Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Sets SecurityScorecard Apart!

Here are 3 things that set SecurityScorecard apart from the competition: Massive data set: We’ve rated 12 million organizations worldwide. If an organization is not on the data set, it takes us just a few minutes to rate it while our competitors take days to do the same. Huge marketplace of applications and services: We have 100s of partners that enrich the value of our platform.

Datadog on Detecting Threats using Network Traffic Flows

At Datadog’s scale, with over 18,000 customers sending trillions of data points per day, analyzing the volume of data coming in can be challenging. One of the largest log sources internally at Datadog are networking logs. Being able to analyze and make sense of them is critical to keep Datadog secure. To help with the task, we have built a flow analysis pipeline that alerts against network level Indicators of Compromise (IOCs) like IP address, port combinations, and data exchanged.

ONUG 2022 How Goldman Sachs Uses a Digital Twin Platform to Improve Security, Agility & Reliability

The network team at Goldman Sachs has reduced application delivery time to under one hour, successfully scaled their automation stack, and reduced P1 outages by implementing Forward Enterprise across their entire network. Joshua Matheus, Managing Director at Goldman Sachs, will detail the pain points that motivated the need for a single source of network truth, describe the process of selecting and implementing a digital twin, and outline the results that his network team has achieved since deployment.

ONUG Spring 2022 Session: Verify security posture in hybrid multi-cloud environments

In an era when hybrid multi-cloud environments are the norm, extending the carefully architected network security policies is virtually impossible because IT teams cannot visualize their multi-cloud estate or monitor traffic behavior past the point of egress. Piecing together the cloud security posture requires combining data from multiple siloed applications.

AI in Cybersecurity - A Double-Edged Sword | Cybersecurity Sessions #7 with Elaine K. Lee

It’s likely that we encounter artificial intelligence more often than we realize. Just as AI can be used to facilitate fraud and spread misinformation via deepfakes and sophisticated identity theft, it can also be used to develop algorithms that detect cyber-attacks in the blink of an eye. In this episode of the Cybersecurity Sessions, Andy is joined by Elaine Lee (Data Scientist, Mimecast) to delve into the benefits and risks of AI in cybersecurity, examining how artificial intelligence can be used both as an offensive weapon by adversaries and by security teams to defend against attacks.