Tag: JHU APL

Dean Kleissas, Research Engineer working on the IARPA MICrONS Project at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), discussed the project, what makes it unique, and how the team leverages serverless technology in this blog post. From the team’s experience with building and testing their ingest workflow at scale, Dean had some lessons learned […]

In our post, Building a Cloud-Specific Incident Response Plan, we walked through a hypothetical incident response (IR) managed on AWS with the Johns Hopkins University Applied Physics Laboratory (APL). With the recent launch of Amazon Macie, a new data classification and security service, you have additional controls to understand the type of data stored in […]

The Intelligence Advanced Research Projects Activity (IARPA) Machine Intelligence from Cortical Networks (MICrONS) program seeks to revolutionize machine learning by better understanding the representations, transformations, and learning rules employed by the brain. We spoke with Dean Kleissas, Research Engineer working on the IARPA MICrONS Project at the Johns Hopkins University Applied Physics Laboratory (JHU/APL), and […]

In order for your organization to be prepared before a security event occurs, there are unique security visibility, and automation controls that AWS provides. Incident response does not only have to be reactive. With the cloud, your ability to proactively detect, react, and recover can be easier, faster, cheaper, and more effective. What is an […]