what are some key points in this article? Digital attacks are a constant threat to businesses today because nearly every business relies on digital information and technology to operate and house important data. These attacks have the potential to do operational, financial, reputational, and strategic harm on organizations - all of which come at significant costs to manage and correct. Generally, attackers harness the power of DDoS (distributed denial of service) networks to overwhelm company systems. Digital attacks, or cyberattacks, commonly include: Phishing: tricking users to provide sensitive information. Service risks: due to the failure of securing cloud and internet-facing services Compromised passwords. Supply-chain attacks: assets, systems, and codes can become compromised. Ransomware: holding information hostage until money is paid. Gartner (n.d.) describes cybersecurity as "the practice of deploying people, policies, processes and technologies to protect organizations, their critical systems and sensitive information from digital attacks". Various cyber defenses can be deployed, including data security (encryption), identity management (enabling/disabling digital access), and endpoint security (security on devices). Mishra and Jena (2021) report that machine learning is now being used to, "detect DoS attacks, classify cyberattacks, detect security incidents from server logs, network intrusion detection, user behavior anomaly detection, and predict cloud security