CalypsoAI has been recognized as a Sample Vendor in AI Security and Anomaly Detection technology in the Gartner® Hype Cycle™ for Application Security, 2024. It is also recognized as a Sample Provider in the recent 2024 Gartner Emerging Tech: Secure Generative Communication for LLMs and AI Agents report.
Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities.
According to the Hype Cycle report, “Generative AI (GenAI) has driven a massive influx of new business initiatives involving applications based on one or more AI models. These applications, especially public-facing ones, require specialized controls to mitigate risks that could impact the organizations. AI security and anomaly detection helps mitigate content anomaly by monitoring the model for out-of-policy, data leakage, performance drift, biased or toxic model input or output.”
At CalypsoAI, we believe that although GenAI is still a nascent field, the speed of its evolution is relentless and models become outdated in a matter of months. Investing in broad-spectrum security solutions that are provider- and model-agnostic can enable organizations to future-proof their AI initiatives by ensuring infrastructure support for emerging models. Our security platform for GenAI models exemplifies such a tool, featuring state of the art detection tooling, full model observability, customizable policy-based access controls, comprehensive monitoring and auditability, and dynamic threat response. This degree of adaptability is critical to ensure long-term security as the AI landscape continues to change. And that is a strategic advantage for every organization intending to remain competitive.
Click here to schedule a demo of our security platform for GenAI.
Gartner, Hype Cycle for Application Security, 2024, By Dionisio Zumerle, 29 July 2024.
Gartner, Emerging Tech: Secure Generative Communication for LLMs and AI Agents, By Evan Zeng, Lawrence Pingree, 12 June 2024.
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