Artificial Intelligence (AI) is the simulation of human intelligence processes by machines.
Machine learning, a subset of AI, is now the backbone of nearly all software. Yet, the question of what AI actually does remains vague at best. To clarify some of AI’s functions, here are three ways AI is used to good effect in security.
Today, AI is hyped as the backbone in software across every category. By the year 2021, cybercrime losses will cost upwards of $6 trillion annually. As cyberattacks grow in volume and complexity, AI is helping under-resourced security operations analysts stay ahead of threats. A new wave of AI-powered solutions and products keep bad actors on their toes while giving IT teams much needed relief.
By combining a layered strategy with AI and ML, businesses of all sizes can increase their resistance to attacks and breaches.
- Automate detection and remediation of known threats.
- Strengthen password protection and authenticity detection systems (biometrics and other authenticators).
- Detection of outlier is the core of user and entity behavior analytics.
AI can be trained to recognize the malicious patterns seen in those previous threats and apply its learning to recognize new, unknown attacks.
All forms of AI are in their infancy. Dueling AIs are likely in our near future. In any case, having AI capabilities in cybersecurity is not a luxury but a necessity given an ever-growing attack surface and AI’s growing presence in both defense and attack teams’ toolboxes.
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