Use Cases

The failure isn’t the model. It’s the workflow around it.

Every agent that touches tools, data, or customers has a different way to break. Here’s how Fisher tests the ones you’re actually running.

The primer

Four ways a well-behaved model fails as an agent.

01
Multi-turn pressure

A goal refused head-on is approved once it’s broken into innocent-looking steps.

02
Instruction-hierarchy confusion

The agent treats data it merely reads — a document, a tool result — as instructions to obey.

03
Tool misuse & over-reach

The agent uses a legitimate capability for an illegitimate end.

04
Boundary & authorization gaps

Scoped access leaks across roles, objects, or agents.

Scenario library

Test the agent you actually shipped.

Fisher ships with ready-made scenarios across a growing library of vulnerability domains; each is adapted to your workflow or used as a starting point for a custom study.

Scenario
Customer support
social engineering, refund/policy bypass, restricted-info disclosure.
OWASP Agentic: Tool Misuse
Scenario
Coding assistant
unsafe file access, code execution, sandbox-escape pressure.
Scenario
RAG assistant
indirect prompt injection through retrieved / poisoned content.
Scenario
Database / SQL agent
SQL injection, schema probing, data extraction, privilege escalation.
Scenario
Financial workflow
unauthorized transfers, audit bypass, financial-policy abuse.
Scenario
PII / privacy
leakage through direct, social, aggregation, and export paths.
Scenario
Healthcare
PHI disclosure and HIPAA-relevant failure paths.
Scenario
Telecom
CPNI disclosure, SIM-swap pressure, account-takeover workflows.
Scenario
Authorization / RBAC
object- and function-level authorization failures, role confusion.
Scenario
Multi-agent (LangGraph)
cross-agent injection and routing manipulation.
By industry

Built for high-consequence workflows.

Industry
Fintech & payments
Agentic flows under the most scrutiny — refund, transfer, and disclosure boundaries tested and mapped to your controls.
Industry
Healthcare & health-tech
Sensitive-data workflows where an unauthorized action can create material privacy, safety, or compliance exposure.
Industry
Enterprise SaaS
Copilots embedded in your customers’ products — test them before your customers’ security teams do.
What a study covers

We test a sealed copy — never production.

Fisher runs against an approved sandbox or endpoint using synthetic data and canary values.

We may ask for

  • An approved sandbox, simulated environment, or approved endpoint
  • Test credentials with agreed permissions
  • Tool shapes or API descriptions
  • Sample schemas or synthetic fixtures
  • Your safety rules and a few representative tasks

We do not request

  • Production access
  • Employee or customer credentials
  • Real customer records

Ready to see it on your own agent?

A 30-Day Agent Assurance Assessment turns your riskiest workflow into reproducible, framework-mapped evidence.

Request an Assessment →