AI Is Changing How Attackers Operate, Too

Artificial Intelligence is transforming how organizations operate. However, it is also fundamentally changing the way attackers operate.

Over the past year, we've witnessed organizations adopting GenAI tools, autonomous AI agents, and advanced models at an unprecedented pace. What began as a mere helper for code writing or information retrieval is rapidly becoming an integral part of business, operational, and development processes.

Yet, unlike traditional systems, AI systems introduce an entirely new attack surface.

The Evolving Threat Landscape in AI

In the world of AI, the challenge extends beyond exploiting an operating system vulnerability or excessive permissions. Attackers are now attempting to influence the very thinking and behavior of the AI model itself.

For instance, Prompt Injection attacks allow an attacker to make the model disregard its original instructions and perform unintended actions. In other cases, sensitive information might be exposed through seemingly innocent conversations, or an AI agent with overly broad permissions could execute business operations without sufficient oversight.

Simultaneously, many organizations integrate open-source models without fully understanding the inherent risks within the AI supply chain. Much like the software world, models can also contain malicious code, backdoors, or vulnerabilities that enable system compromise after deployment.

Comprehensive AI Security is Crucial

Therefore, AI security must address the entire lifecycle of the system:

• Securing the models themselves
• Protecting prompts and responses in real-time
• Proactive Red Teaming to identify vulnerabilities
• Managing and securing AI Agents
• Detecting Shadow AI and unauthorized use of AI tools

The Shift Towards Specialized AI Security Platforms

One of the interesting trends we are currently observing in the market is the shift from general security solutions to specialized platforms designed for AI environments. These platforms provide visibility, control, and protection across all layers of the system.

Solutions like Palo Alto Networks' Prisma AIRS were built precisely with the understanding that AI is no longer just another application within the organization; it's a new work environment that generates novel risks and demands a new approach to security.

The discussion is no longer whether an organization will use AI. The real question is whether it will be able to secure it as quickly as it adopts it.