> For the complete documentation index, see [llms.txt](https://docs.probe.splx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.probe.splx.ai/updates/product-updates/january-2025.md).

# January 2025

## Log Analysis

We’ve added a Log Analysis feature that lets you upload historical conversation logs from your AI application and run our detectors on them retroactively. The feature searches for the same vulnerabilities as our probes (context leakage, jailbreaks, and others) while scanning existing conversations instead of actively provoking attacks.

Upload your logs, choose the detectors you need, and Log Analysis returns key metrics: messages, exploit attempts, and vulnerabilities detected, and plots them so you can easily spot spikes.\
Granular filters and one-click drill-downs let you quickly inspect every user’s interaction with your application.

## Keycloak Authentication

We’ve migrated our authentication system to Keycloak. This upgrade brings built-in multi-factor authentication and stronger OAuth2/OIDC security. It also enables us to add quick sign-in with Google, Microsoft, and other identity providers in the future, reducing login friction across our platform.

## Multi-Factor Authentication (MFA)

We’ve added Multi-Factor Authentication (MFA) to the platform, bringing an extra layer of account security at sign-in.\
Organization owners can make MFA mandatory for every user in their SplxAI Platform organization, and when it isn’t required, individual users can still enable MFA for their own accounts.

## Improvements & Tweaks

In Target Settings, you can now mark any HTTP header as Sensitive, hiding its value from view and preventing it from being logged or shared.


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