Kaizen and Prisma AIRS

Prisma AIRS (Palo Alto Networks) and Kaizen sit at different layers of AI security and work well together.

Prisma AIRS is a broad AI security platform. Its scope spans model scanning, AI posture management, runtime protection that inspects prompts and responses inline at network or API scale, red teaming, and agent security. Its center of gravity is the content and model-supply-chain layer, across an enterprise.

Kaizen is a focused runtime behavioral layer. It learns what each agent normally does, diffs every action against what you declared, watches the action layer (the tool calls, connections, and data access), and runs a reasoning check on sequences, in your own tenant, attached in one line.

	Prisma AIRS	Kaizen
Model scanning and supply chain	yes	no
AI posture, discovery across the enterprise	yes	no
Inline prompt and response inspection	yes	no
Per-agent learned behavioral baseline	partial	yes
Diff each action against declared behavior	no	yes
Reasoning check on a sequence, your model key	no	yes
In-tenant, one-line attach	platform	yes

The two are complementary. Prisma AIRS covers content, model, and posture broadly; Kaizen adds per-agent behavioral detection at the action layer and exports its verdicts to your SOC. Run AIRS for the content and model layer and the enterprise view, and Kaizen for the per-agent runtime behavior, the question of whether an agent did something it never does. Kaizen exports verdicts over OpenTelemetry, webhooks, and SIEM connectors, so its findings land alongside the rest of your AI security signal.