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AI evolution revolutionises cybersecurity, says Palo Alto Networks

Wed, 14th Aug 2024

The rapid expansion of artificial intelligence (AI) is reshaping every aspect of the technology sector, with significant implications for both cybercrime and cybersecurity. As AI technologies advance, cybercriminals are harnessing them to create more sophisticated ransomware, devise evasive phishing schemes, and develop adaptive botnets. At the same time, AI-powered cybersecurity systems are revolutionising threat detection and response with unprecedented speed and accuracy.

Palo Alto Networks, a global player in cybersecurity, is at the forefront of this transformative era. Misti Landtroop, Managing Director of Palo Alto Networks New Zealand, offers valuable insights into how AI is influencing cybersecurity and presents predictions on the future of this dynamic field. “AI is profoundly altering the landscape of cybersecurity,” says Landtroop. “As cyber threats become more sophisticated, AI is not only enhancing the capabilities of attackers but also providing defenders with powerful new tools to combat these threats.”

Here is what to look out for on AI and cybersecurity:

AI-Enhanced Threat Detection and Prevention: Cybercriminals are increasingly using AI to innovate and evade traditional security measures by combining tactics in novel ways. Conversely, AI enables defenders to detect and prevent these novel attacks more effectively.

Natural Language Integration in Security Operations: Generative AI will facilitate easier interaction with data, bridging the gap between analysing threats and developing analytical systems. This advancement will streamline security operations and improve overall effectiveness.

Expanded Scope of Data Analysis: AI will enhance the ability to analyse diverse data sets for better threat detection and prevention. For instance, integrating HR system data can verify the legitimacy of users accessing Zero Trust networks, thereby strengthening security measures.

Scaling Security Operations with AI Automation: In response to the long-standing talent shortage in cybersecurity, AI automation offers a solution to scale security operations efficiently without the need for additional personnel.

Prioritising AI Model Security: As AI models, including large language models, become more prevalent, ensuring their security will be crucial. Protecting these models from exploitation will require innovative security measures and a fresh perspective on access control.

In line with these predictions, Palo Alto Networks has recently launched Precision AI, an advanced AI system that integrates machine learning, deep learning, and generative AI. This technology is designed to address emerging cybersecurity challenges and enhance resilience against evolving threats.

“With the introduction of Precision AI, we are setting a new standard in cybersecurity,” adds Landtroop. “Our goal is to empower organisations to stay ahead of cyber threats and adapt to the rapidly changing digital landscape.”

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