You test the code. Who tests the agent?
Traditional testing tools were built for deterministic software. Agents are probabilistic, drift silently, and fail in ways pytest can't catch. ARIAS gives testing teams behavioral coverage across every agent.
Your test suite wasn't built for this
Traditional testing tools assume deterministic software — fixed inputs produce fixed outputs. AI agents break every one of those assumptions.
Non-deterministic outputs
The same prompt returns different responses every time. assertEquals doesn't work when there's no expected value.
Silent behavioral drift
A model version bump or prompt edit changes agent behavior. No test fails. No alert fires. You find out in production.
Invisible blast radius
When an agent breaks, you don't know which other agents, tools, or external systems are affected. There's no dependency map.
No coverage metric
90% line coverage means nothing when the agent's permission scope, error handling, and memory architecture are untested.
From code coverage to behavioral coverage
ARIAS doesn't replace your test suite — it adds the layer your test suite can't cover.
Traditional Testing
- Assert exact outputs
- Code coverage %
- Regression = broken test
- Manual test plan per agent
- "It passed CI"
ARIAS
- Fingerprint behavioral dimensions
- Behavioral coverage across 6 dimensions
- Regression = behavioral drift detected
- Automated scan across 30+ frameworks
- "It passed the governance gate"
Three ways testing teams use ARIAS
CI/CD Gate
Add one step to your pipeline. ARIAS scans every commit, scores agent maturity across 6 dimensions, and blocks deployments that don't meet your quality bar. No workflow change required.
Drift Detection
ARIAS fingerprints agent behavior on every scan. When a prompt edit, model upgrade, or tool change shifts behavior, you see exactly what changed — before it reaches production.
Agent Inventory
Discover every agent across your codebase — including ones nobody knew existed. See which frameworks they use, what tools they have access to, and where the risk concentrations are.
What ARIAS tests that pytest can't
Every agent is scored across six behavioral dimensions. Together, they define the agent's production readiness.
Prompt Engineering
System prompt quality, input validation, injection resistance, output constraints
Agent Design
Tool permissions, read/write separation, side effect detection, retry strategies
Memory Architecture
State management, memory isolation, context window handling, data persistence
Orchestration
Multi-agent coordination, delegation patterns, circular dependency detection
Observability
Token tracking, cost controls, latency monitoring, correlation IDs, logging
Governance
Human oversight, approval gates, model version pinning, credential management
Your code never leaves your environment
The ARIAS scanner runs locally in your CI pipeline or developer machine. It analyzes code structure and patterns, then sends only metadata — agent counts, maturity scores, behavioral fingerprints — to the ARIAS platform.
No source code. No prompts. No API keys. No intellectual property.
Your security team will approve this in the first meeting.
What the scanner sends
- ✓ Agent count and framework types
- ✓ Maturity scores (6 dimensions)
- ✓ Behavioral fingerprint hashes
- ✓ Finding categories and severities
What it never sends
- ✗ Source code or code snippets
- ✗ API keys or credentials
- ✗ Prompts or system instructions
- ✗ File paths or directory structures
Add behavioral testing to your pipeline in 5 minutes
One install. One CI step. Immediate visibility into every agent in your codebase.