Use cases
Where an AI agent firewall pays for itself
Any agent that can share personal data, move money or change access is a target. Here is how teams in different functions and industries use the firewall.
01
Finance and payroll
A caller sounding like the controller asks the payroll agent to change a direct-deposit account before Friday’s run.
- Verify before use on Change bank details: word of the day plus authenticator code
- Voice check flags the synthetic voice
- Pressure-tactics check quotes “before Friday” and “skip the usual checks”
- Bank changes from abroad blocked by a custom rule
02
HR and people teams
An HR assistant answers questions about pay, leave and benefits for thousands of employees.
- Each employee verifies before personal records are shared
- Sensitive-record limits stop one person pulling many colleagues’ records
- Unusual-request alerts catch a stolen login asking for things it never asked before
03
Contact centers and customer support
A support voice agent can look up accounts and reset access for callers.
- Caller ID check on every inbound call
- Synthetic-voice scoring on every utterance
- Authenticator code typed on the keypad, never heard by the AI
- Agent hands off to a person when a voice is blocked
04
IT help desk
Attackers call the help desk claiming to be an executive locked out before a board meeting.
- Duress word lets a coerced employee signal for help silently
- Approve on your phone for password and MFA resets
- Pressure tactics and impersonation flagged before the reset tool runs
05
Healthcare and regulated data
An agent reads patient or member records to answer questions.
- Records count only from tools and tables your team marked sensitive
- Per-conversation and daily caps with approval at the limit
- Answers to verification never reach the model, logs or transcripts
- Alerts and scores deleted after 30 days
06
Public sector
A resident-facing assistant answers questions and can open service requests and look up cases.
- Prompt injection in uploaded documents and web pages flagged
- Allowed sites and new email domains require approval
- Monitor mode to evaluate on real traffic before enforcing
07
Product and engineering teams
You run your own chat app or agent framework outside Autessa.
- Call the inspect API at each phase of each turn
- Named policies per application
- Run the attack simulator against a named policy in CI or before launch
Protect the agent that worries you most first.
Give it a custom policy, run the attack simulator against it, and watch it in Monitor for a week.
Starts in Monitor · nothing changes for your customers until you enforce
100% customizable, code and all
Make Autessa AI Agent Firewall fully your own.
Use it out of the box, then change anything. Ask Autobot, Autessa’s AI builder, for a new field, screen, report, workflow or agent and it builds it into your copy of the app. Or open the code and edit it yourself. Nothing is locked: the app, its data and its code are yours.
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