Gabbuba — Context Security for AI Coding Agents
Endpoint-native visibility and control for Cursor, Claude Code, GitHub Copilot, Windsurf, and any AI coding tool your team adopts next.
CTOs and CISOs can't govern what they can't see. Gabbuba is an endpoint-native context security agent that detects secrets, monitors agent behavior, and enforces policy before code or credentials leave the device.
Key Capabilities
- MDM-Native Deployment via Intune, Jamf, Kandji
- Universal AI Tool Interception — IDEs, CLI agents, wrappers, MCP servers
- Secret Exfiltration Prevention — API keys, credentials, tokens, PII
- Listen-Only Mode — start with visibility, not friction
- Slack-First Alerts and Exception Workflows
- Policy Governance — per tool, per team, per provider
The Problem
Your DLP watches the browser. Your EDR watches the process. Nobody watches the context window. AI coding tools ingest source code, secrets, and config files then transmit context to model providers through channels traditional controls can't inspect.
Compliance
Five regulatory frameworks converge by August 2026: EU AI Act, SEC Cybersecurity Rules, NIST AI RMF, Colorado AI Act, SOC 2 & PCI DSS 4.0. All require visibility into AI tool data flows.
Frequently Asked Questions
How do I manage AI coding tools across my engineering team?
You probably can't — not yet. Cursor crossed $1B ARR in 24 months. GitHub Copilot has 20 million users. Claude Code hit $500M+ run-rate revenue within months. OpenCode has 95K+ GitHub stars with zero procurement needed. 77% of employees paste company data into AI tools, 82% on personal accounts. Gabbuba deploys silently via MDM (Intune, Jamf, Kandji) and discovers every AI coding tool across every endpoint. Start in listen-only mode with zero developer friction. Sources: SaaStr, CNBC, Sacra, TechCrunch, InfoQ, LayerX 2025.
Can AI coding assistants leak secrets and credentials?
They already are — at industrial scale. 65% of Forbes AI 50 companies leak verified secrets on GitHub. 12,000 live API keys found in AI training datasets. 30+ CVEs found across Cursor, Copilot, Claude Code, Roo Code, and JetBrains Junie. Gabbuba intercepts at the endpoint — before encryption, before submit — scanning for API keys, credentials, tokens, and PII patterns in real time. Sources: Wiz 2025, Truffle Security, Check Point Research, Lakera, The Hacker News.
Is my DLP or CASB enough to secure AI coding tools?
No. Cursor uses WebSocket connections. Claude Code makes terminal API calls. GitHub Copilot's coding agent runs in cloud Codespaces. None touches your proxy. Cursor's Agent mode breaks through SWGs like Zscaler when SSL inspection is enabled. Gabbuba uses macOS Network Extensions and Windows Filtering Platform to inspect traffic at the endpoint — before encryption, no proxy needed. Sources: Cursor Forum, Chaser Systems, GitHub Docs, Help Net Security 2026.
What are the security risks of agentic AI coding tools?
Agentic tools autonomously read files, execute commands, install packages, and make API calls. Researchers demonstrated zero-click attacks via MCP servers, Jira tickets, and GitHub Issues that hijack AI agents. MCP compounds risk with tool poisoning and supply chain attacks. Gabbuba monitors all agent types at the endpoint and enforces policy per tool, team, provider, and data type. Sources: Orca Security, Zenity Labs, Forrester, Unit 42, GitHub Docs, Pillar Security.
How do I get visibility into shadow AI tools my developers are using?
You need an agent at the endpoint. OpenCode installs via npm with no procurement. Shadow AI breaches cost $670K more per incident. Gabbuba's 14-day Shadow AI Audit deploys in listen-only mode via MDM and produces a complete inventory of every AI coding tool in use — sanctioned vs unsanctioned, which providers receive requests, which teams have highest exposure. Sources: InfoQ, IBM 2025, LayerX 2025, Barrack.ai.
Won't controlling AI tools slow down my developers or cause backlash?
Banning doesn't work — 48% of developers keep using AI tools regardless. Gabbuba starts in listen-only mode with zero latency and zero developer awareness. Enforcement uses local endpoint processing with no remote proxy. Developers get contextual Slack alerts and can request exceptions. Frame it as protecting developers, not monitoring them. Sources: Opsera, SaaStr.
What happens if a developer's AI tool gets exploited through prompt injection?
Prompt injection success rates exceed 85% against state-of-the-art defenses. Attacks poison data the model reads — PR comments, .cursorrules files, Jira tickets, MCP tool descriptions. Gabbuba intercepts the output, not the prompt. It inspects what's transmitted to the provider regardless of how context was assembled. The attack can manipulate the model but can't manipulate the network filter. Sources: arXiv 2026, Pillar Security, Orca Security, Secure Code Warrior.