Redactsure offers a sandboxed runtime that isolates AI agents from raw sensitive data by redacting personally identifiable information and substituting safe tokens before the agent processes it. The platform enables secure web‑browser automation and workflow tasks while encrypting all agent traffic, detecting anomalous exfiltration attempts, and providing audit logs for compliance, all without requiring code changes or custom APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises using AI agents to automate tasks on sensitive systems risk inadvertent data leakage because the agents can be prompted to read and exfiltrate confidential information. Prompt‑injection attacks allow malicious URLs or instructions to bypass firewalls, DLP, and proxy controls, exposing personal identifiers, financial data, and proprietary content without detection.
Solution
Redactsure provides a runtime environment that isolates AI agents from raw data while preserving their ability to perform actions such as web browsing, form filling, and workflow automation. The platform injects a redaction layer that replaces sensitive fields with synthetic placeholders before the agent processes them, and restores the original values only when the action is executed on the target system. All agent‑generated traffic is encrypted and monitored for anomalous patterns, and any attempt to extract data triggers automatic blocking and alerting. By decoupling data access from the AI’s reasoning process, Redactsure eliminates the insider‑threat vector inherent in prompt‑injection attacks without requiring custom APIs or code changes.
Target Audience
Primary customers are large enterprises, financial institutions, and healthcare organizations that automate routine tasks with AI agents on systems containing regulated or confidential data.
Features
- Real‑time data redaction that substitutes personally identifiable information with safe tokens before AI consumption
- Sandboxed browser automation that runs AI agents in a controlled container isolated from production networks
- End‑to‑end encryption of all agent communications with built‑in anomaly detection for exfiltration attempts
- Policy engine that defines which data categories are redacted and which actions are permitted per workflow
- Transparent audit logs that record agent prompts, redacted data mappings, and execution outcomes for compliance reporting
- Simple integration via a browser‑based interface; no code changes or API integrations required to deploy