Fyxer AI — agentic threat model
Fyxer AI presents a moderate-to-high risk profile due to its deep integration with sensitive communication channels (email and meetings) and its continuous learning from user data, which exposes it to indirect prompt injection and data exfiltration threats, partially mitigated by its SOC 2 and ISO 27001 compliance.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.40 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 relies on third-party foundation models (e.g., OpenAI, Anthropic) for email drafting and summarization. The primary threat is indirect prompt injection via incoming emails, which could manipulate the model into drafting malicious responses or leaking sensitive context.
Not certain from the listing — utilizes user emails, interactions, and meeting notes to build a personalized knowledge base. This creates a high risk of data poisoning if malicious emails are ingested into the learning loop, as well as potential data exfiltration of sensitive inbox contents.
Not certain from the listing — orchestrates tasks like inbox labeling, drafting, and note-taking. Vulnerabilities include insecure tool integration with email APIs (IMAP/SMTP/Graph) and memory poisoning where malicious instructions in an email persist in the agent's long-term context.
Not certain from the listing — likely hosted in a cloud environment to support continuous email monitoring. Key threats include the exposure of OAuth tokens or API keys that grant access to users' email and calendar systems.
Not certain from the listing — likely monitors draft generation and user corrections. A major gap is the potential lack of real-time guardrails to detect and block indirect prompt injections embedded in incoming emails before they reach the LLM.
Fyxer AI explicitly claims ISO 27001 and SOC 2 Type 1 compliance, indicating established organizational security controls, data encryption, and access management policies to protect user data.
Not certain from the listing — primarily operates as a single-agent assistant, though it adapts to team communication styles. The main ecosystem threat is lateral trust abuse, where a compromised team member's email style or account could be used to influence the agent's behavior across the organization.
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.