DEEPKEEP’S AI LENS FLAGS CODING AGENT DATA LEAKS AND ROUTES DESTRUCTIVE COMMANDS FOR APPROVAL

**H1:** "DeepKeep's AI Lens: The Shield Against Data Leaks and Malicious Code"

**P:** DeepKeep, a leading provider of AI usage control and runtime protection solutions, has unveiled AI Lens for Developers, a groundbreaking extension designed to safeguard software developers and their coding agents from data breaches and malicious activity. This innovative module closes a critical gap in security programs, offering policy enforcement, audit visibility, and runtime security over coding agents. As 90% of developers rely on AI coding agents in their work at least weekly, the need for such a solution has never been more pressing.

**P:** The increasing role of AI coding agents in the software development life cycle (SDLC) has led to a significant security concern. These endpoint agents can read local files, run shell commands, and call MCP tools directly on a developer's machine, making it challenging for security teams to monitor and control their activity. With less human review at each step, code is moving from prompt to production with greater ease, creating a growing problem for cybersecurity professionals.

**P:** DeepKeep's AI Lens for Developers addresses this issue by deploying guardrails and full-time monitoring that target how developers actually work. This light plug-in solution catches agent activity before and after it runs, allowing security teams to gain coverage without adding a new endpoint client footprint to developer machines. AI Lens flags credentials, tokens, and passwords that can leak through prompts and attached files, as well as catches insecure code patterns generated by agents, such as functions missing authentication.

**P:** Moreover, destructive commands are flagged and sent for human approval before they run, ensuring that sensitive code sections or internal repositories are not compromised. Administrators can set custom key-phrase detection to flag sensitive code sections or internal repositories by name, providing an additional layer of security. Every session produces a full audit log, including device ID, prompt content, and user ID, allowing security teams to track and review all activity.

**P:** The Policy Hub allows administrators to set policy by role or across the organization, configuring rules to block categories such as personally identifiable information (PII), credentials, or destructive commands. Hooks built into the coding agent intercept prompts, shell commands, file reads, and MCP tool calls before and after they run, and route each one to DeepKeep's system for an allow, block, or audit decision.

**P:** "Developers have more permissions and access than almost anyone else in the organization, and coding agents now act with full autonomy and responsibility," said Ofer Rotberg, VP Product of DeepKeep. "The risk is real, as the recent OpenAI and Hugging Face incident showed, where AI agents were able to access and exploit external systems during testing. It is essential for CISOs to maintain visibility into what's happening inside these tools, not just whether they're approved on paper. Security teams must monitor every agent action and block harmful behavior in real time, instead of sitting and waiting for the next incident."

**P:** AI Lens for Developers currently supports Cursor and Claude Code, with GitHub Copilot, OpenAI Codex, Lovable, Windsurf, and more coming soon. It is available now as part of DeepKeep's wider, dedicated AI security platform.

**P:** In conclusion, DeepKeep's AI Lens for Developers offers a vital solution to the growing security problem posed by AI coding agents. By providing policy enforcement, audit visibility, and runtime security, this innovative module helps security teams to stay one step ahead of potential threats and maintain the integrity of their organization's data. As the use of AI coding agents continues to rise, the need for solutions like AI Lens has never been more pressing.