AI, Automation and Resilience Are Redefining Enterprise Security

Hasanian Alkassab, the Security Business Unit Director of GBM explains how AI, automation and unified visibility are helping enterprises strengthen cyber resilience, minimise disruption during attacks and maintain business continuity.

How has your organization’s security approach evolved from prevention-focused to resilience-focused models?

At GBM, our approach to security mirrors the region’s digital acceleration. Through our unique understanding of the evolving information security landscape, we recognized the importance of a resilience and AI-first model like GBM Shield, which delivers defense-grade protection and 24/7 unified visibility across hybrid and multi-cloud environments.

By deploying proactive architectures, we empower organizations to absorb shocks, adapt to evolving threats, and sustain critical business functions seamlessly, transforming security into a driver of business continuity. This shift enables organizations to assume breach, contain impact in real time, and maintain business continuity even under active attack—turning cybersecurity into an operational enabler rather than a static control function.

What does “cyber resilience” mean in practical, operational terms for your security teams?
Operationally, cyber resilience means maintaining uninterrupted business services even during a security incident. For GBM teams, this translates into continuous monitoring across all environments, real-time anomaly detection, and automated containment actions. When threats are detected, affected workloads are isolated instantly, allowing the rest of the environment to continue functioning without disruption.

Where do traditional prevention-based security models still fall short in today’s threat landscape?
Traditional models are limited by their reliance on static controls and siloed visibility. They are not designed for dynamic environments such as multi-cloud, remote work, and API-driven architectures. As a result, they often fail silently once the perimeter is bypassed, missing lateral movement or advanced persistent threats. Without continuous telemetry and adaptive response capabilities, organizations are exposed to delayed detection and prolonged dwell time.

How are you balancing speed of business operations with effective incident response and containment?
At GBM, we eliminate the trade-off between speed and security through deeply integrated automation and unified visibility. Security is embedded directly into the operational fabric of the enterprise, enabling real-time detection and instant response without human delay. Threats are automatically isolated at the point of detection, while unaffected systems continue to operate at full speed. This ensures security enhances—not hinders—business agility and digital transformation.

What role does automation or AI play in improving detection and recovery capabilities?
AI and automation are the backbone of modern cyber resilience. AI continuously analyses massive volumes of telemetry across cloud, network, and endpoint environments to identify complex, multi-stage attack patterns in real time. Automation then executes precise, pre-orchestrated response actions instantly eliminating threats before they spread. This dramatically reduces response time, minimizes operational impact, and enables rapid, reliable recovery at scale.

How are board-level expectations influencing resilience and risk management strategies?
Cybersecurity has decisively shifted into the boardroom as a core driver of enterprise value protection. Leadership now demands measurable resilience—not just compliance—focused on business continuity, risk reduction, and operational assurance. This is accelerating demand for transparent risk visibility, real-time reporting, and quantifiable recovery performance. Security is now judged by its ability to sustain the business under attack, not just prevent incidents.

Can you share any key lessons learned from recent security incidents or near-miss events?
Recent global incidents have made one reality clear: modern attackers are targeting business disruption, not just data.cOrganizations that withstand these threats are those that have invested in continuously tested response capabilities, full-stack visibility, and automated containment. The industry is rapidly shifting from reactive defense to engineered resilience—where survival is defined by continuity, not prevention.

At GBM, our approach to security mirrors the region’s digital acceleration. Through our unique understanding of the evolving information security landscape, we recognized the importance of a resilience and AI-first model like GBM Shield, which delivers defense-grade protection and 24/7 unified visibility across hybrid and multi-cloud environments.

By deploying proactive architectures, we empower organizations to absorb shocks, adapt to evolving threats, and sustain critical business functions seamlessly, transforming security into a driver of business continuity. This shift enables organizations to assume breach, contain impact in real time, and maintain business continuity even under active attack—turning cybersecurity into an operational enabler rather than a static control function.

What does “cyber resilience” mean in practical, operational terms for your security teams?
Operationally, cyber resilience means maintaining uninterrupted business services even during a security incident. For GBM teams, this translates into continuous monitoring across all environments, real-time anomaly detection, and automated containment actions. When threats are detected, affected workloads are isolated instantly, allowing the rest of the environment to continue functioning without disruption.

Where do traditional prevention-based security models still fall short in today’s threat landscape?
Traditional models are limited by their reliance on static controls and siloed visibility. They are not designed for dynamic environments such as multi-cloud, remote work, and API-driven architectures. As a result, they often fail silently once the perimeter is bypassed, missing lateral movement or advanced persistent threats. Without continuous telemetry and adaptive response capabilities, organizations are exposed to delayed detection and prolonged dwell time.

How are you balancing speed of business operations with effective incident response and containment?
At GBM, we eliminate the trade-off between speed and security through deeply integrated automation and unified visibility. Security is embedded directly into the operational fabric of the enterprise, enabling real-time detection and instant response without human delay. Threats are automatically isolated at the point of detection, while unaffected systems continue to operate at full speed. This ensures security enhances—not hinders—business agility and digital transformation.

What role does automation or AI play in improving detection and recovery capabilities?
AI and automation are the backbone of modern cyber resilience. AI continuously analyses massive volumes of telemetry across cloud, network, and endpoint environments to identify complex, multi-stage attack patterns in real time. Automation then executes precise, pre-orchestrated response actions instantly eliminating threats before they spread. This dramatically reduces response time, minimizes operational impact, and enables rapid, reliable recovery at scale.

How are board-level expectations influencing resilience and risk management strategies?
Cybersecurity has decisively shifted into the boardroom as a core driver of enterprise value protection. Leadership now demands measurable resilience—not just compliance—focused on business continuity, risk reduction, and operational assurance. This is accelerating demand for transparent risk visibility, real-time reporting, and quantifiable recovery performance. Security is now judged by its ability to sustain the business under attack, not just prevent incidents.

Can you share any key lessons learned from recent security incidents or near-miss events?
Recent global incidents have made one reality clear: modern attackers are targeting business disruption, not just data. Organizations that withstand these threats are those that have invested in continuously tested response capabilities, full-stack visibility, and automated containment. The industry is rapidly shifting from reactive defense to engineered resilience—where survival is defined by continuity, not prevention.

Find link to article here: AI, Automation and Resilience Are Redefining Enterprise Security – Security Review Magazine