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18 Mar 2024

Acknowledging Your Organization’s AI Security Preparedness

Acknowledging Your Organization’s AI Security Preparedness

Acknowledging Your Organization’s AI Security Preparedness

In the continuously advancing landscape of artificial intelligence (AI), understanding your organization's preparedness to build and support an AI security culture is not just important, it's imperative. As AI technologies evolve, they spawn a plethora of novel security challenges that require a thoughtful, comprehensive, proactive approach if they are going to be successfully managed or defeated. In the following sections, we identify why it's crucial for organizations, especially at the board and C-suite levels, to have a clear picture of their AI security status and needs.

Situational Awareness

Despite the critical nature of AI security, a surprising gap exists in the familiarity among senior executives with the AI systems deployed within their organizations. This includes a lack of understanding of their purpose, robustness, maintenance burdens, and compliance with regulatory requirements. A Global Chief Information Security Officer (CISO) survey by Heidrick & Struggles in 2023 revealed that only 65% of CISOs believed cybersecurity was integrated into their company's business strategy. Furthermore, fewer than 60% felt they had adequate funding for an effective security program.

Increased Attack Surface and Unmanageable Challenges

The findings of a recent Application Security Posture Management (ASPM) survey add another layer of concern. It reported that 78% of CISOs and 71% of Application Security (AppSec) teams view today’s attack surface as "unmanageable." This sentiment reflects the growing complexity and scale of threats in the digital domain, particularly those involving AI, such as adversarial attacks, prompt injections, and malicious code infiltration.

Regulatory Compliance and Data Privacy

The AI regulatory landscape is changing almost as fast as what it is meant to regulate. In the U.S., the number of regulations addressing data privacy rose significantly from six at the end of 2021 to 23 by the end of 2023. This doesn't even account for international regulations like the recently-signed European Union Artificial Intelligence (EU AI) Act or the General Data Protection Regulation (GDPR), which apply to U.S. companies operating abroad. Compliance with these evolving standards is not just a legal requirement, but a critical component of trustworthiness, governance, and security in AI operations.

The Perception Gap and Investment Shift

There's a pressing need for organizations to acknowledge the "perception gap" among decision-makers regarding AI security. Recognizing this gap is the first step toward shifting investment strategies to focus on strengthening everyday defenses. This involves identifying and integrating solutions that are robust, scalable, and compliant with regulations.

Incorporate Advanced Solutions 

Implementing the appropriate, most advanced tools can help security teams effectively manage and mitigate these risks and challenges. Our AI runtime security solutions are the most comprehensive on the market. These model-agnostic solutions are easily integrated, providing essential capabilities for enterprise-wide observability, data security, and compliance. Our detailed user insights bridge the perception gap among decision-makers and help them to fortify their organization’s AI security infrastructure.

Conclusion

The journey toward creating a secure AI system begins with an honest assessment of where your organization stands in the moment. With an emerging array of risks and urgency in AI security, proactive measures are not just advisable but essential in today’s digital landscape. 

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