FUTURE TECHNOLOGY empowering employees to make smarter and faster decisions .
By prioritising AI training and developing accessible AI-driven tools , organisations can enable employees at all levels to effectively leverage AI .
This approach not only boosts productivity but also democratises access to AI across the organisation . Collaborating with AI specialists to design user-friendly tools ensures that employees in diverse roles , from marketing and finance to HR and operations , can use AI to drive datainformed decisions and foster innovation within their departments .
While AI is advancing rapidly , the costefficiency of AI solutions remains a critical challenge . Many AI systems operate on tight margins , with significant investment required for data , energy , and computational resources in the pursuit of self-sustaining AI models .
As the industry matures , companies may increasingly adopt smaller , task-focused models to reduce costs and improve returns on investment . Specialised models , in many cases , outperform broad , general-purpose models , offering efficient and targeted solutions .
A world of AI is a world of APIs , with 50 % APIs unmonitored and unmanaged
We are seeing a confluence of three dangerous trends : the centralisation of risk in relation to key AI platforms , the proliferation of unmanaged APIs connecting these systems , and a reduction in human oversight precisely when it is needed the most . This creates both technical vulnerability and institutional brittleness .
Budget cuts and efficiency mandates will accelerate the push of agencies toward shadow AI solutions , inadvertently centralising vulnerabilities around a handful of AI vendors . This creates perfect watering hole targets – compromise one frontier model , and the impact cascades across multiple agencies . We are building a monoculture of AI systems connected by unmanaged APIs , while simultaneously reducing oversight and governance .
Looking ahead to next year , we will continue in a global AI race condition , where everyone from small businesses to nation states are adopting AI at breakneck speed because if we do not , they will , and every organisation has they to worry about .
However , the AI race condition is not just about adoption speed . It is creating a dangerous feedback loop where the pressure to deploy AI faster makes us more dependent on it to manage the complexity we are creating . I expect to see a push for government efficiency through rapid AI adoption , which is likely to create significant security vulnerabilities .
In many ways , we are seeing a dangerous parallel to the rushed cloud
We are building a monoculture of AI systems connected by unmanaged APIs , while simultaneously reducing oversight and governance .
Chuck Herrin , Field CISO , F5 adoption of the early 2010s , but with higher stakes . Organisations need to focus on AI architecture and defence in depth , with API security as a critical control point . Every AI interaction happens through APIs , making them both the enabler and the potential Achilles ’ heel of this transformation .
Organisations today are woefully unaware of their API ecosystem and attack
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