EDITOR’ S QUESTION
RANJITH KAIPPADA, MANAGING DIRECTOR,
CLOUD BOX TECHNOLOGIES
With advanced AI models at work, CIOs and CISOs can analyse troves of data in real time, identify anomalies, and predict any potential breaches even before they occur. AI can leverage behaviour analysis, detect patterns, and run complex monitoring for threat detection and neutralization.
CIOs and CISOs can use deception technology to lure attackers into decoys and honeypots. By prompting them to attack these isolated environments, they can gain key insights to strengthen defence mechanisms on the actual environments. This ensures that analysis is kept away from sensitive assets that could otherwise cause catastrophic damage. management systems, and multi-factor authentication among others to limit the attack surface.
Cyberthreats are evolving and the challenges will be even more pronounced. This involves working in an environment where training modules and attack simulations are crucial practices to prepare employees for real-life attacks. Adequate knowledge and practice can help employees resist attacks, including complex malware, ransomware, and less intrusive but still dangerous phishing attempts.
CIOs and CISOs must take a proactive approach to mitigate AIdriven threats. It involves integrating zero-trust frameworks that ensure no users or devices are allowed access to data or systems without verification. Cyber security specialists can boost proactive measures by integrating identity and access
When discussing attack surfaces, endpoints are a vulnerable juncture where cybersecurity measures occasionally falter. Introducing AI into endpoint protection can help track unknown threats, malware, and anomalies, allowing the system to revert to a stable, secure state without human intervention.
The rise of AI-driven cyber threats demands that CIOs and CISOs evaluate modern security solutions equipped with innovative features to safeguard their organisations. Here’ s what should be on their radar. AI and Machine Learning, have become indispensable in cybersecurity. SoftServe has integrated AI-powered anomaly detection for a financial institution, enabling real-time analysis of data to predict and mitigate Zero-day vulnerabilities. These systems excel at identifying patterns that signal potential attacks.
SoftServe’ s behavioural analytics solutions monitor deviations from established user behaviour patterns. For a global healthcare provider, these tools flagged unusual activity, such as unauthorised access attempts, ensuring proactive threat response.
The Zero-Trust model has redefined network security. SoftServe helped a multinational corporation implement this approach, requiring continuous authentication and limiting lateral movement within systems. This architecture is critical in minimising access risks in today’ s complex environments. resolution times by 70 % for a logistics company by automating responses, ensuring swift containment of breaches without overburdening teams. Cloud-native security features are essential as organisations scale their cloud operations. SoftServe delivered a multicloud security solution for an e-commerce giant, ensuring regulatory compliance and robust data protection across diverse platforms.
SoftServe integrates real-time threat intelligence platforms that help organisations stay ahead of emerging risks. A manufacturing firm partnered with SoftServe to leverage these tools, enabling proactive defence against sophisticated attack vectors. Vulnerabilities in supply chains pose significant risks. SoftServe provided end-to-end visibility for a technology firm, helping secure third-party processes and safeguard critical components against exploitation.
Security Orchestration, Automation, and Response platforms are revolutionising incident management. SoftServe reduced incident
FADI KANAFANI, GENERAL MANAGER, SOFTSERVE
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