AI traffic risks

The risks security teams can't see today.

Sensitive data leaks

Customer records, contracts, and personal data sent to providers.

API keys & credentials

Secrets pasted into coding assistants and copilots.

Prompt injection

Hidden instructions that hijack AI behavior.

Unsafe outputs

Model responses that leak data or violate policy.

Shadow AI usage

Apps and teams using AI with no oversight.

No audit evidence

No record of what was sent, by whom, or when.

Valar controls

Start in observe. Enforce when ready.

Turn on enforcement one confident policy at a time. Nothing breaks on day one.

01

OBSERVE

Log and flag risky AI usage. Zero interruption.

02

ALERT

Notify security when sensitive data appears.

03

REDACT

Replace sensitive values before forwarding.

04

BLOCK

Stop high-confidence criticals entirely.

05

APPROVAL

Hold sensitive actions for a human.

maturityfull enforcement
Safe audit logging

Keep the evidence.
Skip the data lake.

Valar keeps the evidence security teams need — hashes, finding types, risk scores, and redacted snippets — while minimizing what it stores.

request_hashsha256:9f4a…3c12
response_hashsha256:bbe7…9c41
risk_score97 / 100
findingDatabase credentials, CNIC
actionBLOCKED
redacted"...DB=[REDACTED]..."
raw_prompt<not stored>
raw_response<not stored>

Get the evidence. Skip the data lake.

Start a 7-day pilot, or request a security brief for your team.

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