According to researchers that contributed to the 2022 Cybersecurity Almanac, $10.5 trillion will be spent combatting cybercrime. Three times as much as in 2015 ($3 trillion). The quantity of data being generated globally is increasing, making it harder to identify and stop problems.
For instance, 80% of telecom companies are certain that they will need AI in order to respond to cyberattacks. Cybercriminals are after the professional sector (934 incidents were recorded in 2020). Cyberattacks affect the public sector, manufacturing, and healthcare.
Six primary applications of AI in cybersecurity
Imagine a campus with a number of structures. Since there cannot possibly be a guard at every entrance, getting inside is not difficult. AI can be useful in this situation since cameras can scan visitor’s faces and identify those who “sit on someone’s trail” and follow authorized staff inside the premises. It might be a swindler or a worker who was too indolent to display a pass.
- Malicious code and activity detection on corporate networks
- Analyses of encrypted traffic
- Detection of altered and false images.
- Voice, language, and speech recognition
- Providing suggestions
- Search for software vulnerabilities automatically
Conclusion
The future of AI in cybersecurity is bright. However, just like any other technology, it needs to be used responsibly. It is not a panacea, and even the most cutting-edge technology does not guarantee complete security. AI will not protect you from major threats brought on by disregarding fundamental cybersecurity guidelines. If a clear ecosystem that can adapt to a changing business network has been developed, a smart algorithm should be put into place.
To read our blog on “How To become an expert in cybersecurity,” click here
