Security Tops AI Adoption Challenges

The biggest spending in 2024 will be on GenAI—an average of $28M for large enterprises. AI will fuel productivity and, in turn, drive revenue growth. But it also brings with it new data security risks.

Behind GenAI and automation, the next largest spend for organizations is security. And that’s no coincidence. You simply can’t have success with AI without security.

GenAI cannot thrive without proper governance. In fact, it’s one of the top-three drivers for AI success. 75% of Forbes Global 2000 Companies will have implemented review boards specifically responsible for management and oversight of ethical and responsible AI use by 2025. And the top issues around AI ethics are 1. Privacy and consent, and 2. Security.

IDC analyst Jennifer Glenn said companies need to “expand usage of existing tools to log and enforce data security policies for GenAI, including data loss technologies, encryption, and data posture mapping.”

By 2026, AI models from organizations that operationalize AI transparency, trust and security will achieve a 50% improvement in terms of adoption, business goals and user acceptance.

The EU AI Act and other regulatory frameworks in North America, China and India are already establishing regulations to manage the risks of AI applications.

Be prepared to comply, beyond what’s already required for regulations such as those pertaining to privacy protection.

Better AI Security with SAFE

Paperclip solutions help clients move into the next era of AI and GenAI, fueling modernization. From SAFE encryption enabling better data security and privacy, to data optimization with our portfolio of SaaS solutions, Paperclip works hand-in-hand with your key AI and GenAI initiatives.

The advent of GenAI and LLMs are driving the need for better data security. With advancement in AI tools comes more risk of exposure of sensitive, controlled, and private data (PII and PHI). Secure your data while stepping into the future with Paperclip SAFE.

IDC Insights

GenAI cannot thrive without proper governance. In fact, it’s one of the top-three drivers for AI success. 75% of Forbes Global 2000 Companies will have implemented review boards specifically responsible for management and oversight of ethical and responsible AI use by 2025.

The top issues around AI ethics are 1. Privacy and consent, and 2. Security. Unfortunately, analysts predict that compliance and governance will likely fail to keep pace with the rapid rate of AI growth. It’s likely we’ll see security incidents as a result of GenAI before there are adequate regulations to prevent them.

IDC analyst Jennifer Glenn shares greater significance
of security in the age of Gen AI

Gartner Compliance Guidance

By 2026, AI models from organizations that operationalize AI transparency, trust and security will achieve a 50% improvement in terms of adoption, business goals and user acceptance. The EU AI Act and other regulatory frameworks in North America, China and India are already establishing regulations to manage the risks of AI applications.

Be prepared to comply, beyond what’s already required for regulations
such as those pertaining to privacy protection.

Industry Insights Into Gen AI

Privacy and security prevail as top concerns around AI ethics

GenAI cannot thrive without proper governance. In fact, it’s one of the top-three drivers for AI success. 75% of Forbes Global 2000 Companies will have implemented review boards specifically responsible for management and oversight of ethical and responsible AI use by 2025. And the top issues around AI ethics are 1. Privacy and consent, and 2. Security.

Unfortunately, analysts predict that compliance and governance will likely fail to keep pace with the rapid rate of AI growth. It’s likely we’ll see security incidents as a result of GenAI before there are adequate regulations to prevent them.
IDC analyst Jennifer Glenn said companies need to “expand usage of existing tools to log and enforce data security policies for GenAI, including data loss technologies, encryption, and data posture mapping.”

The EU AI Act enforces regulations to manage the risks of AI applications.

By 2026, AI models from organizations that operationalize AI transparency, trust and security will achieve a 50% improvement in terms of adoption, business goals and user acceptance.

The EU AI Act and other regulatory frameworks in North America, China and India are already establishing regulations to manage the risks of AI applications.

Be prepared to comply, beyond what’s already required for regulations such as those pertaining to privacy protection.

Learn about SAFE

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