Cyber Warriors Power List 2025: NETSCOUT

Emad Fahmy, Systems Engineering Director at NETSCOUT, leads efforts to combat evolving cyber threats with AI-driven solutions. As cyberattacks grow in sophistication, organisations in the MEA region require real-time threat intelligence and predictive analytics to safeguard critical infrastructure. NETSCOUT leverages AI, machine learning, and automated defence mechanisms to detect and neutralise threats before escalation. By integrating zero-trust security frameworks and cross-sector intelligence sharing, the company enhances cyber resilience, ensuring businesses can withstand the next generation of cyber risks.

NETSCOUT – Emad Fahmy, Systems Engineering Director

What innovative cybersecurity solutions does the organisation offer, and how do they address the region’s unique challenges?

The organisation provides AI-driven cybersecurity solutions, real-time threat intelligence, and advanced DDoS mitigation to address the region’s evolving cyber risks. Persistent DDoS campaigns, AI-driven attacks, and supply chain vulnerabilities present significant threats, necessitating a multi-layered defence strategy.

Emad Fahmy, Systems Engineering Director at NETSCOUT, stated, “Organisations in the MEA region face increasingly sophisticated cyber threats, requiring proactive security measures. Our AI-driven solutions deliver predictive analytics, real-time threat intelligence, and adaptive security measures to safeguard critical infrastructure and ensure operational continuity.”

By employing AI-powered predictive analytics, the organisation detects and neutralises cyber threats before escalation, while zero-trust security frameworks ensure stringent access controls. Real-time network monitoring and automated response capabilities enable businesses to maintain operational resilience against sophisticated cyberattacks.

Given the MEA region’s reliance on IoT, cloud services, and interconnected infrastructure, the organisation offers deep visibility and adaptive security measures. To counteract DDoS-for-hire services and sophisticated attack techniques, it leverages automated mitigation tools and cross-sector intelligence sharing. The organisation remains committed to enhancing cyber resilience, securing critical infrastructure, and ensuring compliance with evolving regional regulations.

How is the organisation leveraging advanced technologies to combat emerging threats like AI-powered cyberattacks or sophisticated bugs?

The organisation utilises AI, machine learning, and automated threat intelligence to mitigate emerging cyber threats. As AI-powered cyberattacks become increasingly sophisticated, attackers are deploying automation and adaptive strategies to evade traditional defences. To address this challenge, the organisation implements AI-driven anomaly detection and predictive threat modelling, enabling businesses to detect threats in real time.

Emad highlighted, “AI-driven threats require AI-powered defences. By leveraging machine learning, predictive analytics, and automated response mechanisms, we enable businesses to identify and neutralise threats before they escalate.”

Additionally, zero-trust security frameworks ensure that only authenticated users and systems gain access, reducing the risk of compromise. Automated incident response mechanisms allow security teams to react swiftly to complex cyber threats, minimising damage before escalation.

With multi-cloud security and platformisation becoming industry priorities, the organisation integrates AI-driven security tools into broader cyber resilience strategies. By combining real-time monitoring, automated defence mechanisms, and cross-layer visibility, businesses are better equipped to withstand the next generation of cyber threats.

How can cybersecurity effectively tackle challenges related to AI misuse or malicious activities online?

Cybersecurity must evolve in response to AI-driven threats, employing real-time monitoring, behaviour-based threat detection, and predictive analytics. Attackers increasingly exploit AI for phishing campaigns, deepfake attacks, and automated malware deployment, reducing the effectiveness of traditional security measures.

To address these challenges, organisations must implement AI-driven anomaly detection to identify malicious activity patterns and respond proactively. The use of zero-trust security architecture reinforces access control mechanisms, limiting the risk of AI-powered cyber intrusions.

Emad noted, “AI-driven cyber threats demand an adaptive defence strategy. By leveraging behaviour-based threat detection and AI-enhanced security models, organisations can proactively counteract malicious activities and mitigate evolving risks.”

Furthermore, collaboration between businesses, governments, and cybersecurity providers is essential to facilitate threat intelligence sharing and develop collective defences against AI-driven cybercrime. Automated threat hunting, machine learning-based risk assessment, and multi-layered security frameworks offer businesses more robust protection. A combination of AI ethics, regulatory enforcement, and cutting-edge cybersecurity technologies is necessary to mitigate the increasing risks associated with AI misuse.

Can you share a recent case study or success story demonstrating the impact of the organisation’s solutions?

A regional financial institution recently faced a persistent, AI-powered DDoS attack that evolved continuously, adapting to traditional mitigation strategies. The attack aimed to exhaust security resources and cause operational disruptions over an extended period.

By leveraging its AI-driven security operations centre (SOC), the organisation provided real-time monitoring and automated threat detection, enabling the financial institution to anticipate attack patterns and proactively neutralise them. Behaviour-based anomaly detection and zero-trust security enforcement ensured business continuity, minimised downtime, and safeguarded sensitive customer data.

This case underscores the necessity of AI-powered cybersecurity tools in modern threat defence. Through predictive analytics and cloud-native security frameworks, businesses can detect, respond to, and adapt against evolving cyber risks, strengthening long-term resilience.

What current industry trends are driving cybersecurity strategies, and how is the organisation preparing for the future?

In 2025, persistent DDoS campaigns, supply chain security, AI-driven cybersecurity, and platformisation are shaping cybersecurity strategies. Attackers now deploy prolonged DDoS attacks designed to exhaust security teams, requiring businesses to invest in automated incident response and predictive threat intelligence for early detection.

Supply chain security remains a key concern, with businesses exercising greater caution towards third-party integrations. Many organisations are adopting stricter vendor validation protocols and phased software updates to mitigate supply chain risks.

Platformisation is becoming a dominant trend, with cybersecurity solutions integrating seamlessly into broader digital ecosystems. Rather than relying on standalone security tools, businesses seek interoperable security frameworks that enhance cross-layer visibility.

Meanwhile, large language models (LLMs) and AI-powered security tools are reshaping cybersecurity operations, allowing for natural language threat analysis and predictive risk assessment. By prioritising automation, zero-trust security, and multi-cloud resilience, organisations can strengthen their security posture against increasingly sophisticated cyber threats.

How is the role of cybersecurity evolving in a hyperconnected digital world?

As businesses continue to adopt cloud computing, IoT, and AI-driven automation, cybersecurity must transition from reactive defence strategies to predictive, intelligence-driven protection. Traditional security models are no longer sufficient—organisations require real-time threat intelligence, zero-trust security, and automated response mechanisms to mitigate emerging threats.

Cybercriminals increasingly launch multi-vector cyberattacks, simultaneously targeting multiple endpoints. To counteract these risks, businesses must implement holistic cybersecurity strategies that incorporate cross-layer monitoring, AI-driven anomaly detection, and cloud-native security solutions.

Additionally, growing geopolitical tensions and cyber warfare highlight the importance of public-private collaboration in cybersecurity. Governments, regulatory bodies, and private-sector entities must prioritise threat intelligence sharing, regulatory frameworks, and AI-enhanced security measures to address the risks posed by state-sponsored attacks and large-scale cyber threats.

Ultimately, cybersecurity will continue evolving towards autonomous, AI-driven security models capable of predicting, preventing, and mitigating risks in real time, ensuring resilience in an increasingly interconnected world.