SAN FRANCISCO — April 10, 2026 | Opsin has been recognized in four categories in the OWASP GenAI Security Solutions Landscape Q2 2026 for AI and Agentic Red Teaming, a leading industry framework mapping how enterprises secure AI systems across the full lifecycle.
Opsin's recognition spans the Deploy, Operate, Monitor, and Govern categories, reflecting a broader shift in how the market is evaluating AI security platforms.
For investors and operators tracking the AI security category, this signals an important transition: AI security is no longer being treated as a point solution., but continuous, behaviorally attuned, and context rich.
Frameworks like OWASP are reinforcing that real enterprise risk emerges across how AI systems connect to data, behave at runtime, and evolve in production. This is pushing the market toward platforms that can address continuous, context-driven risk, and remediation rather than isolated controls.
Opsin’s inclusion across multiple lifecycle stages aligns with this direction. The company focuses on analyzing AI interactions across data, identity, and system behavior to make enterprise AI risk measurable and actionable.
As enterprises accelerate adoption of copilots and AI agents, this category is moving quickly from experimentation to operational necessity.
SAN FRANCISCO — April 10, 2026 | Opsin has been recognized in four categories in the OWASP GenAI Security Solutions Landscape Q2 2026 for AI and Agentic Red Teaming, a leading industry framework mapping how enterprises secure AI systems across the full lifecycle.
Opsin's recognition spans the Deploy, Operate, Monitor, and Govern categories, reflecting a broader shift in how the market is evaluating AI security platforms.
For investors and operators tracking the AI security category, this signals an important transition: AI security is no longer being treated as a point solution., but continuous, behaviorally attuned, and context rich.
Frameworks like OWASP are reinforcing that real enterprise risk emerges across how AI systems connect to data, behave at runtime, and evolve in production. This is pushing the market toward platforms that can address continuous, context-driven risk, and remediation rather than isolated controls.
Opsin’s inclusion across multiple lifecycle stages aligns with this direction. The company focuses on analyzing AI interactions across data, identity, and system behavior to make enterprise AI risk measurable and actionable.
As enterprises accelerate adoption of copilots and AI agents, this category is moving quickly from experimentation to operational necessity.
