← Solutions/AI Coding Assistant DLP

On-Device DLP for AI Coding Assistants & Autonomous Agents

Legacy CASB and network DLP solutions were built for web browsing and email—not developer coding agents executing terminal commands and inspecting repository files. ReclaimLLM runs directly at the tool execution boundary, masking secrets before egress and providing tamper-evident session audits across your entire engineering team.

DEVELOPER RUNTIME

Claude Code · Cursor · Gemini CLI · Antigravity

RECLAIMLLM HOOK DLP

Pre-execution intercept · .env masking · High-entropy regex · Variable name preservation

MODEL EGRESS

Clean prompts received by Anthropic, OpenAI & Google

● Sub-millisecond local execution overhead✓ Zero network proxy latency● Tamper-evident SIEM export

The Architectural Divide

Why Traditional Network & Endpoint DLP Fails on Coding Agents

Autonomous coding tools do not look like standard web traffic. They execute recursive terminal commands, invoke MCP servers, and process streaming token chunks.

NETWORK CASB LIMITATION

Breaks Streaming & Tool Loops

Forward proxies inspecting outbound HTTP cannot distinguish between agent tool calls and ordinary browsing. They drop connections, introduce latency spikes, and break Server-Sent Events (SSE).

HEAVY ENDPOINT AGENT

High CPU & Kernel Overhead

Heavy OS-level DLP daemons monitor every file access indiscriminately, slowing down compilation, git checkouts, and build pipelines without understanding agent context windows.

RECLAIMLLM NATIVE HOOK DLP

Targeted Tool-Level Defense

ReclaimLLM hooks integrate natively into the client lifecycle. It only scans tool inputs and environment files before execution, masking secrets instantly with zero build overhead.

Cross-Assistant Coverage

Universal DLP Across Your Entire Toolchain

CURSOR IDE

Cursor Security & DLP →

Protects Composer and terminal tool calls. Fixes the blind spots of .cursorignore before files reach Claude or OpenAI models.

CLAUDE CODE CLI

Claude Code DLP →

Native terminal hook. Redacts .env variables, masks bash stdout credentials, and compacts verbose test outputs.

GITHUB COPILOT

Copilot Governance →

Native VS Code agent hooks for Copilot Chat in Agent mode. Inline completions governed via Enterprise LLM Gateway and OpenTelemetry traces.

GEMINI CLI & CODEX

CLI Agent Protection

Native hooks for Gemini CLI, Codex CLI, and Antigravity intercept commands and diffs with sub-millisecond overhead.

LOCAL API PROXY

OpenAI & Anthropic Proxies

Local LiteLLM proxy (rclm-proxy) catches direct custom LLM scripts and CLI workflows.

BROWSER EXTENSION

Web AI Chat Capture

Monitors web interactions on ChatGPT, Claude.ai, and Gemini, flagging unvetted pastes and proprietary code.

DLP Architectural Comparison

CriteriaReclaimLLM Hook DLPNetwork CASB ProxyHeavy EDR / Endpoint Agent
Where inspection occursTool execution boundary (Local)Network egress gatewayOS Kernel / File system filter
Understands coding tool loopsYes (Cursor, Claude, Codex, Gemini)No (Generic HTTPS only)No (Generic file reads only)
Preserves agent debugging logicYes (Typed redaction placeholders)No (Drops or resets HTTP connection)No (Blocks file open operation)
Latency impact on developer< 1ms (Compiled regex)50ms–200ms roundtrip hopNoticeable CPU/disk overhead
Tamper-evident session replayYes (Paired diffs & tool output)No (Truncated HTTP packets)No (Process events only)

Frequently Asked Questions

How is AI coding assistant DLP different from traditional network CASB or email DLP?

Traditional CASBs and network DLPs inspect encrypted packets at the perimeter or intercept email gateways. They lack understanding of autonomous coding agent loops, tool call payloads, and local terminal bash commands. They frequently break streaming token responses or block legitimate code edits. ReclaimLLM hooks directly into developer tools at the tool execution boundary on the workstation, redacting secrets before network transit while preserving variable syntax so agents can complete tasks.

Which AI coding assistants are supported by ReclaimLLM's native hook DLP?

ReclaimLLM natively supports Copilot Chat in Agent mode (VS Code), Claude Code, Cursor, Gemini CLI, Codex CLI, and Antigravity out of the box via rclm-hooks-install. It also captures browser sessions from ChatGPT, Claude.ai, and Gemini, and intercepts direct LLM API traffic via local LiteLLM proxy and OpenTelemetry.

What happens when an engineer pastes customer PII or a secret into a prompt?

File reads and tool outputs matching .env files or known credential patterns are masked immediately before transit. Prompts containing unredacted PII (emails, customer IDs, JWTs) are flagged as sensitive sessions during ingestion, quarantined from public feeds, encrypted with customer-held AES-256 keys, and surfaced for security audit.

Can ReclaimLLM DLP be deployed completely air-gapped or on-premises?

Yes. Hook DLP executes 100% locally on the developer machine. For centralized audit storage and gateway routing, enterprise customers can host the ReclaimLLM server entirely within their private AWS, GCP, or Azure VPC using Docker or Kubernetes Helm charts.

Protect AI Coding Sessions Across Your Enterprise

Eliminate credential exposure without hindering developer velocity.