AI in cybersecurity: a challenge and a solution

In recent years, the cybersecurity industry has experienced an alarming rise in vulnerability disclosures. Jamie Thomas, IBM's Chief Client Innovation Officer for Enterprise Security, emphasized at the recent Linux Foundation Open Source Summit that around 66,000 unique vulnerability entries are expected to emerge by 2026. This represents a fourfold increase compared to seven years ago, posing serious challenges for professionals in the field.

## Why it matters This surge in vulnerabilities means that companies and developers must rapidly adapt to protect their systems. Artificial intelligence, while contributing to the complexity of the problem, can also provide effective tools to address these threats, creating an interesting dilemma in cybersecurity strategy.

## What we know Experts agree that cybersecurity needs to evolve at an accelerated pace. The pressure on developers and security professionals is higher than ever, and expectations continue to grow. AI can be part of the solution, helping to identify and mitigate vulnerabilities more efficiently.

## What remains unclear It is still unclear how companies will effectively integrate AI into their cybersecurity strategies. The lack of clarity on how to balance the use of artificial intelligence with vulnerability management is a challenge that the industry will need to address in the near future.