Feature: Agent Identity & Trust Verification for Semantic Kernel

[haroldmalikfrimpong-ops]

Semantic Kernel orchestrates AI agents in enterprise workflows — but there is no cryptographic proof of which agent executed which step, or whether an agent was authorized for a specific operation. For regulated industries (finance, healthcare, government), this is a compliance gap.

AgentID closes it:

• Each agent gets a verified identity (Ed25519 certificates, W3C DID document)
• Every plugin/function call produces a dual-signed receipt — immutable audit trail
• Trust levels L1-L4 map to enterprise authorization tiers
• Behavioral monitoring flags anomalies before they cause damage
• Session continuity detection proves the agent has not been tampered with between operations
• EdDSA trust header JWT for zero-latency verification

pip install getagentid

from agentid import Client
client = Client(api_key="agentid_sk_...")

agent = client.agents.register(
    name="Compliance Agent",
    capabilities=["document-review", "risk-assessment"],
    platform="semantic-kernel",
)

result = client.agents.verify(agent.agent_id)

141 agents. 6/6 multi-attestation verified. SDK v0.5.0.

Docs: getagentid.dev/docs