DeepKeep adds AI Lens for Developers to monitor coding agents
DeepKeep launched AI Lens for Developers, a security tool that monitors AI coding agents like Cursor, Claude Code, and GitHub Copilot for real-time visibility and policy enforcement. The product inspects prompts, file access, shell commands, and external tool calls before and after execution, routing actions through DeepKeep’s policy system to allow, block, or audit them. It flags sensitive data…
Key points
- AI Lens monitors prompts, file reads, shell commands, and MCP tool calls in real time for coding agents like Cursor and GitHub Copilot
- Flags credentials, passwords, and insecure code patterns while requiring human approval for destructive commands
- Generates audit logs with device IDs, prompt content, and user IDs for incident reconstruction and compliance
The tool addresses growing concerns about the autonomy of developer tools, which can modify local files, run commands, and interact with external services via the Model Context Protocol (MCP). DeepKeep positions AI Lens as part of its broader AI security platform, which includes firewalls, red teaming, and usage controls. Ofer Rotberg, DeepKeep’s VP of product, emphasized the need for CISOs to gain continuous visibility into agent behavior to prevent harm before incidents occur. The product supports model-agnostic deployment across SaaS, private cloud, on-premises, and air-gapped environments.
DeepKeep Adds Runtime Guardrails for AI Coding Agents With AI Lens for Developers
Unite.AI · 1 October 2026
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