Litespace — agentic threat model
Litespace presents moderate agentic risk primarily centered around the processing of sensitive candidate PII and potential bias in automated resume screening, exacerbated by its closed-source nature and lack of explicit security controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| 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 uses proprietary or third-party LLMs for resume screening and talent search, which are vulnerable to prompt injection (e.g., hidden text in resumes) and biased outputs.
Not certain from the listing — processes candidate resumes and talent profiles, creating risks of data exfiltration, privacy violations, or poisoning of candidate databases used for matching.
Not certain from the listing — orchestrates search and screening tools; vulnerable to insecure tool integration or prompt injection leading to unauthorized actions within the recruitment workflow.
Not certain from the listing — hosted as a closed-source SaaS; infrastructure security, sandboxing of resume parsers (which often process untrusted PDF/Word files), and secrets management are unknown.
Not certain from the listing — monitoring for bias, drift, or malicious resume payloads is not documented, creating potential blind spots in automated decision-making.
Not certain from the listing — handling of PII (resumes) requires strict compliance (GDPR, CCPA) and access controls, but no specific certifications or compliance frameworks are mentioned.
Not certain from the listing — potential integration with ATS (Applicant Tracking Systems) or job boards, risking cascading failures or unauthorized data sharing across platforms.
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.