The threats related to AI are expanding as systems gain autonomy and sophistication at an alarming rate. From January to February 2023 alone, Darktrace researchers observed a 135% increase in “novel social engineering attacks,” corresponding to “the widespread adoption of ChatGPT.”

Malicious actors can now use artificial intelligence to launch targeted cyberattacks and exploit vulnerabilities at speeds, scales, and levels of precision previously unattainable by human hackers. AI can also be used to craft highly convincing phishing e-mails, create malware that adapts to security measures, and even automate the extraction of valuable data from compromised systems. Traditional cybersecurity measures—such as signature-based antivirus software, firewalls, and rule-based intrusion detection systems—struggle to keep pace with these types of AI-driven attacks, highlighting the need for more adaptive and advanced, AI-enabled cybersecurity strategies.

It’s the perfect time to discuss how leaders can fortify their strategies to mitigate these risks.

The best defense against AI is … AI

Ironically, AI itself can be a potent tool in defending against AI threats. Machine learning algorithms can analyze vast data sets to identify anomalies and detect potential security breaches in real time. AI-driven threat detection systems can recognize patterns of behavior that human analysts might miss. This proactive approach to cybersecurity can significantly reduce response times and limit the damage caused by AI-driven attacks.

To tackle evolving AI threats, SAP is working together with Splunk—creator of prominent technology for data analysis and security—to address the unique challenges posed by AI in the realm of cybersecurity. The following are key initiatives behind their collaboration.

Keys to the cybersecurity strategy refresh

• AI-specific threat detection: AI-powered threat detection systems are being designed to detect AI-driven attacks. These systems identify anomalies such as an unexpected surge in data requests outside of business hours or a sudden influx of simultaneous user login attempts. These specific indicators serve as early alerts, signaling potential cyber threats or unauthorized access and helping organizations fortify their security posture.
• Real-time monitoring: In the age of AI, real-time monitoring is crucial. SAP and Splunk's collaborative efforts focus on providing businesses with tools to continuously monitor their AI systems. This allows for immediate responses to security threats as they arise, reducing the potential for damage.
• Strong security community: Engaging with industry experts and cybersecurity professionals facilitates better information exchange, best practices, and threat intelligence sharing. Technical workshops and thought leadership conferences can also foster collective defense strategies. Events like these help security professionals and businesses stay resilient in the face of evolving AI-related security risks, encouraging a proactive and collaborative response within the community.

What leaders can do to tackle AI threats

Stay informed: Keep up to date with the latest developments in AI security threats and solutions. Attend industry webinars, such as the SAP User Groups on Security, and conferences such as SAPinsider and.conf24, to gain insights from experts.

Regular security audits: Conduct regular security audits of your AI infrastructure to identify vulnerabilities and weaknesses. Collaborate with AI security experts to ensure comprehensive protection.

Invest in AI-enabled cybersecurity solutions: Recognize that AI demands specialized security measures. Explore products, such as those provided by SAP and Splunk, that are capable of early detection. These products can identify abnormal user and system behaviors and safeguard your business data against AI-driven cyber attacks.

Train your team: Invest in AI security training for your cybersecurity professionals, and equip them with the knowledge and skills needed to defend against AI-specific threats. Key focus areas include:

• Ensuring security is an integral part of the AI development process, from inception to deployment
• Simulating potential AI attacks to identify vulnerabilities and reinforce defensive measures
• Conducting drills to enhance the team's ability to respond effectively to AI-specific incidents, establishing strong processes for detection, response, and recovery strategies

Stronger AI security hinges on collaboration

The collaboration between industry leaders like SAP and Splunk is indicative of the growing recognition of the need for collective action in the face of AI threats. By pooling resources, knowledge, and expertise, organizations can develop more effective AI-enabled security products. This collaborative approach is essential for staying ahead of cyber adversaries who continually update their tactics.

As AI continues to shape our world, companies must have strong cybersecurity strategies to ensure that AI is used safely.