As organizations across Africa adopt AI, automated tools and autonomous systems, the digital threat landscape is changing rapidly. Traditional security awareness training historically focused on bridging knowledge gaps, but today's most urgent challenges are fundamentally behavioral, and they involve more than just human employees.

Agent Risk Manager, KnowBe4’s AI agent security product in the KnowBe4 Platform, integrates with the Claude Compliance API to help organizations monitor Claude activity and detect risks in real time.

For years, cybersecurity has had a familiar villain: the external attacker. The hacker breaking through the firewall, stealing credentials or exploiting an unpatched vulnerability. It is the scenario we have trained for, built defenses around and spent decades trying to prevent.

Lead Analysts: Prabhakaran Ravichandhiran and Jeewan Singh Jalal

As a CISO advisor, I am observing a familiar pattern gaining a new, critical dimension. What we historically identified as "Shadow IT", the use of unapproved SaaS and tools, is rapidly evolving into "Shadow AI."

Employees are increasingly leveraging AI bots for drafting, analysis, code generation and strategic decision-making. While the intention is often to drive efficiency, the lack of governance creates a dangerous risk surface: sensitive data leakage, compliance violations and the potential for operational decisions based on unverified, AI-generated content.

AI agents offer unprecedented capabilities, speed, automation, deep context, and hyper-personalization, that will transform how we work. However, these same capabilities make AI agents significantly more dangerous than traditional software when hijacked by cybercriminals.

When we first introduced Agent Risk Manager, the response was clear: many security teams are actively looking for a way to secure the AI agents already running in their environment and how they can confidently adopt AI across their organization.

Future-proofing organizations in the face of AI requires a unified defense strategy that secures both the human workforce and autonomous AI agents. One of the key requirements is shifting security cultures from reactive compliance to proactive, measurable behavioral change.

The recent developments surrounding vulnerabilities in major AI repositories like Hugging Face serve as a critical wake-up call for the cybersecurity community. As we accelerate toward an agentic future, the platforms we rely on for innovation are increasingly becoming the primary vectors for systemic risk.

Cybercrime used to have a ‘"tell." It was the digital equivalent of a villain stroking their cat - clunky grammar, misspelt links and suspicious attachments that screamed ‘phishing’.