DeepKeep has launched a first-of-its-kind AI Agent Scanner as part of its end-to-end AI security platform. This new solution maps the attack surface of AI agents within enterprise workflows, providing immediate visibility into what each agent can access, which tools and data sources it interacts with, and where potential vulnerabilities exist. The capability addresses the rapidly expanding risks introduced by non-deterministic, LLM-based agents that autonomously connect to business applications, collaboration platforms, operational systems, cloud services, and other agents.
Quick Intel
Mapping and Securing the Agentic Attack Surface
As enterprises deploy sophisticated, context-aware AI agents that interact autonomously with internal systems and external tools, the attack surface grows significantly. Unlike isolated AI applications, these agents can execute tasks that directly affect business operations, increasing exposure to breaches, data leakage, tool misuse, or unintended actions.
Traditional security tools lack the visibility needed for agentic workflows that span multiple frameworks and vendors without standardized threat descriptions. DeepKeep's AI Agent Scanner delivers a structured, comprehensive scan to reveal the full threat landscape—tool connections, data flows, and potential entry points—enabling security teams to understand exposure early in development and production.
The visual risk maps provide clear insights into agent behavior and vulnerabilities, aligned with the latest OWASP guidelines for agentic applications. This helps prioritize remediation and implement targeted defenses before risks materialize.
Runtime Protection and Ecosystem Support
In addition to discovery, the solution analyzes real-time agent behavior to recommend where AI firewalls, guardrails, and other protections should be applied. This proactive guidance strengthens runtime security without disrupting workflows.
Current support covers major agentic frameworks, allowing organizations to secure diverse deployments. DeepKeep's broader platform complements this with capabilities such as AI Firewall, Automated Red Teaming, Usage Control, and Model Scanning to protect multimodal AI systems throughout their lifecycle.
"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."
This launch equips enterprises to adopt agentic AI with greater confidence, maintaining safety, control, and trust as these systems become integral to business operations.
About DeepKeep
DeepKeep provides end-to-end AI security and trustworthiness across the full AI lifecycle. Its platform protects multimodal systems – including large language models and computer vision – helping enterprises deploy and use AI safely, accurately, and in compliance with security and privacy standards. With capabilities such as an AI Firewall, Automated AI Red Teaming, AI Usage Control and advanced Model Scanning, DeepKeep enables cybersecurity teams to defend against vulnerabilities, data leakage, hallucinations, and bias while maintaining trust in AI-driven operations. Founded in 2021 by Rony Ohayon and a team of cybersecurity experts, DeepKeep is dedicated to securing the future of enterprise AI.
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