Executive Summary
SentinelOne reports a range of AI security risks affecting models and AI APIs, including sensitive-content retrieval, crafted-input manipulation, and insecure endpoint exploitation. Organizations operating LLM applications or AI agents should prioritize model, data, and API security controls.
What Happened
SentinelOne catalogs major AI security risks such as data poisoning, model inversion, adversarial examples, privacy leakage, backdoor attacks, model stealing, evasion attacks, and API exploitation.[6] It highlights how attackers can retrieve sensitive text content from models, manipulate outputs via crafted inputs, and exploit insecure endpoints, and recommends mitigations like strong data validation, model encryption, multi-factor authentication, and differential privacy frameworks.[6]
Vulnerability / Attack Technique
Model inversion and API exploitation
Technical Mechanism
Model inversion can allow attackers to retrieve sensitive text content from models. Crafted inputs may manipulate model outputs, while insecure endpoints can be exploited to access or misuse AI functionality.
AI Security Category
LLM02:2025 Sensitive Information Disclosure
Relevant Frameworks
RealGround Analysis
These risks matter to teams running AI agents or LLM applications because exposed model outputs, poisoned data, manipulated inputs, and insecure APIs can undermine confidentiality and reliability. RealGround would assess model and endpoint protections, input and training-data validation, authentication, and privacy safeguards.
Recommended Controls
- Apply strong validation to training data and user inputs
- Encrypt models and sensitive model-related data
- Enforce multi-factor authentication for AI service endpoints
- Evaluate and apply differential privacy frameworks where appropriate
- Conduct security readiness and business-logic assessments for AI applications
Related RealGround Service
AI Security Readiness Assessment · or start with the free AI Agent Security Scanner.
Sources
SentinelOne: https://www.sentinelone.com/cybersecurity-101/data-and-ai/ai-security-risks/
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.