Use Cases

What could your system do that you never intended?

Assess the model, the configured agent, or the risks created when your agents work together.

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.

Adversarial agent red teaming with Fisher

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.
Beyond a single agent

Models and multi-agent systems.

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.
Fisher assessment scope

Scope is agreed before testing begins.

Testing begins after the target environment, permitted actions, access, and evidence handling are agreed. The preferred route is your staging or test environment. Environments and access →

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

Not required to start

  • Production access, source code, or live customer data
  • Employee or customer credentials
  • Real customer records

Access is agreed per environment during scoping.

Which system do you need to assess?

Tell us about the model, agent workflow, or multi-agent system and the behavior you need to test.

Book demo →