“Next generation” antivirus and firewall systems use detection-based solutions that can only protect against risks already known to them. This leaves organizations at risk, as bad actors are constantly evolving their techniques and finding new vulnerabilities to exploit.
Sandbox solutions can offer some protection, but cyber criminals now use clever tactics to evade them. Malicious content can be fitted with a delayed ‘detonator’, meaning malware lays dormant and undetected by the sandbox, detonating once it passes through.
Machine learning and AI technologies rely on algorithms to detect known signs and patterns of malicious content. While offering a more effective approach than traditional solutions, machine learning and AI on their own cannot offer absolute, zero-trust protection, and still leave organizations at risk from new (zero-day) threats.
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