Brianna White

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Jul 30, 2019
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The Evolving Landscape of Cybersecurity: Emerging Threats and Best Practices
Cybersecurity is now a major concern for everyone—from businesses and governments to everyday individuals. While the rapid pace of technology brings exciting new possibilities, it also opens the door to more sophisticated cyber threats. Recent high-profile cyberattacks, such as the Ascension attack and the French State DDoS attack, have demonstrated the devastating impact these threats can have.

Emerging Cyber Threats​

The world of cybersecurity is always evolving, with cybercriminals constantly finding new and more persistent ways to exploit vulnerabilities. According to Cybersecurity Ventures, global cybercrime damages are predicted to reach $10.5 trillion annually by 2025, underscoring the urgency for robust cybersecurity measures.

One significant evolution is seen in ransomware attacks, which have moved beyond simply encrypting data and demanding a ransom. Modern ransomware involves data exfiltration and threats of public disclosure, disrupting business operations and damaging reputations.

In May, the Russia-linked Black Basta group targeted Ascension, the largest non-profit Catholic health system in the U.S. The attack disrupted clinical operations across Ascension's 140 hospitals, leading to a loss of access to electronic health records (EHR). This disruption significantly affected patient care, forcing the company to pause some non-emergency elective procedures at its hospitals.

In addition to ransomware, another critical area of concern is supply chain attacks. These attacks target vulnerabilities within the supply chain network, often through third-party vendors, highlighting the importance of securing the entire supply chain.
Furthermore, cybercriminals are increasingly using AI to enhance their attack methods. Consider the following examples of AI-powered attacks taking over the headlines:
  • DeepLocker: A proof-of-concept AI-powered malware developed by IBM researchers, remaining hidden until it reaches a specific target.
  • Deepfake scams: Earlier this year, cybercriminals used AI to impersonate a company executive, convincing an employee to transfer a substantial amount of money.
AI-driven malware can adapt to avoid detection, and AI is used to create deepfakes for sophisticated social engineering attacks.
Distributed denial-of-service (DDoS) attacks also pose significant threats by overwhelming a target's network or website with a flood of internet traffic, rendering it unusable.

In March 2024, over 300 web domains and 177,000 IP addresses associated with the French government were targeted in a massive DDoS attack. The attack, claimed by Anonymous Sudan and suspected to be sympathetic to Russia, caused severe disruptions to major public service websites.

Best Practices For Building a Robust Cybersecurity Infrastructure​

Building a robust cybersecurity infrastructure is essential to combating these evolving threats. Adopting a zero-trust model ensures that every access request is verified, regardless of its origin. Key components include multi-factor authentication (MFA), least privilege access, and network segmentation.

Additionally, advanced monitoring tools are essential for detecting and responding to cyber threats in real time. Security information and event management (SIEM) systems and AI-driven analytics provide comprehensive visibility into network activities and alert security teams to potential threats.

Equally important is addressing human factors in cybersecurity. Employee training and awareness are crucial, as human error remains a significant vulnerability. Regular training programs can equip employees with the knowledge to recognize and respond to potential threats, such as phishing attacks, thereby creating a culture of security awareness and combatting successful attacks.

The Role Of AI In Cybersecurity Defense​

While artificial intelligence (AI) has enabled cybercriminals to expand their capabilities, it has also emerged as a powerful tool in the fight against cyber threats. AI's capabilities in threat detection and response have revolutionized cybersecurity defense strategies. By leveraging machine learning algorithms, AI can analyze vast amounts of data to identify patterns and anomalies that may indicate a cyber threat.

AI-driven cybersecurity solutions can automate threat detection and response, reducing the time it takes to mitigate attacks. This proactive approach allows organizations to avoid cybercriminals and protect their critical assets.

Join the Discussion​

As we navigate the complexities of the digital age, it's crucial to stay informed and proactive about cybersecurity. What are your thoughts on the emerging cyber threats and the role of AI in cybersecurity defense? Have you implemented any of the best practices mentioned above in your organization? Share your experiences and insights in the comments below. Let's work together to build a safer digital world!

Read the article: https://www.forbes.com/sites/forbes...rity-emerging-threats-and-how-to-combat-them/