HRnov AI — agentic threat model
HRnov AI (Talexa) presents a moderate security risk primarily centered on the processing of sensitive candidate PII and the threat of indirect prompt injection via untrusted resume uploads. The lack of explicit security certifications or sandboxing controls in the listing highlights potential compliance and data privacy exposure.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 standard LLMs for generating job offers and structured interview questions. The primary threat is indirect prompt injection via adversarial text embedded in candidate resumes, which could manipulate the model's evaluation or generation logic.
Not certain from the listing — processes highly sensitive candidate data, resumes, and assessment results. Threats include data exfiltration of PII, unauthorized access to candidate boards, and vulnerabilities in the resume parsing pipeline (e.g., malicious file uploads).
Not certain from the listing — orchestrates workflows for candidate tracking, automated assessments, and analytics. Vulnerabilities may exist in how the framework integrates parsing tools and handles state transitions across the hiring pipeline.
Not certain from the listing — hosted platform offering API access and white-label capabilities. Key threats include multi-tenant isolation failures allowing one agency to access another's candidate data, and standard web/API security flaws.
Not certain from the listing — provides analytics dashboards for pipeline health, but lacks details on guardrails to detect bias in automated assessments or drift in predictive hiring insights.
Not certain from the listing — handling HR and recruitment data carries heavy regulatory burdens (GDPR, CCPA, and local employment laws). No specific compliance certifications, access control mechanisms, or audit logging are detailed in the listing.
Not certain from the listing — operates as a centralized platform and API rather than a multi-agent ecosystem; risk of cascading agent-to-agent failures is low unless integrated with external HR marketplaces.
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.