These AI-backed cyberattacks are increasingly sophisticated, often slipping through traditional cybersecurity safety nets. However, with the right defence methods in place, businesses can stay one step ahead. This involves implementing proactive measures to identify and neutralize threats before they cause damage.
Modern cyberattackers leverage artificial intelligence, machine learning, and automation at multiple steps of the attack kill chain. This means that what once took weeks to carry out, from reconnaissance to exploitation, can now be completed in just days or even hours. This dramatic acceleration of cyber attacks poses a significant challenge for organizations looking to protect their digital assets and infrastructure. For example, according to IBM’s X-Force Threat Intelligence Index 2023 report the time to execute attacks has dropped 94% over the last few years. What took months now takes attackers mere days.
This means that proactive, threat-driven, prevention and a rapid response time are more crucial than ever in cybersecurity.
The growing sophistication of attacks highlights the importance of investing in advanced threat detection that leverages the latest threat intel and fine-tuned algorithms to ward off evolving threats.
What also becomes highlighted as the attack chains get sped up is automation. Detecting and blocking threats needs to happen as far from the end-user as possible, in real-time, without delay, and without relying on human intervention where possible.
One way to stop cyberattacks cost-effectively is to put automated layers of defense into the cloud services. That’s the entry point for the attackers and the point where minimizing damage is the most efficient for defenders, keeping it as far from the user as possible. Attackers use cloud services like Salesforce as a steppingstone to launch complex attacks, such as phishing or even ransomware attacks, but automated threat protection capabilities such as anti-malware and anti-phishing will efficiently stop them in their tracks.
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