- 68% of global tech leaders worry AI’s rapid growth is outpacing security measures.
- 85% believe security concerns will drive more AI applications to edge computing.
- By processing data locally on devices, edge computing offers efficiency, security, and privacy.
- Only 50% of surveyed leaders are confident in their current security investments.
- Many organizations neglect crucial security practices, like independent certifications and threat modeling.
- Despite concerns, 67% of decision-makers believe their organizations can manage AI-related security risks.
- 46% of respondents focus on strengthening security, while 39% prioritize AI readiness.
Main AI News:
As AI rapidly advances, the tech industry is increasingly anxious about whether security measures can keep up. A PSA Certified survey of 1,260 global tech leaders found that 68% fear AI’s growth is outpacing the industry’s ability to secure products and services. This concern drives a shift toward edge computing, with 85% believing security challenges will push more AI applications to the edge.
Edge computing, which processes data on devices instead of in centralized cloud systems, offers efficiency, security, and privacy benefits. However, this shift demands heightened device security. David Maidment, Senior Director of Market Strategy at Arm and PSA Certified co-founder, emphasizes that AI’s growth depends on robust security measures. While AI presents significant opportunities, it also introduces new risks.
Despite widespread recognition of the importance of security, action is lagging. Only 50% of respondents feel confident in their current security investments, and many need to pay more attention to critical practices like independent certifications and threat modeling, which are vital for mitigating risks.
Maidment stresses that maintaining best security practices is crucial, especially as the race for AI innovation intensifies. He calls for a unified approach to security across the entire AI lifecycle—from device deployment to managing AI models at the edge—highlighting security by design as essential for building consumer trust.
Despite these concerns, the industry remains optimistic. Most (67%) decision-makers believe their organizations can manage AI-related security risks. There’s also growing recognition of the need to prioritize security investments, with 46% focusing on strengthening security over AI readiness.
Maidment concludes that organizations must not overlook security to fully realize AI’s potential. As the connected device ecosystem embraces new AI-driven use cases, it’s vital to proceed with caution and ensure security remains a top priority.
Conclusion:Â
The market is witnessing a crucial shift as the rapid advancement of AI necessitates a stronger focus on security, particularly in edge computing. This evolution presents both opportunities and challenges. While edge computing offers efficiency and privacy advantages, it also requires heightened attention to device security. The gap between security awareness and implementation highlights a vulnerability that could be exploited by malicious actors, potentially undermining consumer trust. Companies prioritizing security investment and adopting comprehensive security strategies will be better positioned to harness AI’s potential while safeguarding their products and services. This trend underscores the importance of security by design as a critical factor in maintaining market confidence and sustaining growth in the AI-driven era.
