Build agents faster. Ship them safer.
You're building agents across multiple frameworks, models, and repos. ARIAS scans your codebase, fingerprints agent behavior, detects drift, and gates deployments — so you can move fast without breaking production.
You're building fast. Visibility isn't keeping up.
Your team ships agents across LangChain, CrewAI, AutoGen, custom frameworks — and nobody has a unified view of what's running, how it's configured, or what changed since the last deploy.
Agent sprawl
Agents multiply across repos. Tools get added during prototyping and never removed. Permission scope grows silently.
Framework fragmentation
Different teams pick different frameworks. No common quality bar. No shared maturity model.
Model upgrade risk
Updating from GPT-4 to GPT-4o changes agent behavior. Same code, different outcomes. No test catches it.
Scan. Fingerprint. Gate.
Scan
Run locally against any repo. Detects agents across 35+ frameworks automatically.
Fingerprint
Each agent gets a behavioral fingerprint — goal, tools, memory, orchestration, error handling.
Score
Maturity scored across 6 dimensions with confidence-weighted findings from 1,500+ rules.
Gate
CI/CD gate blocks deploys when an agent drifts from its certified baseline.
The findings a file-level review can't reach
Agent sprawl and silent permission growth are relationship problems, not file problems. ARIAS builds the topology of your agents, tools, and delegation paths — then reads it.
Permission Fit
Compares the access an agent actually holds against the role its own definition describes — the tools added during prototyping that were never scoped back down.
Escalation Paths
Where a narrowly-scoped agent can reach broader capability by delegating to another agent — invisible when reading either agent's code on its own.
Permission Drift
Raises a signal when an agent gains a broader access tier than it held at its last approved baseline, so scope growth is reviewed rather than discovered.