Real-time governance for AI agents
FriskAI enforces deterministic policies on agent tool calls before execution, resolves conflicts safely, and routes high-risk actions to human approval, without changing how teams build agents.
Core Capabilities
Everything you need to govern agents at scale, from pre-execution policy enforcement to forensic audit and compliance reporting.
Drop in the FriskAI SDK and get real-time visibility, enforcement, and auditability across every agent action.
- TypeScript & Python SDKs
- Framework adapters
- Sub-ms latency
from friskai import FriskClient
from friskai.adapters.langgraph import FriskLangGraphHandler
from my_agent.graph import graph
frisk = FriskClient(
api_key='FRISK_API_KEY',
)
# install once
app = FriskLangGraphHandler(graph, frisk)Express complex business rules simply. Define conditions on tool arguments, user roles, account state, and numeric thresholds, and preview outcomes safely before activation.
- Visual policy builder
- JSON export
- Version history
{
"enforce": [
{
"if": "amount > 10000",
"then": [
"block",
{ "notify": "slack://risk-team" }
]
}
]
}See exactly what your agents attempted to do, why FriskAI allowed or blocked it, and which policies were applied at the time.
- Complete traces of every agent action
- Full context around each tool call
- Step-by-step history before and after execution
Enterprise Readiness
Built for regulated, security-sensitive environments where auditability and control are mandatory.
See the platform in action
Instrument a sandbox agent, review policy templates, and walk through a live incident with our team.