Question 1

How do I manage AI coding tools across my engineering team?

Accepted Answer

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.

Question 2

Can AI coding assistants leak secrets and credentials?

Accepted Answer

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.

Question 3

Is my DLP or CASB enough to secure AI coding tools?

Accepted Answer

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.

Question 4

What are the security risks of agentic AI coding tools?

Accepted Answer

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.

Question 5

How do I get visibility into shadow AI tools my developers are using?

Accepted Answer

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.

Question 6

Won't controlling AI tools slow down my developers or cause backlash?

Accepted Answer

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.

Question 7

What happens if a developer's AI tool gets exploited through prompt injection?

Accepted Answer

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.