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Nicolás Acosta, CISO at Corona

Innovation more understandable

"We make innovation more understandable, more worldly."

Our guest Nicolás is the Chief Information Security Officer (CISO) of Corona; a Colombian Multinational company dedicated to manufacturing ceramics for home improvement, construction, industry,...



Purple and pink plasma ball on Unsplash: https://unsplash.com/photos/jM6Y2nhsAtk

Preventing Hacks at CERN

A chat with Andrés Gómez.

Have you heard about God’s particle? In 2012, the Large Hadron Collider (LHC) found the Higgs Boson; a particle predicted to exist in the 1960s thanks to the work of Peter Higgs and other...



Binary machine learning. Credits: https://unsplash.com/photos/h3sAF1cVURw

Binary learning

Learning to exploit binaries

While our main focus, as stated previously, is to apply machine learning (ML) techniques to the discovery of vulnerabilities in source code, that is, a white-box approach to ML-guided hacking,...



Depiction of a deep neural network. Credits: https://unsplash.com/photos/R84Oy89aNKs

Deep Hacking

Deep learning for vulnerability discovery

If we have learned anything so far in our quest to understand how machine learning (ML) can be used to detect vulnerabilities in source code, it’s that what matters the most in this process are...



The actual serial killer doll

The anomaly serial killer doll

Hunting missing checks with anomaly detection

In our previous article we focused on taint-style vulnerabilites, i.e., those that are essentially due to the lack of input sanitization which allows tainted, user-controlled data to reach...



Screen showing source code

Exploiting code graphs

Mining graph representations for vulnerabilities

As we have seen in our previous revision article, probably the most interesting and successful approach to automated vulnerability detection is the pattern-based approach. Since we expect to...



Robot playing the piano

Crash course in machine learning

A survey of machine learning algorithms

In this article we clarify some of the undefined terms in our previous article and thereby explore a selection of machine learning algorithms and their applications to information security. This...



Can machines learn to hack?

Machine-learning to hack

Machine learning for vulnerability discovery

To date the most important security vulnerabilities have been found via laborius code auditing. Also, this is the only way vulnerabilities can be found and fixed during development. However, as...




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