DeepKeep has recently been recognized as a Sample Vendor in the 2025 Gartner Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report. This distinction highlights the company’s advanced technology, which is specifically designed to tackle the security risks associated with the rapid adoption of artificial intelligence in enterprise environments.
Escalating AI Vulnerabilities
The swift integration of AI into organizational processes and products has significantly outpaced traditional cybersecurity defenses. Alarmingly, recent statistics reveal that 97% of organizations have encountered an AI-related security incident within the past year, contributing to an increase in the average cost of a data breach, now estimated at USD $4.44 million.
As organizations deploy a diverse range of AI models—including large language models, multimodal systems, and autonomous agents—the spectrum of vulnerabilities has widened. This underscores the urgent need for AI-specific protective measures surrounding data access, model output, and human interaction.
Key Features of DeepKeep’s Platform
DeepKeep offers a robust platform that ensures end-to-end security for AI assets throughout their lifecycle, from initial development to live production environments. Among its core functionalities is model scanning, which identifies vulnerabilities in AI architectures, alongside an automated AI red teaming feature that simulates cyber-attacks to test model resilience.
The platform also includes specialized firewalls to protect the prompts and outputs generated by AI models, alongside continuous performance monitoring and governance controls for both autonomous agents and employee interactions with AI technologies.
Industry Recognition and Leadership
Rony Ohayon, the Chief Executive Officer and Founder of DeepKeep, expressed pride in the company’s inclusion in the Gartner report. He stated, “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. 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 and Demand for AI Security
The adoption of AI technologies in enterprises is accelerating, driven by the flexibility they provide in automating complex tasks and extracting insights from extensive data. However, this trend also ushers in a new set of security challenges, including issues like data leakage, hallucinations, and biases in AI decision-making, all of which complicate traditional cybersecurity measures.
As a result, organizations are increasingly in search of technologies that specifically address AI-related risks. DeepKeep’s strategy is aligned with this demand, focusing on providing security measures designed to tackle emerging threats, as opposed to general IT security solutions.
Compliance and Governance Challenges
The regulatory landscape for AI is evolving rapidly, with enterprises facing pressure to demonstrate responsible AI deployment and adhere to stringent security and privacy standards. Solutions that offer visibility and control over the development, testing, and operational phases of AI models are in heightened demand.
DeepKeep’s platform incorporates governance features that assist organizations in maintaining compliance with regulatory requirements and internal risk frameworks throughout the process of building and deploying AI systems at scale.
In summary, as AI becomes integral to business operations, companies like DeepKeep are stepping up to address the unique security challenges that arise, helping organizations leverage AI’s transformative potential while navigating the complex landscape of cybersecurity.
See also
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AI’s 2026 Landscape: Six Key Predictions on Cybersecurity and the Rise of Autonomous Agents
