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Warden governs every place your team uses AI, from CLIs like Claude Code to desktop apps, browsers, and AI agents, all from one engine instead of a pile of separate tools. It keeps your existing subscriptions with no forced API billing, installs with one command, needs no MDM, catches risky agent tool calls, runs its checks offline, and actually blocks leaks instead of just logging them.
The core wedge: one engine, every plane
Most tools own one capture point: a browser DLP extension, or an LLM gateway, or a network proxy. Warden runs a single detection engine behind all of them, covering the gateway, browser extension, egress proxy, pre-tool-use hooks, and CI. You get the same policy and the same verdicts whether the risk is a paste into claude.ai, a Claude Code prompt, a desktop-app call, or a dependency landing in a PR. Competitors make you stitch several products together and reconcile their policies. Warden is one policy surface.
Standout features vs. the existing categories
1. Subscription-compatible governance (not just API billing).
Gateway-style competitors like Portkey, LiteLLM, and Cloudflare AI Gateway govern by repointing ANTHROPIC_BASE_URL, which forces you onto per-token API billing and only covers tools that read that env var. Warden's egress proxy and hooks inspect at the network and tool layer, so they work with Pro/Max subscriptions untouched. You get to choose: gateway for a hard, unbypassable boundary, or proxy for subscription-friendly coverage. That choice is rare.
2. Agentic and MCP inspection, agentlessly.
This is the most novel piece. Warden inspects an AI coding agent's tool-use (tool_use/tool_result) over the LLM traffic it already sees. That means sensitive-file access, dangerous commands like curl piped to sh, tool poisoning hidden in MCP server descriptions, and untrusted MCP servers, even for local stdio MCP servers the network can't observe. MCP security is still new ground, and most competitors don't touch it at all.
3. Covers what browser-DLP and gateways structurally miss.
CLIs like Claude Code, Codex, and Gemini get covered via PATH shims plus NODE_EXTRA_CA_CERTS, desktop apps via system proxy and CA, and browsers via the extension. The Node-CLI insight, that these tools ignore both the OS proxy and the trust store, is something GenAI-DLP and CASB products like Nightfall and Netskope generally don't handle.
4. Agentless by default, and installs without MDM.
Core enforcement is an MDM policy pack (Jamf, Intune, GPO) with no endpoint agent. But unlike enterprise tools that assume MDM, Warden also installs self-serve in one command (curl piped to bash), sudo-free and subscription-compatible, built for small orgs that have no MDM at all.
5. Offline detection core, no API key required.
The prompt-injection and jailbreak detectors, along with the shadow-AI detectors for secrets, PII, and source code, run fully offline. A frontier-model "LLM judge" is optional on top. Competitors that are LLM-in-the-loop by design add latency, cost, and a data-egress dependency to every check.
6. Blocks the certain, monitors the fuzzy.
Enforcement happens inline (a 403 or JSON-RPC error before the request ever leaves), and confirmed secret or PII leaks are hard-blocked even in monitor mode. It's a real control, not just observability and analytics.
7. Shadow-AI discovery and coverage reconciliation.
Warden compares your IdP and CASB AI-usage against what it actually captured, surfacing the unmanaged, shadow set that represents your blind spots, plus SIEM and S3 export.
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About Warden: DETECT · BLOCK · PROTECT on Product Hunt
“Stop attacks on your own LLMs”
Warden: DETECT · BLOCK · PROTECT was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #94 on the daily leaderboard. Warden governs every place your team uses AI, from CLIs like Claude Code to desktop apps, browsers, and AI agents, all from one engine instead of a pile of separate tools. It keeps your existing subscriptions with no forced API billing, installs with one command, needs no MDM, catches risky agent tool calls, runs its checks offline, and actually blocks leaks instead of just logging them.
Warden: DETECT · BLOCK · PROTECT was featured in Artificial Intelligence (474.4k followers) on Product Hunt. Together, these topics include over 109k products, making this a competitive space to launch in.
Who hunted Warden: DETECT · BLOCK · PROTECT?
Warden: DETECT · BLOCK · PROTECT was hunted by David Kerschieter. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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David Kerschieter