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CONTENT SAFETY
Your AI just sent a customer’s SSN to OpenAI.

It was an accident. An engineer pasted some test data. The AI helpfully included it in the response. Now it’s in a third-party’s logs.

This isn’t hypothetical. It’s happening right now in organizations without content controls.

Zentinelle scans every prompt and response. Detects PII before it leaves your perimeter. Catches toxicity before it reaches users. Blocks prompt injection before it compromises your agents.

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What gets scanned:
Real-time detection across all AI interactions.
See It In Action
PII Detection
Credit cards, SSNs, emails, phone numbers, names, addresses
Toxicity Scoring
Hate speech, harassment, profanity, threatening language
Prompt Injection
Attempts to override system prompts or escape constraints
Data Exfiltration
Patterns that suggest intentional data extraction
Custom Patterns
Your own regex rules for proprietary data formats
How It Works
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Real-Time Scanning

Every prompt and response passes through Zentinelle’s content scanner. Detection happens in milliseconds — no noticeable latency for users.

Scan on input, output, or both. Configure thresholds. Define what triggers action.

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Configurable Enforcement

Block — Stop the interaction. User sees an error. Warn — Allow but flag for review. User may not notice. Log — Record for audit. No user impact.

Different policies for different contexts. Stricter for production, looser for development.

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Incident Response

When violations occur, Zentinelle creates an incident. Who, what, when, severity.

Route to your existing ticketing system. Trigger Slack alerts. Feed your SIEM.

Data leaks are preventable. If you're scanning.

Zentinelle gives you the content safety layer your AI systems need — before an incident makes headlines.

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