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Acuvity, a leading runtime generative AI security platform company, today announced the launch of RYNO, the first GenAI security platform purpose-built to deliver context-aware protection and adaptive risk management across users, applications, and AI-powered agents. As organizations rapidly embed generative AI into business workflows, RYNO gives security teams the clarity, control, and confidence they need to enable innovation without compromising trust or compliance.
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Led by former senior engineering executives from Palo Alto Networks, RYNO is emerging from stealth after years of development. Created in partnership with enterprise CISOs, AI architects, and platform engineers, RYNO introduces a new standard in AI security—one that understands how GenAI is actually used, and adapts in real time to evolving threats.
“GenAI introduces a fundamentally different risk profile—it’s fast, autonomous, and increasingly agentic,” said Satyam Sinha, Founder and CEO of Acuvity. “RYNO is the first platform that can understand intent, adapt to behavior, and protect sensitive data in real time. It’s security that thinks in context—just like AI does.”
Built on Context and Adaptability: RYNO’s Four Pillars of GenAI Security
RYNO’s architecture is anchored in context-driven security outcomes, enabling enterprises to safely adopt GenAI without slowing down innovation. The platform’s four core capabilities are:
- Full Spectrum Visibility – Real-time observability into GenAI usage across employees, applications, and agents—identifying shadow AI, usage blind spots, and emerging access risks.
- Adaptive Risk Engine – A continuously evolving risk framework that analyzes AI interactions to detect prompt injection, data leakage, unauthorized tool use, and more.
- Contextual Intelligence (Context IQ) – Goes beyond rule-based detection to understand why GenAI is being used—factoring in user intent, data sensitivity, application type, and risk posture.
- Dynamic Policy Engine – Flexible, real-time policy enforcement that automatically adjusts based on usage context, balancing protection with productivity.
This approach to Gen AI Security is already resonating with forward-thinking enterprises.
“Acuvity’s RYNO gave us exactly what we needed—granular, context-aware access controls, AI-specific threat detection, and real-time monitoring which ensures that people can safely use AI across our organization,” said Rutul Dave, Chief Technology Officer at Maxwell. “The integration with our identity systems was seamless, and the impact was immediate: reduced risk, full visibility, and confident compliance.”
Six Core Features Powering Enterprise-Ready GenAI Security
Acuvity’s RYNO delivers six advanced features designed to operationalize GenAI security across the full AI lifecycle:
- Shadow AI Discovery – Detects unsanctioned GenAI usage across browsers, applications, and developer tools.
- DLP++ – Redefines data loss prevention by using contextual inspection to detect and stop sensitive data leakage in real time.
- Threat Protection – Identifies prompt-based exploits, model abuse, and agent manipulation through intelligent risk analysis.
- AI Firewall – Provides runtime inspection and behavioral protection for model interactions and tool calls.
- AI Runtime Security – Protects GenAI agents and applications across development, testing, and production environments.
- MCP Security – Offers dedicated security for the Model Context Protocol, a growing backbone of agentic AI infrastructure.
RYNO Is Built for the Next Phase of AI Adoption
As GenAI systems become more autonomous and extensible, traditional security approaches fall short. RYNO meets this new moment with context, adaptability, and real-time protection—securing the future of AI where it lives: in the enterprise.
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