FAQs

PointGuard AI was founded as AppSOC in 2022. It rebranded in 2025 to reflect its expanded focus on AI Security and Governance, building on its foundation in Application Security Posture Management (ASPM).

PointGuard AI is the only platform that secures both AI systems and traditional application stacks. It uniquely integrates AI Security and ASPM, offering full lifecycle protection—from source code and open-source packages to models, agents, and connected apps—with automated remediation and policy enforcement.

AI Supply Chain Security protects the third-party code, models, data, and dependencies used in building and deploying AI systems. It ensures that vulnerabilities in open-source components or pre-trained models don’t compromise the security or integrity of AI-powered applications.

Risk-Based Vulnerability Management (RBVM) is the practice of prioritizing vulnerabilities based on business impact, exploitability, and context—not just severity scores. It helps organizations reduce alert fatigue, focus remediation efforts, and improve security posture by addressing the risks that matter most.

Application Security Posture Management (ASPM) is a unified approach to managing software vulnerabilities across the entire development lifecycle. It consolidates findings from multiple security tools, reduces noise, prioritizes threats based on business risk, and automates remediation workflows to improve visibility, response, and governance.

AI Runtime Detection & Response monitors AI prompts and responses in real time to detect and prevent threats like data leaks, prompt injection, and misuse. It enforces policy inline and automates mitigation through integrations with enterprise ticketing and alerting systems.

Automated AI Red Teaming is the use of simulated attacks to test the resilience of AI models against adversarial threats. It proactively identifies vulnerabilities—such as jailbreaks, prompt injection, or toxic output—helping organizations strengthen model security before deployment.

AI Security Posture Management (AI-SPM) is the continuous monitoring and protection of AI systems to detect misconfigurations, vulnerabilities, and threats. It automates remediation, enforces compliance, and strengthens resilience across MLOps platforms—ensuring secure, trustworthy, and compliant AI development at every stage.

AI Discovery is the process of automatically identifying and cataloging AI-related assets—such as models, datasets, notebooks, and APIs—across development platforms. PointGuard AI Discovery helps organizations gain visibility, manage AI risk, and streamline governance by continuously monitoring their AI footprint across MLOps environments.