Cybersecurity analysts point out that we are seeing a departure from traditional approaches.

Traditional cybersecurity solutions have been limited to either time-driven or point-driven security, noted Faisal Kawooza, chief analyst at Techarc. This means they could only defend against cyberthreats that their systems had already recognized, understood, and formulated defenses against.

“As we see the world is heading to self-content where machines are now creating content, the self-defense mechanisms such as Precision AI is a natural progression and intersection of AI with the legacy digital and IT systems including cybersecurity,” Kawooza said.

Such a transition is essential now, according to Sharath Srinivasamurthy, associate VP at IDC. AI is here to stay and will drive massive innovation opportunities across the globe.

“AI in the hands of cyber criminals is turning out to be a bigger challenge,” Srinivasamurthy said. “AI-induced threats are increasing, and existing solutions may not sufficiently secure enterprises. Providing full visibility, proactive threat detection, data security, identifying vulnerabilities in AI models, and ensuring runtime security with AI will equip enterprises with more tools to combat AI-induced threats.”

Challenges to overcome

However, there are some challenges to overcome with this approach. For one, the use of AI itself comes with increased privacy concerns.