What are the biggest security risks with AI?

Data & Analytics Security & GRC

Data collection and user privacy21%

Automation Bias - relying too much on systems, not people58%

Nondiscrimination and Fairness9%

Accountability5%

False Positive/False Negative rates4%

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What percentage of your entire attack surface is continuously tested for vulnerabilities?

0-25%19%

26-50%60%

51-75%15%

76% or higher5%

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‘AI’ Business Model – With many components flowing into the AI domain (cost, data, E&C, people, value, strategy, duplication of everything, etc.), I’ve started to think about splitting out ‘AI’ from the operating model and putting it into a separate legal entity. This way, I could manage a) risk and compliance, b) cost, c) resource allocation, d) governance, e) IP, f) revenue generation, etc.

Of course, this isn’t new in general, but I’m especially interested in how this approach could help with the ongoing challenge of ensuring compliance with data privacy and regulations related to LLMs and data access/usage over time.

My question: Is anyone else thinking about this, or has anyone already done it? I know there are examples in the literature, but I wanted to float this here for general comments and discussion.

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Have you seen a measurable improvement in developer productivity since adopting AI coding tools?

Yes, we’ve seen a marked improvement22%

Maybe, we believe productivity has improved but can’t measure it28%

No, we’ve seen little to no improvement36%

I’m not sure12%

We’re not using AI coding tools

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Which tech conference do you intend to attend in person next year or have already participated in this year, and what motivated your choice?

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How do you approach managing multiple enterprise systems (ServiceNow, Workday, Oracle, SAP, Salesforce) that all want to leverage AI? How do you handle security and infrastructure complexity, and do you see a role for an agnostic AI orchestrator?

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What are the biggest security risks with AI? | Gartner Peer Community