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Combining AI and Zero Trust isn't just a tech upgrade – it's a must-have strategy.
The move to mixed and work-from-home setups has made it easier for attackers to get in.
For CISOs, CIOs, CTOs and security leaders now is the time to act.
The combination of Artificial Intelligence (AI) and Zero Trust – where trust is not granted by default and every access request is thoroughly verified – is bringing about big changes in how businesses protect themselves online.
As AI changes the way we look at, create and use data – both to help companies become more effective and efficient and to enable cyber criminals to launch attacks – organisations need to move away from old-school security that only guards the perimeter. Instead, they should focus on protecting specific assets and data.
This article looks at how AI and Zero Trust work together and examines how ongoing user checks with adaptive security policies, and AI-powered threat detection and intelligence can boost defenses when people work from home or in mixed office-home setups.
The rise of AI has opened new ways to boost creativity and get more done. But it's also made data more valuable, turning it into a prime target for hackers. Old-school network protection like firewalls and fixed access policies just can't keep up with how AI-based applications and infrastructure change and do unexpected things. Instead, a Zero Trust approach gives the tough base needed to protect today's digital assets. As discussed previously, AI changes both what we need to protect and how we protect it, forcing us to rethink how we handle security.
At its heart, Zero Trust matches well with AI's focus on data and ability to adapt. AI works best when high-quality data gets classified, encrypted and continuously monitored – goals that Zero Trust aims to achieve. This teamwork manifests in several ways:
Better automation: AI can accelerate the implementation of Zero Trust principles by automating routine security tasks, such as identifying and organising data or detecting threats in real time. This frees up security teams to focus on managing risks and addressing issues as they arise.
Deeper understanding: By looking at huge amounts of data, AI helps find small clues that might suggest a breach. This know-how not only makes Zero Trust defense areas stronger but also helps make security policies better over time.
Adaptive security: AI-driven operations change, so security measures need to keep up. Zero Trust, with its emphasis on continuous verification, least privilege access with adaptive policies, and the assumption of a breach principle, evolves alongside AI to tackle new and emerging threats.
As cybersecurity evolves, we need to make sure that access isn't just a one-time check but an ongoing process. By integrating AI with continuous user authentication, companies can monitor user behavior in real-time and adjust security rules based on changing risks. This approach ensures that every access request is verified as it occurs, reducing the likelihood of unauthorized access – even if someone has stolen login credentials. This kind of authentication that uses AI fits well with Zero Trust principles creating a system where every user session gets looked at and controlled as needed, which makes the company's security stronger overall.
The move to mixed and work-from-home setups has made it easier for attackers to get in. With staff using company resources from all sorts of places and devices, the old ways of keeping things safe don't work as well. This is where AI-powered threat detection along with monitoring solutions to monitor shadow IT and shadow AI becomes important. Advanced algorithms continuously monitor user behavior and network activity spotting anything suspicious across all these systems and services. This up-to-the-minute info helps security teams find weak spots and act fast making sure there are good security measures no matter where people are working from. By putting these AI-driven solutions together with Zero Trust principles, companies can keep strong defenses even in highly decentralised work settings.
Security leaders protecting complex digital environments find that combining AI and Zero Trust isn't just a tech upgrade – it's a must-have strategy. Key considerations include:
The journey to combining AI and Zero Trust strategy does present challenges. Legacy systems, ever-changing AI advancements and the complexity of modern threat landscapes can pose significant hurdles. However, the upsides of combining these approaches are many. By harnessing AI’s capabilities to accelerate security processes while adhering to Zero Trust principles – and incorporating continuous authentication, adaptive policies and real-time threat detection and intelligence – businesses can not only mitigate risks but also create a secure environment that fosters innovation.
The strong synergy between AI and Zero Trust presents a compelling vision for the future of enterprise cybersecurity. As AI continues to reshape business operations and mitigate cyber risks, adopting a Zero Trust approach with explicit verification and AI-powered threat intelligence ensures that security remains a priority – not an afterthought. Instead, it becomes an integral part of your strategy, staying one step ahead of emerging threats.
For Chief Information Security Officers (CISOs), Chief Information Officers (CIOs), Chief Technology Officers (CTOs) and security leaders, now is the time to act. By embracing this dual approach, your business will be ready to navigate the complexities of the digital age with confidence, resilience and an adaptive security posture.
If you would like to learn more about how to boost your security with this dual approach, contact Pouya Koushandehfar.
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Pouya Koushandehfar
Senior Manager, PwC Australia
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