1/4 of the United Kingdom companies has no documented strategy to tackle threats linked to generative AI (GENAI).
The challenge is not only to keep the pace of the evolution of the generative AI. It goes further. At a time when AI -based threats can evolve and spread at machine speed, many security teams are still gathering threat data from disparate systems, as for a puzzle. It’s not just ineffective: it’s downright dangerous.
The paradox of training
Most security teams admit that human error remains a major vulnerability. This is why the majority of them have made anti -mailimning training their first line of defense against attacks sophisticated by social engineering. It is today the most popular protection measure against threats based on AI.
The antihaezing training is essential, especially when we see the number of times well -intentioned collaborators involuntarily create exploitation routes by getting trapped by an increasingly sophisticated phishing.
But good training of employees is not enough. This amounts to using yesterday’s tools to combat today’s threats.
Beyond traditional defenses
As the capacities of the generative AI develop, they create new attack areas much faster than traditional security measures cannot adapt. As I said, the old reactive safety measures and the silos defenses are simply no longer adapted. So what should you do? In short, we must adopt a global approach to exposure management, which deals with both immediate threats and systemic vulnerabilities.
What does that mean in practice? The security teams must fully rethink their approach, and this implies tackling key concepts, as well as the following:
Continuous monitoring and evaluation
Traditional periodic security assessments cannot keep the pace of threats based on AI. Companies need real -time visibility of their entire attack surface, from traditional assets to new AI systems. To do this, you have to go further than planned vulnerability analyzes, and implement continuous monitoring capable of detecting and eliminating threats as they emerge.
Eliminate data silos
These fragmented security and IT data stores? They are not only annoying … they are dangerous. 63 % of companies report that data silos increase their security response times. It is therefore necessary to have unified visibility. It is not only a bonus: it is a requirement of critical security in the face of sophisticated threats likely to use the faults between the different systems.
Data -based security responses
Faced with threats based on AI, instinct and experience are not enough. Security teams need exhaustive visibility of data in order to identify the patterns and anomalies that point out the emergence of threats.
What are you waiting for?
Generative AI is not just a new technological trend to monitor. It actively reshapes the landscape of threats. The time for documented strategies, unified visibility of security and improved detection of threats will not come, it is already there. It’s time to stop asking if your business will have to adapt to IA -related security problems. Start looking for how to do it quickly and effectively.
