KnowBe4 Launches Agent Risk Manager to Secure AI Agents Across Enterprise Networks

As AI agents move from experimental tools to active participants in enterprise workflows, a critical new security blind spot has emerged — and GCC organizations are squarely in its path.

KnowBe4, the Dubai-present cybersecurity platform trusted by more than 70,000 organizations worldwide, has announced the launch of Agent Risk Manager — positioning it as the industry's first defense system specifically engineered to secure, monitor, and govern the behavior of autonomous AI agents. The announcement was made from the UAE and carries direct implications for enterprises across the Gulf that are rapidly embedding agentic AI into core business operations.

The Agentic Paradox

The problem KnowBe4 is addressing is one security teams in the GCC are increasingly confronting: AI agents require broad system access to be useful, but that same access creates a new class of enterprise risk. Unlike traditional software, autonomous agents can take multi-step actions, interact with APIs, process sensitive data, and make decisions — all without human intervention at each step. A compromised or manipulated agent doesn't just expose data; it can act on that exposure in real time.

"The industry has spent years securing the human element, but today, AI agents are the newest members of our workforce," said Greg Kras, Chief Product Officer at KnowBe4. "Our Agent Risk Manager focuses on the output and actions of these agents, ensuring that as they move through your network, they do not become the ultimate shadow IT or a backdoor for sophisticated prompt injection attacks."

What Agent Risk Manager Does

The platform operates as a real-time governance layer sitting between deployed AI agents and enterprise systems. Key capabilities include:

• Prompt Injection Detection: Machine learning analysis that identifies jailbreaks, logic overrides, and indirect injections across user messages and tool outputs — a critical defense given the rise of indirect prompt injection as an enterprise attack vector.
• Sensitive Information Detection: Over 20 classifiers scan for PII and credentials, automatically redacting sensitive data before it reaches audit logs.
• Behavioral Guardrails: Real-time monitoring prevents unauthorized data exfiltration or autonomous execution beyond defined parameters.
• Agentic Identity Governance: Maps the tools and access permissions each deployed agent holds — providing the visibility gap that most enterprise security teams currently lack.
• Adversarial Simulation: Stress-tests AI agents against current prompt injection and social engineering tactics, built on 15 years of KnowBe4's behavioral data.
• Agent Inventory: Automatically catalogs all agents and tools across tenants without manual input — particularly valuable for organizations running multi-cloud environments, which is common across GCC enterprises leveraging providers like AWS, Microsoft Azure, and Google Cloud.
• Unbounded Consumption Detection: Flags runaway agents consuming excessive API calls or compute resources — an operational risk as much as a security one.

Why This Matters for GCC Enterprises

The Gulf's enterprise AI adoption curve is accelerating. Saudi Arabia's Vision 2030 digital infrastructure push, the UAE's National AI Strategy, and widespread cloud migration across the region mean that agentic AI deployments are no longer future-state — they are live, and in many cases ungoverned. For security and compliance teams navigating frameworks such as the UAE Cybersecurity Council's guidelines or Saudi Arabia's National Cybersecurity Authority (NCA) standards, Agent Risk Manager's compliance-ready audit log and identity governance features are particularly relevant.