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As businesses increasingly rely on digital infrastructures, the threats that aim to exploit these technologies also evolve. It’s no longer just about safeguarding against unauthorized access; it’s about understanding and mitigating the complex risks introduced by AI and machine learning—topics I’ve often discussed, emphasizing the need for an advanced cybersecurity strategy that evolves as quickly as the technologies it aims to protect.
During a recent panel hosted by Netskope’s partner Commvault, I highlighted how AI is not only a tool for development but also a potential threat vector that organizations must vigilantly monitor and manage. As AI technologies become more integral to our systems, they also become part of the threat landscape. This duality of AI presents a unique challenge for cybersecurity professionals. We must ensure that as we harness AI to improve our services, we are not unwittingly opening new doors for attackers.
Integrating AI responsibly and securely
At Netskope, our approach to integrating AI into our security framework is guided by a principle of ”security by design.” This means AI is not just implemented on a whim but is carefully planned and aligned with our overall security strategy. For instance, the use of machine learning models to detect anomalous behavior within network traffic has been a game-changer in identifying potential threats early. However, this technology requires constant refinement and oversight to ensure it does not generate false positives or overlook new types of attacks.
The conversation about AI in cybersecurity isn’t just about prevention but also about preparation and response. As AI becomes a more common tool for attackers, including those engaging in phishing and social engineering, it is imperative that our defenses can anticipate and counteract these AI-driven threats. This is not just a technical requirement but a strategic one, involving a comprehensive understanding of how AI can be used and misused.
Collaboration across departments
One of the key points I’ve raised in discussions is the need for increased collaboration across all levels of an organization when it comes to implementing and managing AI-driven tools. Cybersecurity is no longer confined to IT departments alone. It requires an integrated approach that includes legal, compliance, and operational teams. This cross-departmental collaboration ensures that AI tools are used responsibly and that all potential risks are addressed from multiple perspectives.
Furthermore, I have advocated for the use of common business terms when discussing cybersecurity risks related to AI. By reframing technical vulnerabilities as ”defects,” for instance, we can facilitate better understanding and engagement with non-technical stakeholders, such as board members or executive teams. This not only enhances the strategic management of these risks but also aligns cybersecurity more closely with business objectives.
Looking ahead
As we look forward, the role of a CISO is going to evolve. It must, in order to address the emerging challenges posed by AI and other advanced technologies. This means staying informed about the latest developments in AI, participating in industry discussions, and perhaps most importantly, fostering an organizational culture that recognizes the importance of cybersecurity in everything we do.
We can embrace these challenges and transform them into opportunities for innovation and improvement while leading our organizations toward more secure digital futures at the same time. It’s not easy and requires diligence, foresight, and a proactive approach to security that I am committed to championing at Netskope.
For more on how we do this, read our joint solution brief with Commvault here.
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