"Aditya Sood, vice-president of security engineering and AI strategy at Aryaka, says that while SLAs typically cover metrics like uptime, support response times and service performance, they often overlook critical elements such as data protection, breach response and regulatory compliance. This, he says, creates a responsibility gap, where assumptions about who is accountable can lead to serious blind spots. For instance, a customer might assume that the cloud provider's SLA guarantees data protection, only to realise that their own misconfigurations or weak identity management practices have led to a data breach."
"Sood recommends that IT decision-makers ensure they take into account the nuances between SLA commitments and shared security responsibilities. He believes this is vital for organisations to make the most of cloud services without undermining resilience or regulatory obligations."
Organisations increasingly rely on cloud services and public cloud AI acceleration, linking AI strategies to cloud security and availability. SLAs typically address uptime, support response times and performance but frequently omit data protection, breach response and regulatory compliance, producing responsibility gaps. Assumptions about provider accountability can create blind spots, where customer misconfigurations or weak identity management cause breaches despite perceived provider responsibility. Misalignment between SLA commitments and corporate IT requirements is common across diverse cloud offerings. IT decision-makers must map SLA promises against shared security responsibilities to maintain resilience and meet regulatory obligations.
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