Organizations increasingly integrate AI technologies into their cybersecurity architectures to enhance detection, response, and mitigation capabilities.
Powered by AI, predictive analytics enables security systems to forecast potential vulnerabilities and weaknesses, allowing organizations to implement proactive defense strategies and stay one step ahead of cyber adversaries.
These surveys will give your organization insight into statistics that can help create AI security strategies moving forward.
As concerns for data privacy with AI grow, companies will form their own policies while waiting for government entities to enact regulatory legislation.
76% of organizations report not having comprehensive AI policies in place, an area that must be addressed as companies consider and govern all the factors that present a risk in eroding confidence and trust.
These factors include data privacy and data sovereignty, and the understanding of and compliance with global regulations.
32% of IT leaders said that integrating AI was the top priority in 2023, followed by reducing security risks and reducing IT costs.
Data protection demands AI-specific security strategies.
Although AI is top of mind for data professionals across every sector, trust, security, and compliance are still leading organizational priorities.
88% of data leaders believe that data security will become an even higher priority in the next 12 months, ahead of AI. AI is transforming financial crime compliance.
While 86% of compliance, operations, risk and IT professionals at banks and non-banking financial institutions surveyed said they would increase spending on AI and ML over the next two years, a 93% of respondents said that instead of using automation to reduce staff, they would focus that extra capacity on strategies to manage risk and grow the business, according to WorkFusion.
Cybersecurity pros predict rise of malicious AI. 76% of cybersecurity professionals believe the world is very close to encountering malicious AI that can bypass most known cybersecurity measures, according to Enea.
While AI is still in its early growth phase, there is enough value to enterprises to make AI a good investment, particularly for industries that can take a competitive advantage form personalizing customer experience, fraud detection, optimizing sales and marketing, and improving real-time decision making.
Privacy concerns cast a shadow on AI's potential for software development.
95% of senior technology executives said they prioritize privacy and protection of intellectual property when selecting an AI tool.
32% of respondents were 'very' or 'extremely' concerned about introducing AI into the software development lifecycle, and of those, 39% cited they are concerned that AI-generated code may introduce security vulnerabilities, and 48% said they are concerned that AI-generated code may not be subject to the same copyright protection as human-generated code.
Cybercriminals turn to AI to bypass modern email security measures.
Cybercriminals have shown rapid adoption of AI tools to their favor with 91.1% of organizations reporting that they have already encountered email attacks that have been enhanced by AI, and 84.3% expecting that AI will continue to be utilized to circumvent existing security systems.
Most security pros turn to unauthorized AI tools at work.
97% of security pros believe their organizations are able to identify their use of unauthorized AI tools, and more than 3 in 4 suspect their organization would put a stop to it if discovered.
This Cyber News was published on www.helpnetsecurity.com. Publication date: Wed, 20 Dec 2023 04:43:06 +0000