Artificial intelligence (AI) applications for cybersecurity tasks are attracting increased attention from the public and private sectors. Estimates indicate that the cybersecurity AI market will grow to a net worth of $34.8 billion by 2025. The latest national cybersecurity and defense strategies of several governments explicitly mention AI capabilities. At the same time, initiatives are emerging worldwide to define new standards and certification procedures to build user confidence in AI.


Traditional cybersecurity controls have become obsolete

For most security scenarios, AI enables capabilities that go beyond the identification of known threats. AI models can determine the maliciousness of a file without prior knowledge of the file, relying instead on analysis of the file’s innate properties. With sufficient quality data available, AI techniques easily outperform traditional prevention approaches based on signatures or indicators of compromise (IoC), which retroactively look for artifacts left behind by an attacker during a breach.

Artificial Intelligence

Applying AI to cybersecurity

AI is ideally suited to solve some of our toughest problems, and cybersecurity certainly falls into that category. With today’s ever-evolving cyber attacks and proliferation of devices, machine learning and artificial intelligence can be used to keep up with the bad guys, automate threat detection and respond more efficiently than traditional software-based approaches.

At the same time, cybersecurity presents some unique challenges:

A self-learning, artificial intelligence-based cybersecurity posture management system should be able to solve many of these challenges. Technologies exist to properly train a self-learning system to collect data continuously and independently of all information systems in your company. This data is then analyzed and used to perform pattern correlation between millions and billions of signals relevant to the enterprise attack surface.

The result is new levels of intelligence that feed human teams in a variety of cybersecurity categories, including:


Making AI in cybersecurity trustworthy

Nascent standards and certification methods for AI in cybersecurity should focus on supporting AI reliability, rather than trust.

Conceptually and operationally, supporting AI reliability is different from promoting AI reliability. AI reliability implies that the technology can technically perform cybersecurity tasks successfully, but the risks of the technology behaving differently than expected are too high to give up any form of control or monitoring over the execution of the delegated task.

3 ways Artificial Intelligence in cybersecurity can be trusted:

Artificial Intelligence

Use of AI by adversaries

IT security professionals can use artificial intelligence and machine learning (ML) to enforce good cybersecurity practices and reduce the attack surface rather than constantly chasing malicious activity. At the same time, government-sponsored attackers, cybercriminal gangs and cybercriminals can employ these same artificial intelligence techniques to defeat defenses and avoid detection.

As AI matures and increasingly moves into the cybersecurity space, companies will need to protect against the potential downsides of this exciting new technology:Artificial Intelligence



In recent years, AI has emerged as a necessary technology to augment the efforts of human information security teams. Since humans can no longer scale to adequately protect the dynamic enterprise attack surface, artificial intelligence provides much-needed analysis and threat identification that cybersecurity professionals can act upon to reduce breach risk and improve security posture. In security, AI can identify and prioritize risk, instantly detect any malware on a network, guide incident response and detect intrusions before they start.

AI enables cybersecurity teams to form powerful human-machine partnerships that push the boundaries of our knowledge, enrich our lives, and drive cybersecurity forward in a way that seems greater than the sum of its parts.

Do you have any important AI tips in cybersecurity? If so, feel free to let us know below in the comments.