Name: Security Automation on AWS
Start: 2020-03-19T16:30:00Z
End: 2020-03-19T16:30:19.000Z
Location: BrightTALK
Rating: 0

Data Theorem is a leading provider of modern application security. Its core mission is to prevent AppSec data breaches. The Data Theorem Analyzer Engine continuously scans mobile and web applications, APIs, and cloud resources in search of security flaws and data privacy gaps. Our security products provide automated hacking and full application stack discovery that protects your data.

Join Data Theorem's CEO, Himanshu Dwivedi, as he analyzes how a cloud resource within the iOS Bing mobile app was left open on the internet, which is another recent example of a full stack application attack. 

You will learn:
*How a full stack AppSec solution can prevent similar attacks
*How web or mobile clients and end up leaking millions of records from backend cloud resources

How An Unsecured Server Led To A Microsoft Data Breach

Review key findings from Verizon's 2020 Data Breach Incident Report (DBIR), which details how modern attacks target multiple layers in the application stack from web to APIs to the cloud. Examine real-world examples such as Capital One, 63Red, BHIM. Learn how to prevent similar attacks.

How modern data breaches attack every layer of the application stack

In this session we'll discuss how cyber security companies are seeing a huge uptick in mobile phishing due to recent reports of vaccines coming out to improve the pandemic.

Join Nick Palaszewski as he demonstrates how counterfeit apps are created daily. Not only can attackers utilize rogue mobile applications, but they can also use many other channels such as SMS, iMessage, 3rd party messaging platforms, and social media platforms. If Data Theorem's apps are not secured by taking all the proper precautions, your customers can be subject to these attacks especially while using unsecured wifi at an airport, coffee shop, hotel, etc.

Find out the status of your current application security posture: www.datatheorem.com/demo/

How attackers are taking advantage of Covid and Mobile Phishing

Learn about the importance of visibility and security for GraphQL.

GraphQL is a popular data query language that makes it easier to get data from a server to a client via an API call. It is commonly deployed as a piece of the technology stack for modern web and mobile applications. However, the complex nature of GraphQL makes it easier for hackers to exploit if embedded APIs and cloud resources are not secure. Learn about the right way to protect your AppSec stack that traditional approaches do not yet offer.

In this webinar, we’ll discuss the 5 most common GraphQL security vulnerabilities and how to leverage full stack security to overcome security gaps:

*Inconsistent authorization checks (similar to REST Auth)
*Failure to appropriately rate-limit
*Introspection may help attackers
*Introspection reveals non-public information
*Cost of high depth queries

5 Web Security Considerations for GraphQL

Key considerations for mobile and web app security.

This briefing from Phillip Tennen, iOS Software Engineer, summarizes the annual platform security updates and features from Apple, as well as what app developers need to do to stay compliant and secure user data on iOS 14. There are key considerations for mobile and web app security that Data Theorem will be adding to the analyzer engine.

Security and Privacy Changes in iOS 14

A summary for app developers on Android 11 and what they need to do to stay compliant and secure user data.

Key considerations for mobile and web app security.
This briefing from Umang Mathur, Android Software Engineer, summarizes the annual platform security updates and features from Google, as well as what app developers need to do to stay compliant and secure user data on Android 11. There are key considerations for mobile and web app security that Data Theorem will be adding to the analyzer engine.

Security and Privacy Changes in Android 11

Learn how to build a comprehensive security program that will automate key security policies across your entire data environment to receive critical alerts before your data is exposed.  Using a recent example of a data leak caused by a basic misconfiguration, we discuss how it can be avoided.
You will learn:
*What is a comprehensive AppSec program
*Example of how a misconfigured cloud setting led to a mobile app data breach
*Example of how a Microsoft ELS certificate led to a collaboration platform data breach
*How mobile, web, API and cloud apps all need to be secured together

How to Protect Application Attack Surfaces

Data Theorem customer, Provident Credit Union, discusses how they use Data Theorem to enforce their security policies for their banking app managed by their 3rd party vendor. They share how they remain compliant, protect customer data, and have 24/7 access to security reporting for audits. 

You will learn: 
*How to approach setting security policies with a 3rd party app vendor
*How to partner with your security vendor to streamline operations and get expert advice
*Making compliance a priority while building engaging customer app experiences


Speakers: 
Richard Smith, Field Director, Data Theorem
John Haggarty,  VP of Marketing and Digital Experience, Provident Credit Union

Managing AppSec Compliance at Provident Credit Union

Learn how third party trackers are hurting respectable brands by inadvertently sharing data about their customers with third parties without proper consent. Explore a technical deep dive on the security implications of this with regard to open source libraries and SDKs and how this can lead to serious data compliance violations. Then learn how to discover potential trackers in your apps and how to remediate potential vulnerabilities.

Identify Third Party Trackers in Apps

Learn how implementing a few simple headers across sensitive cookies will help prevent XSS attacks from being exploited. We'll also cover how you can do this across hundreds of web apps to make sure vulnerabilities aren't exploited at scale.

You will learn:
*How to identify vulnerabilities that can leave you vulnerable to XSS attacks
*How to prevent XSS attacks
*How security automation can protect you from multiple web attacks

Protect web apps from XSS exploits

Data Theorem CEO, Himanshu Dwivedi, interviews customers from RobinHood, Intuit, and East West Bank to discuss what is working with their AppSec programs, how to manage agile teams and how to maintain a proactive security approach.

You will learn:
*How to hire software engineers into your AppSec team
*How to approach compliance as an engineering problem
*How to be proactive about security

Speakers: 
Himanshu Dwivedi, CEO, Data Theorem
Erick Lee, Director of Security, Intuit
Jeremiah Kung, Global Head of Digital Cybersecurity, East West Bank
Karthik Rangarajan, Security Lead, Robinhood

The Future of FinTech AppSec Is Brighter Than You Think

In this session we cover how a popular mobile payments app recently exposed 7 million private banking records & is now facing fines and brand damage, as well as the security risks associated with using cloud provider building blocks for running client-facing apps.

You will learn:
*How to leverage a preventative hacking toolkit
*How each AppSec layer must be secured
*How a recent breach from a payment app could have been avoided

How to Prevent Data Loss With Full Stack Analysis

How does contact tracing work?

The current health crisis has forced countries to consider the use of mobile contact-tracing to track and control the spread of the virus. This video provides an introduction to this strategy, the proposed use, and initial implications on privacy and mobile security.

-What is contact tracing?
-Technical Implementation in China and South Korea
-Technical Implementation in the Apple/Google proposal
-Alternative options to protect data while saving lives

Contact Tracing 101

Overcoming the challenges of manual mobile AppSec with automation.

The demand for mobile apps has caused a need for developers to improve and release features at an unprecedented rate to stay ahead of the competition. Consequently, developers have introduced new models to develop mobile apps quicker and easier.

In these fast-paced development cycles, the risk of data security vulnerabilities and breach of regulatory requirements becomes more important than ever. With such an industry trend comes an imperative need to innovate the approach to mobile AppSec.

Join us to learn about the:

*Top challenges and problems facing security teams for mobile AppSec.
*Limitations of traditional mobile AppSec approaches and why a manual processes will not scale with DevOps.
*Ways to automate your mobile AppSec program to meet the fast pace demands of modern SDLCs without the staff.

How to Automate Mobile AppSec without the Staff

It is very hard, if not impossible, to secure something you don’t know exist. While security professionals spend countless hours on complex yet interesting issues that *may* be exploitable in the future, basic attacks are occurring every day with little to reviews. For example, a “dated trend” by effective yet lazy hackers is to search for API unknown by security teams, coined “Shadow APIs”, connect to these APIs, and extract data. While SQL Injection used to be the hack of choice, as a few simple SQL commands would either mean “pay dirt” or “move on to the next target”, the same can be said for Shadow API….Find, Connect, Extract. This talk will discuss one of many methods that are used in the wild to target Shadow APIs and export large volumes of data with a few clicks of a button (lines of code in python code :). Attendees will learn about a very basic yet non-so-obvious problem in securing data, and how hackers are using creative methods to steal large volumes of data.

How Hackers Hack Your APIs in 15 Minutes or Less

Data Theorem delivers automated security for DevOps, ushering in a new era of DevSecOps. This helps teams grow faster with fewer application security exposures.

Automated Security for DevOps

How can we prevent data breaches that are caused by very simple processes like closing an AWS bucket?

The crown jewel of DevSecOps is not only identifying vulnerabilities and analyzing them, but being able to resolve them before there is a breach. Automating this last step solves several problems:

*Less exposure time means less chance of breach
*Saves time fixing the violation or learning how to fix it
*Developers need not get involved with every security incident

In this session, we will show you an example of a customer that had an unauthenticated queue on AWS, how it was resolved, and how these failed attacks extend their cloud security posture.

Security Automation on AWS

APIs

API Management

apisecurity

Data Breach

Cloud Security

Remediation

DevOps

devsecops

Cloud Architecture

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

Cloud Computing

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IT Security

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IT Governance, Risk and Compliance

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Enterprise Applications

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Application Management

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Security Automation on AWS

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