Compare Prisma AIRS vs. Tangerin AI

Prisma AIRS AI Runtime Security is a specialized solution aimed at safeguarding applications, agents, models, and data that utilize LLM technology during their operational phases, providing real-time oversight, assurance, and governance throughout the AI lifecycle. This system continuously observes AI behavior, implementing protective measures that identify and mitigate threats which conventional security tools often overlook, such as prompt injection, harmful code, toxic outputs, data leakage, and unauthorized or unsafe actions. It empowers organizations to uncover all AI assets in operation, including shadow AI, while gaining insights into the interactions among agents, applications, and models across various environments. By consistently evaluating risk through the testing of AI systems, managing permissions, and monitoring the security posture in real-time, it incorporates controls that prevent manipulation and exposure during runtime engagements. With its adaptive defense mechanism, it protects against both evolving threats and zero-day vulnerabilities, leveraging real-time analysis of inputs, outputs, and execution processes. Ultimately, this innovative solution enhances an organization's ability to maintain a secure AI framework while promoting trust and compliance in AI deployments.

Tangerin AI serves as a governance platform for artificial intelligence in Brazil, addressing a critical issue that many organizations struggle to resolve: identifying which AI tools—whether officially sanctioned or not, often referred to as Shadow AI—are employed within the organization, who is using them, the associated data risks, and the evidence required for auditing purposes. The data collection process can be accomplished in two distinct ways: through a lightweight endpoint agent compatible with Windows, macOS, and Linux, or through the agentless ingestion of existing logs from Next-Generation Firewalls (NGFW), Secure Service Edge (SSE), and Security Information and Event Management (SIEM) systems. Each signal collected is matched against a unique catalog containing over 6,000 AI tools, detailing aspects such as data risk, processing location, retention policies, and intended uses. Furthermore, every tool is categorized based on established policies as either permitted, restricted, or banned; employees are required to digitally acknowledge the AI usage policy, and the compliance module encompasses 24 different frameworks, including LGPD, ISO 42001, EU AI Act, GDPR, and ISO 27001, complete with automatic evidence crosswalks and views tailored for external auditors. In addition to tracking which AI tools are utilized, the platform logs the timing of usage and the specific workstation involved, while deliberately excluding any conversation content, prompts, or files from its records. This approach reflects a deliberate architectural choice rather than a mere configuration adjustment.