Treating AI like the next insider threat isn’t paranoia, it’s just good defence.
AI is already ‘inside the house’ and it has been invited and given a golden key by many organisations without considering the inherent risk.
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Many have embraced AI adoption into their business operations, whether through apps and programs or through employees utilising AI tools as a smarter way to work. AI changes, learns and adapts, which means the AI employed today won’t be the same tomorrow. This means that it is also not immune to misuse and manipulation. Integrating AI with core business systems has become second nature today.
This begs the question, how much trust is warranted in AI models, and what blind spots are we creating?
Organisations have long since come to recognise the value of ‘zero trust’ applied rigorously to even the most highly valued employees and devices. The need is clear to extend this mindset to models, API’s and automation pipelines. It is also important to start with the baseline suspicion of AI as a potentially risky actor – verifying its behaviour, isolating what it can access, and monitoring what it does.
Treating AI like the next insider threat isn’t paranoia, it’s just good defence.
Outcomex are helping organisations be proactive to mitigate the inherent risk of AI by leveraging industry best practices and tools like Cisco’s Secure Access AU Access defence capabilities. Outcomex’s team take it from idea to implementation, ensuring that guardrails are in place for how AI is used, protecting where data flows, and ensuring accurate data access controls.
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