Automation and data science are long-term investments when it comes to cybersecurity
Understanding the challenges of data science is important before applying it in cybersecurity.
Tag: automation
Don’t just automate, address the root cause
Its important to get the fundamentals right before considering what automation techniques you want to employ in your cybersecurity program.
Machine Learning is no automatic security fix
Guest Post: Why has it taken so long for Machine Learning to become feasible?
The promises and peril of machine-learning for cybersecurity
Guest Post: How can machine learning be used in cybersecurity without data being compromised by malicious actors?
Even network engineers can learn Git
Guest Post: Network automation means managing some code. Github makes it easier than you might think.
Understanding the landscape around network automation
Guest Post: Automation should not necessarily be seen as competition for network engineers but another tool in their toolbox.
Opinion: autonomic, automated and reality
Guest Post: Network engineers need to get their heads out of configuration and features, and into solving business problems.
Detecting anomalies in DNS traffic using machine learning
Guest Post: Machine learning can assist with overcoming some of the shortcomings of manual anomaly detection processes.
Using StackStorm to automate support for 20,000 servers
Guest Post: Verizon shares its experience developing an IT automation platform spanning more than 95% of its server population across the globe.
Secure machine learning for network analytics
Guest Post: Study finds that Deep Learning has the potential to improve the efficiency and reduce the risk of mistakes with detecting anomalies in network data.