Momentic AI — agentic threat model
Momentic AI presents a high-risk profile due to its integration into CI/CD pipelines and its capability to execute autonomous UI and API actions, meaning a compromise could lead to pipeline poisoning or unauthorized data access.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.50 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| 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 — likely utilizes vision-language and large language models for element location and natural language test creation. Threats include prompt injection that could manipulate test assertions or bypass security checks during automated runs.
Not certain from the listing — processes application DOMs, API schemas, and visual screenshots. Threats include the accidental ingestion and exposure of sensitive production or staging data within test logs and visual baselines.
Orchestrates test execution, element location, and self-healing. Threats include insecure tool integration where the agent is manipulated into executing unauthorized API calls or UI actions (e.g., deleting data) under the guise of a test.
Not certain from the listing — integrates with CI/CD pipelines and likely runs in cloud environments or local runners. Threats include container escape from the test execution sandbox or theft of CI/CD secrets and API keys.
Provides insights, analytics, and a visual editor to monitor test runs. Threats include insufficient logging of AI decision-making during 'self-healing' events, potentially masking malicious test modifications.
Not certain from the listing — no specific compliance certifications (e.g., SOC 2), role-based access controls, or audit logging mechanisms are detailed in the public listing.
Not certain from the listing — there is no indication of multi-agent collaboration or third-party agent marketplace integrations.
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.