The Push & Pull of AI Tools: How to Mitigate Risk & Still Find Reward

The adoption of SaaS and public cloud has rendered data widely distributed and difficult, if not impossible, to secure with legacy protection solutions. As such, it is easy for both careless users and malicious actors to expose enterprise cloud data. Additionally, as AI tools become more powerful and widespread, this data risk increases and the attack surface for malware expands. A 2023 executive survey by the MIT Sloan Management Report revealed that 78% of organizations use third-party AI tools, and more than half (55%) of all AI failures come from these third-party tools.

This has led to an increasingly cautious approach to AI from technical leadership across organizations. In fact, according to Blackberry’s latest survey most IT decision-makers recognize the opportunity for generative AI applications to positively impact efficiency and innovation, yet 72% of CIO, CTO and CSO titles are pushing for bans on third-party tools.

So, is there the potential to get the advantages of AI tools without the risk? This eBook aims to answer this question and help organizations find a path forward.