Artificial Intelligence and Cybersecurity

IT/OT convergence could spell disaster for industries.

Researchers found that tools like OpenAI's GPT-3 helped craft devilishly effective spearphishing messages.

While there's a ton of unbounded optimism from vendor marketing and consultant types, practitioners are still reserving a lot of judgment.

Supervised Learning is limited in its network security abilities like finding threats because it only looks for specifics that it has seen or labeled before, whereas Unsupervised Learning is constantly searching the network to find anomalies.

AI-based cybersecurity can augment the capabilities of IT staff and help organisations deflect cyber threats, according to the latest market study by Frost & Sullivan.

As long as intentionality remains an exclusively human trait of which AI is deprived on the global scale, the human factor will remain cybersecurity’s weakest link

The combination of binary visualization and machine learning is a powerful technique that can provide new solutions to old problems.

There is a tendency to believe that artificial intelligence can solve all problems associated with enterprise security programmes. While there is a lot to gain from AI, there is a danger that companies are overly optimistic about exactly what the technology can deliver.

With the help of sophisticated algorithms, AI is slowly proving its worth as a robust tool to secure enterprise networks

Facing an increasingly complex security landscape, IT organizations cannot rely on manual processes and internal expertise alone.

Two new papers give an insight into how artificial technology will be used for cybersecurity in the future.

It will become the problem and the solution.