.

Policy Violations

Even well-meaning employees can phrase requests in ways that violate your AI policies. You only learn about it when something breaks.

Sensitive Data Detection

Recognizes names, addresses, IBANs, credit-card numbers, social-security numbers, and other personal data, and can mask them (anonymize or redact) or block the request before it reaches the AI model.

Prompt-Injection Protection

Identifies attempts to override system instructions or trick the AI into bypassing your safety policies.

Toxicity, observed only

On request we switch on toxicity scoring for your project. It is recorded with the trace and never blocks.

Policy Evaluation

Every prompt that reaches Palveron is evaluated against your active policies. Depending on the policy's action, a violation is blocked, anonymized, flagged or sent for approval.

Purpose-Bound Data Profiles

Define per-purpose data profiles so the same employee can share IBANs with the finance assistant but not with marketing, automatically.

Configurable Sensitivity

Maximum caution. Borderline cases are flagged. Best for regulated industries and high-risk workflows.

Recommended default. Catches clear violations while minimizing noise for everyday work.

Lower noise. Only obvious violations are flagged. Best for low-risk teams and experimental work.