Another emerging threat is attacks on the Internet of Things (IoT) devices. As the number of connected devices exponentially increases, so does the vulnerability to attacks that could compromise personal privacy or even lead to larger network breaches. IoT devices often lack robust security features, making them easy targets for cybercriminals looking to infiltrate networks or create botnets for larger distributed denial-of-service (DDoS) attacks.
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The exploitation of vulnerabilities in supply chains is another significant concern. Attackers target less secure elements in the supply chain to gain access to otherwise well-protected information systems. These types of attacks can have widespread repercussions, disrupting not just a single company but entire industries.
In response to these threats, several defensive strategies and technologies are being deployed. Artificial intelligence and machine learning are at the forefront, providing proactive defenses that can predict and neutralize threats before they materialize. These technologies are used to enhance threat detection capabilities and improve the speed and accuracy of incident response.
