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Cisco has announced a major update to Cisco Identity with the launch of Cisco Identity Intelligence, now fully powered by a Cisco-built artificial intelligence model. The company reported that this development strengthens identity security and supports organizations across the Middle East as they accelerate digital transformation and digital government initiatives.

The solution continuously monitors identity activity, providing visibility into who is logging in, from where, and on which device. Using post-authentication signals, it can detect suspicious behavior such as unusual locations, abnormal privilege use, or signs of MFA fatigue and session hijacking. Cisco revealed that this helps security teams act before threats escalate.

Administrators also receive a weekly email digest that summarizes key identity events and trends. More than two thousand customers rely on this digest to stay updated on identity risk. Cisco noted that using the Cisco Foundation AI model enables clearer and more accurate summaries tailored for security workflows.

Fady Younes, Managing Director for Cybersecurity at Cisco Middle East, Africa, Türkiye, Romania, and CIS, commented: “Security teams don’t need more noise, they need clearer, actionable signals. By deploying a Cisco-built AI model, we are delivering insights that help teams move faster and with greater confidence. This is especially important as organizations in the Middle East scale cloud and digital services while maintaining trust and resilience.”

  • Customers will notice a more consistent digest, sharper identity insights, and improved prioritization.
  • The security-tuned AI model supports compliance and aligns with regional priorities like data governance and digital sovereignty, particularly for government, financial services, and energy sectors.

Cisco reported that Foundation sec 1.1 8B Instruct, trained specifically on cybersecurity and identity scenarios, better matches how SOC analysts and identity administrators assess risk, enhancing enterprise security and control.