From AI malware to converged risk: the biggest cyber security trends

From AI malware to converged risk: the biggest cyber security trends

4 years ago
Anonymous $GRbK1oXs9y

https://tech.newstatesman.com/security/cyber-threat-trends

Cyber security is vital. As technology develops, from mobile to cloud to the IoT, the level of complexity needed for organisations to maintain a cyber-aware stance also increases. Delivering a secure environment for a variety of mobile devices accessing corporate networks at any time is a world away from old intra-office systems. Now the default position is that systems are mobile, with significant security implications.

AI plays a key role in defending against cyber attacks, but a growing concern is the prospect of AI being used offensively within malware. Non-AI malware such as WannaCry and NotPetya created havoc well beyond their original targets, and an AI-based malware attack on critical national infrastructure could be catastrophic. Hackers have already started using AI to accelerate malware. Future AI techniques could allow hackers to bypass facial security and spam filters, promote fake voice commands, and bypass anomaly detection engines. Criminals mask their activities from security tools by blending in and posing as real users in the targeted organisation’s network, using stolen credentials, and running legitimate tools to dig through victim’s systems and data.

From AI malware to converged risk: the biggest cyber security trends

Jun 29, 2020, 7:31pm UTC
https://tech.newstatesman.com/security/cyber-threat-trends > Cyber security is vital. As technology develops, from mobile to cloud to the IoT, the level of complexity needed for organisations to maintain a cyber-aware stance also increases. Delivering a secure environment for a variety of mobile devices accessing corporate networks at any time is a world away from old intra-office systems. Now the default position is that systems are mobile, with significant security implications. > AI plays a key role in defending against cyber attacks, but a growing concern is the prospect of AI being used offensively within malware. Non-AI malware such as WannaCry and NotPetya created havoc well beyond their original targets, and an AI-based malware attack on critical national infrastructure could be catastrophic. Hackers have already started using AI to accelerate malware. Future AI techniques could allow hackers to bypass facial security and spam filters, promote fake voice commands, and bypass anomaly detection engines. Criminals mask their activities from security tools by blending in and posing as real users in the targeted organisation’s network, using stolen credentials, and running legitimate tools to dig through victim’s systems and data.