Secra — agentic threat model
Secra has a low agentic risk posture as it operates as a defensive security proxy rather than an autonomous agent. However, as an inline intermediary, any compromise or bypass of its filtering capabilities represents a single point of failure for the security of the connected agent ecosystem.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.20 |
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 — Secra sits between agents and LLMs, but the listing does not specify if Secra uses its own internal foundation models for classification or relies on heuristics/deterministic signatures.
Not certain from the listing — While it blocks data exfiltration, it is unclear if Secra stores, logs, or vectorizes the interaction data it intercepts, which could create a secondary data exposure risk.
Secra acts as an intermediary security layer specifically designed to protect agent frameworks from prompt injection, persona hijacking, and tool-based data exfiltration.
Not certain from the listing — As an API-based intermediary, its deployment model (SaaS vs. self-hosted) is not detailed, leaving potential risks regarding transit encryption and container sandboxing unaddressed.
Secra directly addresses this layer by providing real-time monitoring, threat detection, and guardrails against malicious inputs and unauthorized data exfiltration.
Not certain from the listing — Although it enforces security policies (preventing hijacking and exfiltration), the listing does not detail its own access controls, compliance certifications, or audit logging capabilities.
Secra mitigates ecosystem-level risks by securing the communication path between agents and LLMs, preventing cascading failures caused by compromised agents or malicious inputs.
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.