Appsecco to host training session at Black Hat Asia 2019
Black Hat Asia 2019 runs for four days from Tuesday March 26th to Friday March 29th 2019 and Appsecco’s training session (which sold out at the Black Hat USA event held in Las Vegas earlier this year), will take place on 26th and 27th March 2019.
Entitled 'Automated Defence Using Cloud Services For AWS, Azure & GCP', Appsecco’s training session has been designed to help delegates understand how simple cloud services can be utilised to set-up lightweight systems for automated security defence.
With the big three IAAS Cloud Providers (AWS, Azure & GCP) each offering something slightly different, as part of this hands-on training Appsecco’s security experts will not only cover what the essential components of an automated security defence set-up should be but also how to implement them across each provider.
Attendees will also learn how to defend their cloud infrastructure using Serverless technologies and ElasticStack. ElasticStack collects, analyses, logs and triggers alerts based on a configured rule-set, while Serverless drives the defence to perform automated blocking and is configured based on the use case and type of attacks.
The current Serverless solution works on AWS, Azure and GCP and can be extended for other providers and custom solutions such as in-house firewalls, IPS, Appsecco’s Automation and Security Expert, Madhu Akula, will be hosting the workshop alongside Appsecco’s Security Engineer, Bharath Kumar. Each possess extensive experience in the industry, ranging from client facing assignments building scalable and secure infrastructure, to publishing industry leading research.
Appsecco’s co-founder, Gwilym Lewis, said: “We’re thrilled to be bringing our sold-out training from Black Hat USA to Black Hat Asia. Day one starts by setting the stage for automated defence by tackling centralised monitoring and alerting systems, followed by a focus on day two on advancing the set-up by adding Serverless stack to defend against the infrastructure based on near real-time alerts to match DevOps speed.”
