Data Theorem Showcasing Latest API Security Innovations Protecting Applications from Threats and Attacks at Apidays Paris Next Week

Company Hosting Workshop Titled “What is Missing in Your API Security Program?” on Dec. 6; Presenting “Cloud APIs, ChatGPT 4-Turbo, and Attack Path Visualization” on Dec. 7

PALO ALTO, Calif.–(BUSINESS WIRE)–#APIsecurity–Data Theorem, Inc., a leading provider of modern application security, today announced it will demonstrate the latest in API Security innovations at Apidays Paris next week. The company’s security and AppSec experts will be available during the event to meet with attendees and discuss the latest in cloud-based application and API security to help reduce API threats and attacks to their organizations.

Exhibiting at Apidays Paris in Booth No. 5, Data Theorem will demonstrate its broad AppSec portfolio that protects organizations from data breaches with application security testing and protection for modern API-driven services and cloud-based applications. This includes its recently launched industry-first attack path analysis of APIs and software supply chain exploits in its Cloud Secure solution. The new release includes machine learning (ML)-based hacker toolkits and improved visualizations that boost discovery of potential data breaches in first-party APIs and third-party software supply chain assets hosted in multi-cloud environments.

At the event, the company will host a workshop titled “What is Missing in Your API Security Program?” on Dec. 6 at 2 pm CET at Aubepine 4, led by Richard Smith, Data Theorem Director. Participants will learn about the common challenges that are easily missed in most API security programs, and what they can do to best protect their data from API threats and attacks.

Data Theorem will also present “Cloud APIs, ChatGPT 4-Turbo, and Attack Path Visualization” on Dec. 7 at 3:50 pm CET at Aubebine 6. Doug Dooley, Data Theorem COO, will discuss how ChatGTP-4 Turbo powers a new class of Enterprise AI Assistants. Large quantities of data from APIs are fueling these new AI Assistants, and defending APIs from exploits without a deeper contextual and visual understanding of these modern attacks is a growing problem for businesses looking to protect their data. Attendees will learn techniques for securing their information, including how visualizing the attack path of these modern API exploits is helping customers protect their data.

Apidays Paris attendees are invited to visit Data Theorem’s Booth No. 5 during the Expo hours. For more information, visit the booth and come meet the Data Theorem team.

Data Theorem’s broad AppSec portfolio protects organizations from data breaches with application security testing and protection for modern web frameworks, API-driven microservices and cloud resources. Its solutions are powered by its award-winning Analyzer Engine which leverages a new type of dynamic and runtime analysis that is fully integrated into the CI/CD process, and enables organizations to conduct continuous, automated security inspection and remediation. Data Theorem is one of the first vendors to provide a full stack application security analyzer that connects attack surfaces of applications starting at the client layers found in mobile and web, the network layers found in APIs, and the infrastructure layers found in cloud services.

About Doug Dooley

Mr. Dooley is the Chief Operating Officer of Data Theorem. He heads up product strategy, marketing, sales, and customer success teams. Before joining Data Theorem, Mr. Dooley worked in venture capital leading investments of cloud-centric security, machine-learning, and infrastructure startups for Venrock. While at Venrock, he served on the boards of Evident.io (Palo Alto Networks), Niara (HPE), and VeloCloud (VMware). Prior to Venrock, Mr. Dooley spent almost two decades as an entrepreneur and technology executive at some of the most innovative and market dominant technology infrastructure companies – ranging from large corporations such as Cisco and Intel to security and virtualization startups such as Neoteris, NetScreen, and RingCube. Earlier in his career, he held various management, engineering, sales, and marketing roles at Juniper Networks, Inktomi, and Nortel Networks. Mr. Dooley earned a B.S. in Computer Engineering from Virginia Tech.

About Richard Smith

Mr. Smith is a Director at Data Theorem. He works with security professionals and developers across organizations of different sizes to better understand market trends and needs around mobile app security, mobile app fraud and API security. Before joining Data Theorem, Mr. Smith worked for Cisco Systems helping different organizations develop security solutions across many different areas of technology including network security, cloud security, data center security, and identity management. Prior to Cisco Systems, he worked as an entrepreneur and technology influencer at collaboration leader TANDEBRG and virtualization startup RingCube Technologies. Mr. Smith earned a B.S. in Management Information Systems from San Jose State University.

About Data Theorem

Data Theorem is a leading provider of modern application security, helping customers prevent AppSec data breaches. Its products focus on API security, cloud (serverless apps, CSPM, CWPP, CNAPP), mobile apps (iOS and Android), and web apps (single-page apps). Its core mission is to analyze and secure any modern application anytime, anywhere. The award-winning Data Theorem Analyzer Engine continuously analyzes APIs, Web, Mobile, and Cloud applications in search of security flaws and data privacy gaps. The company has detected more than 5 billion application incidents and currently secures more than 25,000 modern applications for its enterprise customers around the world. Data Theorem is headquartered in Palo Alto, Calif., with offices in New York and Paris. For more information visit www.datatheorem.com.

Data Theorem and TrustKit are trademarks of Data Theorem, Inc. All other trademarks are the property of their respective owners.

Contacts

Dan Spalding

dan@datatheorem.com
(408) 960-9297