Oracle releases AI-driven security and risk management solution

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Oracle has released an artificial intelligence-driven security and risk management solution designed for the Oracle ERP Cloud environment. The new Advanced Access Controls allow companies to continuously monitor for segregation of duties (SOD), financial compliance (SOX), privacy risks, proprietary information and payment risks, the company says.

The new controls embed self-learning AI techniques to constantly examine all users, roles and privileges against a library of active security rules. The offering includes more than 100 best practices (configurable rules) across general ledger, payables, receivables and fixed assets.

The pre-packaged audit-approved security rules automate access analysis during the role design phase, which is meant to accelerate ERP implementations. The workbench, visualization and simulation features within Advanced Access Controls allows users to add new rules and further optimize user access. Once live, the solution continuously monitors and automatically routes incidents to security analysts.

Advanced Access Controls uses graph-based analysis and self-learning algorithms to help organizations review and visualize the entire path by which any user is able to access and execute sensitive functions.

“As the pace of business accelerates, organizations can no longer rely on time-consuming manual processes, which leave them vulnerable to fraud and human error,” said Laeeq Ahmed, managing director at KPMG, in a statement. “With adaptive capabilities and AI, products such as Oracle Risk Management Cloud can help organizations manage access controls and monitor activity at scale to protect valuable data and reduce exposure to risk.”

For more information on Oracle Advanced Access Controls and Oracle Risk Management Cloud, go to

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Cyber security Risk management ERP software Cloud computing Oracle