​

Source: https://reclaimllm.com/features/privacy-control

Feature

​

AI privacy and

data control. Keep sessions private by default, encrypt raw session details on Paid and Enterprise, review sensitive content, choose where data lives, and export or delete it on your terms. Create your account→ Read the full product story Control layer

​

Ownership only matters if control is real.

◉

​

Private by default

Captured sessions belong to your account first. Nothing is shared, sold, or used for training unless you explicitly choose to do that later. ◇

​

Sensitive content review

RCLM flags credentials, tokens, passwords, connection strings, and other risky content so you can review sessions before sharing, exporting, or using them in team workflows. ⊞

​

Configurable redaction

You can apply redaction rules so sensitive material is handled consistently instead of relying on one-off manual cleanup. ◌

​

Encrypted raw sessions

Paid users and Enterprise organizations can encrypt full session blobs while metadata remains available for search, stats, summaries, and filters. ◈

​

Export and delete

Your history is portable. Export what you want, delete what you want, and avoid lock-in if your needs change. Core controls

​

Built to keep useful data without treating it casually.

AI sessions often contain the exact material people would never deliberately publish: internal code, credentials, infrastructure details, and personal information. The product stance here is simple: capture can be powerful without being reckless, and privacy controls should be part of the default workflow rather than a cleanup step after the fact. When session encryption is enabled, the detailed session blob is encrypted. Derived metadata stays unencrypted so search, stats, summaries, filters, and dashboards can keep working without opening every full transcript. Default visibilityPrivate until you choose otherwise Training usageNever used for model training by default Sensitive detectionFlags credentials, secrets, PII, and other review-worthy content Redaction rulesManual review or configurable automatic handling depending on plan Data residencyRegion selection for qualifying plans and on-prem for enterprise EncryptionRaw session blobs can be encrypted on Paid and Enterprise Recovery keysDownloaded once; never emailed or stored as plaintext Metadata boundarySession metadata remains available for search, stats, summaries, and filters Why it matters

​

Valuable session history becomes risky if control is weak.

​

AI usage creates governance debt quickly

The problem is not only storage. It is that AI sessions often contain code, schemas, credentials, or personal details that should not be treated like disposable chat logs.

​

Sharing needs a review layer

If sessions may eventually be exported, shared internally, or used as team context, privacy controls cannot be an afterthought. They have to sit in the product before distribution.

​

Control is part of ownership

Saying users own their data is incomplete unless they can decide where it lives, how it is protected, and when it leaves the system.

​

Encryption should not break the product

Raw transcripts need stronger storage protection, but metadata still needs to power search, summaries, stats, and governance views without decrypting every full session. Lifecycle

​

Privacy controls across the session lifecycle.

01

​

Capture

Sessions are ingested from the proxy, hooks, or browser extension. 02

​

Flag

Potentially sensitive content is identified so risky sessions stand out for review. 03

​

Control

You decide whether to keep private, encrypt raw session storage, redact, export, delete, or share later. 04

​

Enforce

Enterprise deployments can add org-wide encryption, decrypt-access policy, residency controls, and on-prem boundaries. Outcomes

​

The system can only be as trustworthy as its controls.

Privacy and control are not side features. They are what make durable session storage viable for serious work. That applies equally to individual users protecting their own workflows and to organizations that need clearer rules around what AI tools can retain and expose. For individualsConfidence that saved AI work stays private and raw session details can be encrypted For regulated teamsA foundation for auditability, residency, and tighter policy enforcement For team context reuseA review path before sessions become shared organizational memory For long-term trustThe product can hold valuable sessions without asking users to suspend disbelief

​

Keep control as your AI history grows.

Capture useful work, review sensitive sessions, and decide what stays private, what gets shared, and what gets deleted. Get started free → See search and replay