A runtime firewall for AI agents, preventing destructive actions and data breaches.
Product memo
Developers building AI agents face a critical risk: agents can delete databases or exfiltrate data. Clampd provides a runtime security layer, acting as a firewall for agent tool calls. It inspects and enforces every database query, API call, and file access before execution. This approach mitigates risks like prompt injection, privilege escalation, and data exfiltration, serving developers concerned about agent misbehavior.
For who
Developers building AI agents
Solves what
Runtime security for AI agents, preventing destructive actions.
- Runtime tool call firewall
- Self-hosted deployment
In their own words
Your AI agents can delete your database.
Clampd sits between your agents and the tools they use. Every database query, API call, file access, and shell command - inspected, scoped, and enforced before it executes. If an agent goes rogue, we kill it in under 25ms. One line to integrate. Self-hosted. Your data never leaves your network.
Commercial cues
Model
free only
Free tier
Yes
Trial
Available
Pricing Strategy
Clampd offers a free Design Partner tier, with Enterprise handled through custom pricing.
- • Custom enterprise pricing addresses large-scale security requirements.
- • Self-hosted deployment appeals to privacy-focused B2B buyers.
Operator context
Founded
May 2026
Platform
API
Audience
Developers
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About clampd Expand
Clampd offers a crucial runtime security layer for developers building AI agents. It functions as a firewall, meticulously inspecting and enforcing every tool call an agent attempts, including database queries, API calls, and file access.
This mechanism prevents common exploits such as prompt injection, privilege escalation, and data exfiltration, which are significant concerns for organizations deploying autonomous agents. With self-hosted deployment options and SDKs for Python and TypeScript, Clampd targets developers who need specific control over agent behavior and data integrity.
Its positioning addresses a critical security gap in the rapidly evolving AI ecosystem.