As the adoption of artificial intelligence (AI) continues to surge, organisations increasingly turn to AI application security tools to manage associated risks, especially those stemming from generative AI (GenAI). A recent Gartner survey highlights a significant movement towards integrating these security solutions, with 34% of organisations already using or implementing them, and over half still exploring their options.
Growing Importance of AI Security ToolsThe integration of GenAI technologies brings a host of security challenges that businesses are keen to address through various strategies. According to Avivah Litan, Distinguished VP Analyst at Gartner, 26% of surveyed IT and security leaders are currently implementing or using privacy-enhancing technologies (PETs), with others focusing on ModelOps (25%) and model monitoring (24%). These tools are essential for securing AI processes and ensuring the privacy and integrity of the data involved.
Continuous AI Trust, Risk, and Security Management (AI TRiSM) Litan emphasizes the necessity for organizations to adopt an enterprise-wide strategy for AI TRiSM. This approach involves managing data and process flows continuously between users and companies hosting generative AI foundational models, aiming to protect organizational integrity on an ongoing basis.
Responsibility and Concerns in AI Security While 93% of IT and security leaders indicate their involvement in GenAI security, only 24% claim full responsibility for it. In many organisations, the responsibility often falls on IT departments, with governance, risk, and compliance departments also playing significant roles. The primary concerns among leaders include the potential for AI-generated code to leak secrets and the production of incorrect or biased outputs, which could lead to serious financial and reputational damages.
Mitigating Risks and Enhancing Decision-Making The stakes are high, as AI malperformance can lead to severe consequences, including poor business decisions and potential harm to individuals or property. Organisations must, therefore, be vigilant in managing these risks to prevent security failures and ensure the ethical use of AI.
This proactive approach to AI security is crucial for businesses to harness the benefits of AI technologies while mitigating associated risks effectively. As AI continues to evolve, so too must the strategies organisations use to secure it, ensuring they remain robust in the face of new challenges.
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