Velatir — agentic threat model
Velatir acts as a security and governance SDK/dashboard rather than an autonomous agent, focusing on human-in-the-loop (HITL) controls. Its primary risk lies in the potential bypass of its approval mechanisms, which could allow downstream agents to execute critical actions without authorization.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 — Velatir is presented as an SDK and dashboard; the listing does not specify if it uses internal foundation models for decision classification or relies entirely on deterministic rules.
Not certain from the listing — The system stores historical decision patterns to automate low-risk decisions, implying a database of past actions, but details regarding data storage, encryption, or vector databases are not provided.
Velatir integrates directly into agent frameworks via a lightweight SDK to intercept critical functions. The primary threat at this layer is SDK bypass, where developer misconfiguration or framework vulnerabilities allow agents to execute tools without triggering the Velatir approval hook.
Not certain from the listing — While Velatir provides an 'Approval Dashboard' and an SDK, the hosting infrastructure (SaaS vs. self-hosted) and associated network/secret management details are not specified.
Velatir is highly focused on this layer, providing real-time decision monitoring, rich data insights, and notifications. Threats include dashboard session hijacking, log tampering to hide unauthorized actions, or spoofing of approval signals.
This is Velatir's core strength, offering compliance tools aligned with Article 14 of the EU AI Act to ensure auditability. Threats include compliance-bypass exploits or unauthorized users gaining access to the dashboard to approve high-risk actions.
In an agent ecosystem, Velatir serves as a gatekeeper. A key threat is cascading failure if Velatir's decision automation is poisoned by malicious agents feeding it simulated 'low-risk' historical patterns to auto-approve malicious actions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.