The Dual Role of AI in Cybersecurity — How to Navigate the Double-Edged Sword

AI has become a cornerstone in cybersecurity. Its ability to analyze vast amounts of data and identify patterns makes it an invaluable tool for detecting and mitigating cyberthreats. But there’s a flip side. Cybercriminals are using the same technology to launch increasingly sophisticated and elusive attacks. This duality presents a complex challenge: How should we deal with the fact that AI is both a powerful ally and a formidable adversary?

Three leading ways cybercriminals are using AI

From new advanced phishing practices to developments in malware to evasive techniques, AI is giving cybercriminals new and more sophisticated ways to attack. These are the leading three methods we have to defend against now.

1. Advanced phishing and social engineering - In the last few years, we’ve seen AI revolutionize traditional phishing and social engineering tactics. The days of typos and awkward sentence structure in suspicious emails are over. Cybercriminals now deploy AI to generate highly convincing phishing emails and messages tailored to individual targets.

   By analyzing social media profiles and online behavior, AI can craft personalized messages that significantly increase the likelihood of a successful attack. Humans can no longer rely on spotting inconsistent punctuation, weird phrasing or awkward greetings to identify email scams.

   Deepfake technology further amplifies this threat by creating realistic voice and video communications. Attackers can impersonate executives with alarming accuracy, making it increasingly difficult for individuals and organizations to discern genuine communications from fraudulent ones.

2. Automated malware development - AI algorithms can create polymorphic malware — malicious software that changes its visible characteristics without altering its core functions, thereby, evading detection by traditional security measures. Also, the algorithms are being employed to pinpoint and exploit zero-day vulnerabilities, those previously unknown flaws in software that leave systems defenseless against initial attacks. By automating the discovery of these vulnerabilities, attackers can quickly and consistently launch widespread attacks before defenses are in place.
3. Evasion and obfuscation techniques - AI-driven methods are increasingly used to bypass traditional security measures. Attackers employ AI to analyze security systems and then develop strategies to evade them. For instance, they might use adversarial machine learning techniques to manipulate inputs and deceive AI-based defense systems, causing them to misclassify threats or overlook malicious activities.

   Adversarial attacks exploit weaknesses in machine learning models, enabling cybercriminals to effectively hide malware or malicious activities. This not only undermines existing security protocols but also poses a significant challenge to the development of future AI-based defense mechanisms.

Three best practices for leveraging AI in cybersecurity defense

Despite the challenges created by cybercriminals, AI remains a critical asset in cybersecurity defense tool for modern companies. AI significantly enhances cybersecurity efforts thanks to its ability to identify patterns, user behaviors and anomalies that can often elude traditional security measures.

Let’s investigate how AI is reshaping cybersecurity by providing advanced tools and techniques that not only streamline security protocols but also significantly improve response times and accuracy. In short, AI is helping companies create a more dynamic, resilient security environment.

1. Sophisticated AI threat detection speeds up response - With the ability to analyze data in near real-time, AI can not only accelerate threat detection but also increases accuracy by differentiating between normal activities and genuine threats, and by continually adapting to new data. Also, by harnessing machine learning and comprehensive data sets, AI can leverage automated detection strategies and playbooks that exceed human capabilities. This technology not only cuts through the noise but also enhances the precision of threat identification.
2. AI-driven automation is transforming incident response - Modern AI systems not only recommend actions but also evolve through a continuous feedback loop, enhancing their accuracy over time. This approach not only coaches your analysts but learns from them, creating a collaborative environment that reduces human error and speeds up response times. Despite the high level of automation, maintaining a human element in every loop is crucial for strengthening the reliability and integrity of the response process.
3. Adaptive AI systems proactively learn and adjust to emerging threats AI-driven adaptive security measures offer a new perspective on threat vectors, increasing flexibility and responsiveness. AI’s ability to adapt to evolving threats without manual intervention helps predictive models remain current, offering a substantial advantage in speed and accuracy over conventional approaches in anticipating new threats.

Collaboration between AI and cybersecurity professionals

Human oversight is critical in AI-driven security systems. While AI provides efficiency and scalability, the expertise of cybersecurity professionals remains indispensable.

An ideal approach is a co-managed one, where AI supports cybersecurity professionals, not only by providing tools and insights but also by facilitating an exchange of best practices and techniques. Incorporating human expertise with advanced AI provides a balanced approach that leverages the strengths of both, resulting in more robust and effective cybersecurity measures.

The Imperative of embracing AI in cybersecurity

AI isn't merely an option in cybersecurity today — it's essential. But AI's dual role in this field demands constant adaptation and innovation to keep our defenses ahead of evolving threats.

At Rackspace Technology®, we merge AI innovation with cybersecurity expertise to overcome your challenges to create offerings such as The Foundry for AI by Rackspace (FAIR™). FAIR is built on decades of Rackspace Technology experience helping customers adopt, manage and optimize emerging technologies. We’ve been at the forefront of innovation since our founding in the late 1990s. We have a celebrated history of industry firsts, which includes being the first to offer web hosting and deliver a hosted private cloud, the launch OpenStack public cloud with NASA, and being one of the first companies to offer managed services for AWS, Google Cloud and Microsoft® Azure®. Now we are helping customers address cybersecurity issues while paving the way for future resilience in a rapidly changing digital landscape.

Explore our leadership in AI and cybersecurity →