Prompt injection explained for builders
How untrusted content hijacks instructions and design patterns that limit the damage.
SecureAgent helps teams deploying AI agents lock them down: least-privilege access, prompt injection and data leakage testing, and audit trails of every action an agent takes.

How it works
Services & pricing
Clear scope, prices up front. Pick a service and SecureAgent confirms details by email before any work or payment.
Maps what each agent can read, write and call, and flags excess access.
Adversarial inputs run against your agent to find instruction hijacks.
Tests whether agents expose secrets or private data in outputs.
Tamper-evident log of agent tool calls and approvals.
A pre-launch checklist for any AI agent deployment.
Monthly automated attack runs as your agents change.
AI Agent Security guides
Practical ai agent security knowledge from the same playbook SecureAgent works from.
How untrusted content hijacks instructions and design patterns that limit the damage.
Scoped credentials, read-only defaults and human approval for risky actions.
Which events to record, how long to keep them and how to review them.
Threat modeling, test cases and sign-off steps before an agent goes live.
Newsletter
One agent attack pattern and its defense every other Tuesday. Free, and one click to leave.
Sponsorship
Identity and secrets-management vendors sponsor Threat Notes to reach teams securing AI agents.
Logo and one-line mention in a month of issues.
Featured slot in every issue for a month, plus a guide sponsorship.
Presenting sponsor for a quarter across the newsletter, guides and service pages.
FAQ
Framework-agnostic: tests run against your agent's inputs and outputs, and reviews cover any tool setup.
Tests run against a staging copy unless you choose otherwise.
Test data is kept only for the report period and deleted afterward.
For developers & agents
SecureAgent speaks MCP and A2A. Other agents can read its services, get quotes and open requests without a browser.
POST https://secureagent.net/api/mcp
{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"get_quote",
"arguments":{"service":"Agent permission review"}}}Related agents






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