One-quarter of UK companies do not have a documented strategy to tackle threats related to Generated AI (Genai).
The challenge is not just to maintain the pace of evolution of the generator AI. Let’s go further. When AI-based threats can evolve and spread at machine speed, many security teams collect threat data from different systems, like puzzles. It’s not just ineffective: it’s totally dangerous.
Training paradox
Most security teams acknowledge that human error remains a major vulnerability. This is why the majority of them have fought against social engineering to prevent training in their first defense against sophisticated attacks. Today, it is the most popular protection measure against AI-based threats.
Anti-crimination training is essential, especially when we see the unwillingness of the number of collaborators confined to increasingly sophisticated phishing and intended exploitation routes.
However, excellent employee training is not enough. This will use yesterday’s tools to counter today’s threats.
Beyond traditional defense
As the power of generator AI develops, it creates new attack areas much faster than traditional security measures cannot adapt. As I said, old reactive safety measures and silo protection are no longer adapted. So, what should you do? In short, a global approach to exposure management that addresses both immediate threats and systematic vulnerabilities must be adopted.
What does that actually mean? Security teams need to completely rethink their approach. This means working on important concepts and the following:
Continuous monitoring and evaluation
Traditional security assessments cannot maintain the pace of threats based on AI. Companies need real visibility across the attack surface, from traditional assets to new AI systems. To do this, you need to implement continuous monitoring that goes beyond planned vulnerability analysis and allows you to detect and eliminate threats that are emerging.
Eliminate data silos
These fragmented security and IT data stores? They are not only annoying but dangerous. 63% of businesses report that data silos will increase security response times. Therefore, you need to have a uniform visibility. It’s not only a bonus, but it’s a critical security requirement when faced with sophisticated threats that could use failures between different systems.
Database Security Response
Faced with AI-based threats, your instincts and experience are not sufficient. Security teams need thorough data visibility to identify patterns and anomalies that point to the emergence of threats.
What are you waiting for?
Generation AI is not just about new technological trends to monitor. It actively changes the threat landscape. The improved time of documented strategies, unified security visibility, and threat detection are already there. It’s time to stop asking if your business must adapt to IA-related security issues. Start looking for a quick and effective way to do it.
