As the chief scientist at WhiteHat Security, I oversee all research and development for the WhiteHat Sentinel product line, defining and driving the underlying technology.
Today, we released the results of our newest threat research, compiled in the 2018 Application Security Statistics report, “The Evolution of the Secure Software Lifecycle.”
October marks the 15th annual National Cyber Security Awareness Month. What began as a collaborative effort between government and industry has possibly never been more relevant than now, serving as a reminder to not only be more conscious of cybersecurity threats, but how we as individuals and businesses can proactively mitigate cyberthreats.
Facebook announced this morning that between 50 and 90 million accounts have been breached due to unnamed hackers stealing the access tokens of other users ...
Earlier this month, we celebrated National Coding Week. To mark the occasion, we caught up with Abishek Ramasubramanian, one of our coders. He told us about his career path, gave us an insight into a working day as a WhiteHat Security software engineer and offered some practical advice for anyone thinking of becoming a coder.
There is no 100 percent secure, completely flawless computer program, yet security practices are often an after thought in programming. But even with the best security practices 'baked into' the software life cycle (SLC), there is still the possibility of a zero-day vulnerability existing in the code.
Now in its fifth year, National Coding Week has gone from strength to strength. Founded in the UK to help people improve their digital literacy and aiming to fill the growing IT skills gap, it is now a truly global event with huge amounts of interest from the press and exposure across social media platforms.
In order to fully assess a client website, it needs to be first fully mapped and scanned--with all links, forms, APIs, etc. discovered. Currently, a lot of human time and resources are dedicated to these tasks. Using ML, we could potentially speed up this process even more, further decreasing time to value for our clients.
There is no doubt that AI and ML offer major advantages for modern cybersecurity applications compared to older, automated versions. The ability for applications to learn based on experience and use the knowledge to inform their behavior when confronted with similar issues in the future delivers a significant benefit.
WhiteHat is positioned extremely well to capitalize on recent developments in ML. ML allows us to make sense of the data, train a set of expert networks on this data, and then use these networks to supplement our human element.