AI assistants are entering everyday work faster than many organizations can govern them. A lawyer uploads a contract for a summary. A finance analyst asks a copilot to explain unusual invoice activity. An HR manager pastes notes into an AI tool to improve a message. Each action may save time, but it may also place confidential business data into a system with different retention rules, access permissions, and oversight.
Your next major data breach may not begin with an attacker breaking into your network. It may begin with an approved AI agent doing exactly what it was asked to do.
This article shares three observations from FS-ISAC APAC on the changing meaning of cyber resilience, the democratisation of sophisticated attacks through DarkAI and the need for more predictive threat intelligence. It considers how financial institutions can identify reconnaissance and third-party exposure earlier, before attackers have the context needed to launch a targeted attack.
Security operations centers face a timing problem. Threats are developing faster, while analysts must review growing volumes of alerts from endpoints, networks, identities, email systems, cloud applications, and third parties.
Real-time threat detection used to be treated as an advanced security capability. Today, it is becoming a basic requirement for enterprises that cannot afford delayed visibility.
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