Radware, a provider of application delivery DDoS attack protection solutions, this week unveiled its latest attack mitigation platform designed to help carriers and cloud providers protect against high volume DDoS attacks.
The recent development of the democratization of Machine Learning is an indication that it’s time to consider adding it to our security arsenal, as it offers an opportunity to more dynamically measure risk.
While individual products and technologies are important weapons, they operate in a silo and lose sight of the bigger picture. The reality is that you can’t just rely on a single defense or a silver bullet.
Now more than ever, context-based decisions have become a necessity. This is because the identification process of an advanced persistent attack campaign is all about putting events in the right context.
As long as the “hikers and bear” analogy is told in boardrooms we will have difficulty communicating the value of a proportionate security model where we design security measures for different types of adversaries with different types of objectives.