Enterprises Leveraging AI to Counteract Cyberattacks: 6 Effective Strategies
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The Battle of AI in Cybersecurity
In today's digital world, artificial intelligence (AI) is playing a crucial role in cybersecurity. As cybercriminals get smarter and faster, companies are turning to AI to help defend against these increasingly sophisticated attacks.
Why AI is a Must-Have for Cyber Defenses
Every second counts in the world of cybersecurity. According to Adam Meyers from CrowdStrike, cyber attackers are getting quicker every year, shaving off precious minutes from their attack times. This means security teams must be incredibly swift in detecting and stopping threats before they can cause damage.
Gartner's recent study highlights the need for proactive measures. It emphasizes that relying on traditional methods to detect breaches is no longer enough. Instead, organizations must anticipate potential threats and take action before an attack occurs.
The Rise of AI-Driven Cybercrime
A recent report from Darktrace reveals a worrying trend: cybercriminals are using AI not just for creating deepfakes but also for launching large-scale phishing attacks that mimic legitimate campaigns. Even more concerning, malware-as-a-service (MaaS) now accounts for over half of all cyberattacks, signaling a shift towards automated cybercrime.
Microsoft's Vasu Jakkal pointed out how rapidly the threat landscape is changing. Just a few years ago, there were about 567 password attacks per second. Today, that number has skyrocketed to 7,000 per second, underscoring the urgency for more advanced security measures.
How Companies Are Fighting Back
Katherine Mowen from Rate Companies, a major player in the mortgage industry, shared insights on how her team is using AI to combat these threats. With billions in transactions at stake, Rate Companies is a prime target for cyberattacks. Mowen's strategy involves AI threat modeling and zero-trust security, which are proving effective in bolstering their defenses.
Mowen and other security leaders are leveraging AI to improve threat detection and automate responses. This proactive approach is essential as attackers continue to refine their techniques. For instance, AI-driven threat detection is helping companies better identify and stop phishing attacks, which have become increasingly sophisticated.
The Importance of Speed in Incident Response
In cybersecurity, speed is everything. Mowen suggests using a 1-10-60 model for security operations: detect an intrusion in one minute, triage it in ten, and contain it within sixty. This rapid response is crucial to minimizing the impact of breaches.
AI is also helping organizations manage their attack surfaces, which are constantly evolving due to mobile devices, cloud migrations, and IoT sensors. By using AI to manage exposure and detect vulnerabilities in real time, companies can better protect themselves against threats.
Human and AI: A Collaborative Approach
While AI is a powerful tool in the fight against cybercrime, it's not a replacement for human expertise. Instead, it's about collaboration. Elia Zaitsev from CrowdStrike emphasizes that AI should augment human capabilities, allowing security teams to make faster and smarter decisions.
As cyber threats continue to evolve, the partnership between AI and human defenders is more important than ever. Together, they can create a more resilient and adaptive security posture, ensuring that organizations stay one step ahead of cybercriminals.