AI in Cybersecurity: A Dual-Edged Reality for Emerging Markets

Key Threat Dynamics:

📌 AI-Generated Malware & Polymorphic Code: Adversaries now deploy generative AI to produce self-mutating malware that bypasses signature-based detection in real time.

📌 Deepfake-Enabled Fraud: Voice cloning and video deepfakes are increasingly used for executive impersonation and supply chain infiltration, especially in regions with variable digital literacy.

📌 Ransomware-as-a-Service (RaaS): The dark web now offers AI-powered toolkits and phishing kits “as-a-service,” empowering non-experts to launch sophisticated attacks with localized precision.

📌 Quantum-Enabled Risk: 'Harvest-now, decrypt-later' strategy is being employed by threat actors, who are accumulating encrypted data today with the intent to decrypt it once quantum computing matures. This represents a silent, yet profound, threat to enterprises that lack quantum-ready cryptographic safeguards

Strategic Defence Imperatives:

📌 UEBA for Behavioural Insights: User and Entity Behaviour Analytics offers contextual anomaly detection, crucial for identifying lateral movement and insider threats.

📌 SOAR with AI: Automation powered by AI enhances detection, response, and remediation, especially valuable in talent-scarce geographies.

📌 XDR + MITRE ATT&CK: Extended Detection and Response, when integrated with the MITRE framework, shifts security postures from reactive to proactive.

📌 Post-Quantum Cryptography (PQC): Financial and government institutions must begin adopting quantum-resilient cryptographic standards and blockchain-based identities.

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