Monday, April 20, 2026
DeepKeep, an end-to-end AI security platform provider, has launched a new AI agent attack surface scanning and discovery solution designed to help organizations understand and secure the growing risks associated with agentic AI systems. The newly introduced AI Agent Scanner maps potential threats connected to each AI agent within enterprise workflows, providing businesses with clear visibility into vulnerabilities as AI adoption accelerates.
As organizations increasingly deploy non-deterministic, large language model (LLM)-based AI agents, these systems are gaining access to enterprise tools, applications, and sensitive data. Consequently, this growing integration is expanding the enterprise attack surface in ways that traditional cybersecurity tools were not originally designed to manage. To address this challenge, DeepKeep’s new solution enables security teams to identify and monitor risks associated with AI-driven workflows.
The AI Agent Scanner is designed to deliver immediate and actionable insights into how AI agents operate within enterprise environments. Specifically, it analyzes what resources agents can access, which external tools they interact with, and how they handle organizational data. By offering this level of transparency, the solution helps companies detect vulnerabilities early and take proactive steps to secure their AI ecosystems.
Importantly, AI agents are rapidly evolving beyond simple chatbots or assistants. These intelligent systems now function as context-aware enterprise tools capable of performing complex tasks and making operational decisions. In fact, industry forecasts suggest that AI agents could handle at least 15% of routine business decisions by 2028. Unlike standalone AI applications with limited interaction capabilities, modern agents often connect to collaboration platforms, financial systems, operational tools, cloud services, and other AI models. While this connectivity boosts productivity, it simultaneously creates new entry points for cyber threats.
Therefore, the need for specialized security frameworks is becoming increasingly critical. DeepKeep’s AI Agent Scanner addresses this emerging challenge by offering a structured approach to identify and manage security risks in agentic AI workflows. The system performs in-depth attack surface scanning to map an agent’s entire threat landscape, including connected tools, data sources, and potential weaknesses.
Additionally, the platform generates a visual risk map that highlights security insights aligned with the latest OWASP Top 10 for Agentic Applications. This mapping enables organizations to clearly understand how attackers could exploit vulnerabilities and what defensive actions should be implemented. As a result, businesses gain the ability to detect and manage risks earlier—both during the development phase and when AI agents are deployed in production environments.
Beyond discovery and mapping, the platform also introduces runtime protection for selected agentic frameworks. It analyzes agent behavior, data exposure, and tool access patterns to determine where AI firewalls and guardrails should be implemented. By doing so, the system helps security teams actively reduce operational risks while AI agents execute real business processes.
“AI agents are no longer operating in isolation; they're quickly becoming fundamental parts of entire business workflows, executing tasks that change how work gets done. But without proper safeguards, their expanding attack surface will rapidly become a massive enterprise liability,” said Yossi Altevet, CTO and Co-Founder of DeepKeep. “At DeepKeep, we are committed to securing agentic AI today and tomorrow, and that means innovating even faster than AI is evolving, starting with our new scanning solution, which offers the immediate visibility and protection businesses need to safely leverage agentic AI ecosystems.”
Currently, the solution supports several major agentic frameworks, including Microsoft-based frameworks, Agentforce, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, n8n, and Make. Looking ahead, DeepKeep plans to expand its AI security capabilities across the entire AI lifecycle by 2026, including the introduction of a red teaming solution. With the launch of the AI Agent Scanner, DeepKeep strengthens its portfolio of enterprise AI security tools, enabling organizations to adopt advanced AI technologies while maintaining safety, governance, and operational trust.
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