Permissioned read/write mounts between AI agents and your databases, S3, APIs, and more — zero raw credentials, full audit trail.
Security teams are blocking agent deployments. The reason is almost always the same: raw credentials in the agent runtime.
Database connection strings and API keys end up in agent context, system prompts, and LLM logs. One leak = full data access.
Agents read and write data with no record of what was accessed, when, or why. Compliance teams can't sign off on that.
Agents get broad access because fine-grained permission setup is too complex. Least privilege becomes an afterthought.
Agent Mounts sits between your agent and your data. The agent gets a scoped mount token. Credentials never touch the agent runtime.
Agents authenticate with short-lived mount tokens. No connection strings, no API keys — ever in agent context.
Define exactly which tables, buckets, or endpoints each agent can read or write. Scope to specific operations.
Every read, write, and query logged with agent ID, timestamp, and payload. Exportable to your SIEM.
Connect a data source, define permissions, generate a mount token. Drop it in your agent. Done.
Underlying credentials rotate on your schedule. Mount tokens stay stable. Your agent doesn't notice.
Alert when an agent queries more rows than expected, hits unusual endpoints, or operates outside defined hours.
Connect your agents to wherever your data actually lives.
Add your database, S3 bucket, or API endpoint. Agent Mounts stores credentials encrypted at rest, isolated from agent access.
Specify exactly what each agent can access — specific tables, read-only or read-write, row filters, rate limits, and time windows.
Drop the mount token into your agent config. The agent calls our mount API — never your data source directly. Full audit log automatic.
One leaked context window and your entire database is compromised. Here's the threat model every AI team needs to understand.
Read article →SOC 2, GDPR, HIPAA — all require data access logging. AI agents operating without an audit trail are a compliance blocker.
Read article →RAG is not always the answer. A practical decision framework for choosing between vector retrieval and live data mounts.
Read article →Get your first mount up in 5 minutes. Free plan includes 3 mounts and 1M reads/month.
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