Introduction
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 survey conducted by Heidrick & Struggles in 2023 revealed that only 65% of Chief Information Security Officers (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 an 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 European Union’s recently signed 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 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. CalypsoAI’s generative AI security and enablement platform is the most comprehensive novel solution on the market. This model-agnostic, easily integrated solution provides essential capabilities for enterprise-wide observability, data security, and compliance, and provides detailed user insights, bridging the perception gap among decision-makers and fortifying 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. Our next blog post in this series will explore the risks and urgency in AI security, highlighting why proactive measures are not just advisable but essential in today’s digital landscape.
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