Acuvity, a leading runtime generative AI security platform company, has officially announced the launch of RYNO, which happens to be the first ever GenAI security platform, geared towards delivering context-aware protection and adaptive risk management across users, applications, and AI-powered agents.
According to certain reports, Acuvity created RYNO in close collaboration with enterprise CISOs, AI architects, and platform engineers, all for the purpose of bringing forth a new standard in AI security. The stated standard, on its part, will be tasked with the responsibility of generating understanding around 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.”
Talk about the whole value proposition on a slightly deeper level, we begin from the promise of full spectrum visibility. This translates to real-time observability into GenAI usage across employees, applications, and agents, something which can identify shadow AI, usage blind spots, and emerging access risks.
Next up, we have the availability of an adaptive risk engine, capable of effectively analyzing AI interactions to detect prompt injection, data leakage, unauthorized tool use, and more.
Another detail worth a mention relates to contextual intelligence. You see, RYNO arrives on the scene boasting an ability to go beyond rule-based detection, and therefore, understand why GenAI is being used. To achieve that objective, it takes into account factors like user intent, data sensitivity, application type, and risk posture.
Then, we have a dynamic policy engine coming into play. This particular engine delivers at your disposal flexible real-time policy enforcement which automatically adjusts based on usage context, balancing protection with productivity.
Among other things, we ought to mention that Acuvity’s RYNO delivers, in particular, six advanced features, designed to operationalize GenAI security across the full AI lifecycle.
These features include Shadow AI Discovery, focused on detecting unsanctioned GenAI usage across browsers, applications, and developer tools.
Next up, we have the feature of DLP++. DLP++ actively leverages contextual inspection to detect and stop sensitive data leakage in real time.
Alongside that, we have a component revolving around threat protection. This component, in essence, identifies prompt-based exploits, model abuse, and agent manipulation through intelligent risk analysis.
An AI Firewall functionality follows suit to provide runtime inspection and behavioral protection for model interactions and tool calls.
The penultimate feature showcases RYNO’s AI runtime security. As a result, the technology is able to protect GenAI agents and applications across development, testing, and production environments.
Rounding up highlights would be the solution’s bid to conceive MCP security, where RYNO offers dedicated security for the Model Context Protocol, which happens to be a growing backbone of agentic AI infrastructure.
“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.”
