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Arga proactively red-teams your software and AI agents by exploring edge cases, adversarial inputs, and failure modes in a safe sandbox environment.

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For software

Arga fuzzes your application with adversarial inputs and unexpected interaction patterns to uncover bugs that normal testing misses. Because all external calls route through digital twins, this happens safely without affecting real services. What Arga looks for:
  • Unhandled error states and edge cases
  • Race conditions and state corruption
  • Unexpected behaviour under simulated failures (timeouts, rate limits, malformed responses)

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For AI agents

AI agents present unique risks — they can take unexpected actions, chain tools in harmful ways, or leak sensitive information. Arga places agents in controlled environments and probes their behaviour with adversarial prompts and unusual scenarios. What Arga tests:
  • Prompt injection and jailbreak resistance
  • Correct handling of ambiguous or conflicting instructions
  • Appropriate boundaries on tool use and data access
  • Graceful degradation when external services fail

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How it works

1

Define boundaries

Specify what your agent or application should and shouldn’t do. Arga uses these constraints as test oracles.
2

Generate adversarial scenarios

Arga’s agents create targeted test scenarios designed to push boundaries and expose weaknesses.
3

Execute in sandbox

Scenarios run against your code in an isolated environment with digital twins, so nothing touches production.
4

Report findings

Arga surfaces failures, unexpected behaviours, and near-misses with detailed execution traces.

Book a demo

See red-teaming in action. Schedule a 30-minute walkthrough.