Kaia's Team — agentic threat model
Kaia's Team presents a high-risk profile due to its integration with over 5,000 apps and direct connection to user accounts, creating a massive attack surface for unauthorized actions and data exfiltration. While enterprise-grade security and flexible deployment options offer some mitigation, the agent's high autonomy and tool access require stringent guardrails.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.40 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the underlying LLMs are not specified, leaving the system vulnerable to standard foundation model threats like prompt injection, adversarial manipulation, or model-specific backdoors.
With SSO for history and personal data, the platform manages sensitive user context. Threats include unauthorized data exfiltration, session hijacking, and knowledge-base poisoning via connected user accounts.
Connecting to over 5,000 apps introduces severe tool-misuse and insecure tool integration risks, where malicious inputs could trigger unauthorized API calls across connected services.
Offers flexible deployment (on-premises, public, or private cloud). While this allows isolated hosting, misconfigurations in cloud environments or lack of sandboxing for the 5,000+ app integrations pose container compromise risks.
Not certain from the listing — no specific evaluation, guardrail, or observability frameworks are detailed, creating potential blind spots in detecting anomalous agent behavior or drift.
Features SSO for history/personal data and claims 'Enterprise-grade Security'. However, managing access across 5,000+ third-party integrations requires robust OAuth/token management to prevent privilege escalation.
Named 'Kaia's Team', implying a multi-agent or collaborative structure. This introduces risks of cascading failures, trust abuse between agents, and unauthorized horizontal propagation of malicious instructions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).