Threat intelligence transforms raw data about actors, indicators, and tactics into prioritized, context‑aware insights that improve detection, prevention, and strategic decision‑making. Effective intelligence closes the gap between adversary activity and defensive action by answering: Who is targeting us? How are they operating? What should we prioritize? What threat intelligence delivers Types of threat intelligence Data
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IntroductionAI is transforming how banks secure digital channels—web, mobile, APIs and cloud—by enabling faster threat detection, adaptive controls, and automated response. Applied correctly, AI reduces fraud, shortens incident dwell time, and improves user experience without adding friction. Key AI‑led capabilities Operational considerations Deployment roadmap (practical path) ConclusionAI significantly strengthens digital banking security by enabling proactive,
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IntroductionA rapid, well‑coordinated response limits damage, preserves evidence, and speeds recovery. This guide provides a practical sequence of actions for teams to follow immediately after detecting a cyber attack, through containment, recovery, and lessons learned. ConclusionEffective post‑attack handling balances speed, evidence preservation, and careful communication. Follow a repeatable IR process: detect, contain, analyze, eradicate, recover,
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Ransomware encrypts or disrupts systems to extort payment. Defending your business requires layered controls, rapid detection, and tested recovery procedures. Below is a concise, action‑oriented guide organized into prevention, detection, response, and resilience. Prevention — reduce likelihood Detection — find intrusions early Response — contain and recover Resilience & governance — long term Practical quick
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