Your AI agents are snitches.
We make them safe.
Every agent you run has your API keys, your credentials, your code. One prompt injection and they leak everything. Permissions? You click “Accept” 50 times a day without reading. That's not security. That's theater.
Permissions defeat the purpose of autonomous agents. If you have to babysit every action, you don't have an agent. You have an autocomplete with extra steps. You need infrastructure-level security, not more pop-ups.
They don't mean to leak. They just can't help it.
AI agents need credentials to do useful work. The problem: those credentials live in memory, env vars, and config files. Accessible to any prompt injection, any rogue MCP server, any debug log.
Claude Code logs your API keys in ~/.claude/ session files
MCP servers read your .env at startup and can phone home
You click "Accept" 50 times a day without reading. Be honest.
Agent memory persists credentials across sessions
Roll your own? Here's what that looks like.
10 security layers. Each one is a specialty with its own failure modes, CVEs, and ops burden. This is what you're signing up for.
Credential isolation
Not just a vault. Phantom token injection so the agent never sees the real key. Custom proxy, token swap logic, session binding.
Kernel sandbox
gVisor or Firecracker. Container escape prevention. Syscall filtering. Read-only root filesystem. Network namespace isolation.
Prompt injection scanning
Fine-tuned BERT classifier. Multi-pass deep scan pipeline. Input AND output scanning. Sub-100ms latency budget.
Immutable system prompts
The agent cannot modify, override, or convince itself to ignore its own rules. Separate enforcement layer, not just a prefix.
Supply chain firewall
Package verification before install. MCP server scanning. Dependency audit on every agent run. Aikido-style interception.
Network policies
Default deny. Allowlist per service. No lateral movement. Agent pods talk to the proxy and nothing else.
Secrets rotation
Auto-rotate credentials. Per-tenant cryptographic isolation. Zero shared keyrings. Revocation in seconds, not hours.
Audit trail
Every request logged. Signed per session. Immutable. Who did what, when, with which credential. Compliance-ready.
RBAC enforcement
Which tools the agent can use, which APIs it can call, what data it can touch. Hard boundaries, not suggestions.
Ops, monitoring, on-call
Alerting rules. Incident runbooks. CVE patching. Certificate renewal. Uptime SLAs. 3 AM pages when something breaks.
Don't roll your own. We host it for you.
You pay your LLM provider directly. We charge only for the security and hosting layer.
Point your agent at us
One config change. Swap the API endpoint. Works with Claude Code, LangChain, CrewAI, AutoGen, or anything that makes HTTP calls.
We handle the rest
10 security layers, configured and hosted. No infra to manage. No on-call. No CVE patching at 3 AM.
You ship
Your agents run like normal. The security is invisible to you and your users. Airtight for attackers.
Questions
Every AI agent needs credentials to do useful work. The problem: those credentials live in the agent's memory, environment variables, or config files. A prompt injection attack, a malicious MCP server, or even a debug log can exfiltrate them. The agent doesn't mean to leak your keys. It just can't help it. It's a snitch by architecture, not by intent.
Permissions ask YOU to be the security layer. "Allow this tool?" "Approve this action?" 50 times a day. You stop reading after the third one. That defeats the entire purpose of an autonomous agent. Real security can't depend on human vigilance. It has to be enforced at the infrastructure level, invisibly.
Your agent gets a placeholder token, not your real API key. The real credential is injected by ProClaw's proxy after the request leaves the agent's memory space. Even if the agent is compromised, the real key was never there. Env dumps, memory scans, log exfiltration... nothing to find.
One config change. Point your agent at ProClaw's endpoint instead of the API directly. That's it. Works with Claude Code, LangChain, CrewAI, AutoGen, or anything that makes HTTP calls.
You pay your LLM provider (Anthropic, OpenAI) directly for AI usage. We never touch your AI spend. ProClaw charges only for the security and hosting layer: free tier at $0/mo, Pro at $29/mo per developer. All 10 security layers included on every plan.
You can. Scroll up and read the 10 layers. Each one is a specialty with its own failure modes, CVEs, and ops burden. We spent months building this so you can spend those months shipping your product instead.
You have better things to do
than play security guard.
Free tier included. All 10 security layers on every plan.