DeepKeep highlighted for AI cybersecurity in Gartner 2025 report

DeepKeep has been recognised as a Sample Vendor in the 2025 Gartner Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report. The report highlights the company's technology, which is designed to address security risks arising from the rapid adoption of artificial intelligence in enterprise settings.

Rising AI vulnerabilities

Organisations are embedding artificial intelligence across business processes and products at a speed that often outpaces traditional cybersecurity defences. Recent industry figures indicate that 97% of organisations have experienced an AI-related security incident within the past year. The average cost of a data breach has risen to USD $4.44 million in this period.

The scale and variety of AI models being deployed have introduced new vulnerabilities. As companies incorporate large language models, multimodal systems, and autonomous agents, the need for AI-specific protections around data access, model output, and human interaction has grown substantially.

Platform features

DeepKeep offers a platform that provides end-to-end security for AI assets throughout their lifecycle, from development phases to live production environments. The company's core capabilities include model scanning, which checks for vulnerabilities in AI architectures, and automated AI red teaming to simulate cyber-attacks and test model resiliency.

The system also includes firewalls designed to safeguard the prompts and outputs of AI models, continuous performance monitoring, and governance controls over both autonomous agents and employee interaction with AI technologies.

Industry recognition

Rony Ohayon, Chief Executive Officer and Founder of DeepKeep, spoke on the company's recent inclusion in the Gartner report.

"We are proud to be recognized in the Gartner report. We believe that it highlights the central role AI-native security increasingly plays across the enterprise and our unique solution for ensuring its security and trust," said Rony Ohayon, CEO and Founder, DeepKeep. "AI is transforming how companies build, operate, and deliver their products - but without rigorous, dedicated safeguards, it creates serious vulnerabilities. DeepKeep allows organizations to embrace AI confidently and responsibly."

Market drivers

The deployment of artificial intelligence within enterprises is accelerating due to its flexibility in automating complex tasks and generating insights from large volumes of data. However, this has also led to the proliferation of new security risks, including data leakage, hallucinations, and bias in AI decision-making, compounding traditional cybersecurity challenges.

As a result, organisations are increasingly seeking technologies that can address AI-specific risks. DeepKeep's approach is positioned towards providing dedicated security measures for these emerging threats, aligning with the growing demand for enterprise-grade tools that focus specifically on AI rather than general IT security.

Compliance and governance

The regulatory environment for AI is also rapidly evolving. Enterprises are required to demonstrate responsible AI deployment and maintain compliance with stringent security and privacy standards. Solutions that offer visibility and control over how AI models are developed, tested, and operated are in greater demand.

DeepKeep's platform includes governance features intended to help organisations comply with regulatory requirements and internal risk frameworks when building and deploying AI systems at scale.

"AI is transforming how companies build, operate, and deliver their products - but without rigorous, dedicated safeguards, it creates serious vulnerabilities. DeepKeep allows organizations to embrace AI confidently and responsibly," said Ohayon.