Stop Sensitive Data Leaks
in AI Workflows
Data Loss Prevention for the AI era. Detect credentials, API keys, PHI, private keys, and sensitive business data before they reach ChatGPT, Copilot, or any external LLM — before it becomes a breach.
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What Sekurely DLP catches
Credentials, secrets, PHI, and sensitive data — all in one scan.
AWS Access Keys
AKIA... format AWS access keys — immediate credential rotation required if detected. Critical SOC2 CC6.1 violation.
Private Keys & Certificates
RSA, EC, and DSA private keys in PEM format. Exposure leads to complete system compromise.
Passwords & Secrets
Plaintext passwords, database credentials, and secret values in config files, logs, and AI prompts.
API Keys & Tokens
Bearer tokens, JWT tokens, and generic API keys from third-party services sent to AI systems.
Protected Health Information
SSNs, medical diagnoses, and patient identifiers — HIPAA violations if transmitted without a BAA.
Personal Data
Email addresses, phone numbers, and other PII subject to GDPR data minimisation requirements.
IP Addresses
Internal IP addresses and infrastructure details that should not be exposed in AI system prompts.
Configuration Data
Database connection strings, environment variables, and infrastructure secrets in plaintext.
How DLP monitoring works
Scan before sending
Paste any text — code, logs, prompts, documents — before it goes to an AI system. Catch secrets and credentials before they leak.
Multi-layer detection
Pattern matching for structured secrets (AWS keys, private keys) combined with contextual analysis for passwords and credentials in natural language.
Remediate immediately
Get severity-rated findings with specific remediation guidance. Rotate exposed credentials, redact PHI, and document findings for your audit trail.
Frequently asked questions
What is AI Data Loss Prevention (DLP)?+
AI DLP is the practice of monitoring and controlling what data enters and exits AI systems like ChatGPT, Claude, and Copilot. Traditional DLP tools were built for email and file transfers — AI DLP extends this to cover LLM prompts and outputs, preventing credentials, PHI, and sensitive business data from leaking through AI workflows.
Why is DLP critical for AI workflows in 2026?+
Shadow AI is the fastest-growing data security risk of 2026. Employees routinely paste sensitive data — client records, code with credentials, patient notes — into public AI tools without realizing the compliance implications. A single prompt containing an AWS key or patient SSN can trigger a SOC2 audit finding, HIPAA breach notification, or GDPR penalty.
What credentials does Sekurely DLP detect?+
Sekurely detects AWS access keys (AKIA... format), RSA and EC private keys in PEM format, database passwords, bearer tokens, JWT tokens, generic API keys, and hardcoded secrets in code and configuration files.
How does this differ from a PII detector?+
PII detection focuses on personal data — names, SSNs, emails — regulated by HIPAA and GDPR. DLP Monitor is broader: it catches credentials, secrets, and infrastructure data that create security risks even without PII. Think of DLP as the security layer and PII detection as the compliance layer — Sekurely provides both.
Can I integrate Sekurely DLP into my CI/CD pipeline?+
Yes. Sekurely offers an API (Growth plan and above) that you can integrate into your CI/CD pipeline, Slack bots, or custom applications. The API accepts text payloads and returns structured findings with severity ratings — ideal for automated pre-flight checks before AI system calls.
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Stop data leaks before they become breaches
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