DATA SECURITY, PLATFORM SECURITY
mParticle | October 10, 2022
mParticle, a leader in customer data infrastructure, announced today that it is introducing Custom Access Roles to its platform, extending its enterprise-grade controls to enhance security and simplify compliance.
With customer data breaches in the news almost daily, there is a need for more robust data controls, especially for the world's largest brands. Modern security and compliance practices take a least privileged access approach to platform roles. To achieve true least privileged access, companies need to customize their roles to fit their business. Custom Access Roles give customers the flexibility to create unique roles tailored to the needs of not only marketers, developers, and product managers, but anyone in the company who works with customer data.
Custom Access Roles limit the number of users that have privileged access, thereby protecting customer data. As teams set out to build their first-party data set, data protection becomes even more important. Not all users need access to all customer data, and admins need to be able to assign access based on the nuances of their business. With Custom Access Roles, mParticle customers can decide which permissions belong to which roles, ensuring that the right users have access to the right data. For example, a "Developer" role could have access to set up a new integration, but not to create audiences. An "Auditor" role could have access to view reporting, but not to edit reports.
The mParticle Customer Data Platform (CDP) is the trusted customer data pipeline of the world's largest brands. It is the only CDP on the market with advanced security and privacy controls built for the compliance regulations enterprise organizations face. With over 300+ tested and trusted out-of-the-box integrations, infrastructure that spans the globe, and a solutions team with a proven track record of success. Custom Access Roles is another example of mParticle's focus on addressing enterprise-level challenges as they continue to evolve.
mParticle is an AI Customer Data Platform that powers the entire marketing stack with real-time customer data. Companies like NBCUniversal, JetBlue, Venmo, and Airbnb use mParticle to simplify their customer data infrastructure, maximize the value of their data, and accelerate growth at scale. Over the last year, the company has raised $150M in funding and acquired two startups, Vidora and Indicative. Founded in 2013, mParticle is headquartered in New York City with employees around the globe.
DATA SECURITY, PLATFORM SECURITY, SOFTWARE SECURITY
SentinelOne | September 22, 2022
SentinelOne, an autonomous cybersecurity platform company, today launched the inaugural LABScon, a conference dedicated to advancing cybersecurity research for the benefit of collective digital defense. The event features novel findings from sought-after voices in cybersecurity and groundbreaking research by leading research teams.
“The goal of LABScon is to provide a venue for advanced security collaboration and community building,” said Migo Kedem, VP Growth and Head of SentinelLabs, SentinelOne. “We are pleased to unite the cybersecurity community - researchers, vendors, and practitioners - to strengthen collective understanding of the security landscape. Only through shared knowledge and collaboration will cybersecurity evolve.”
The conference lineup features prominent speakers and world-class researchers presenting on today's most important cyber security topics. Conference highlights include:
Mark Russinovich, Microsoft Azure CTO, presents the story of his seminal malware analysis toolkit, which transformed malware analysis and forensic investigation
Dmitri Alperovitch, Executive Chairman of the Silverado Policy Accelerator and CrowdStrike Co-Founder and former CTO, discusses cyberwarfare and effective policies
Morgan Adamski, Director of NSA's Cyber Collaboration Center, keynotes “Operational Collaboration: The Realities of Success”
Chris Krebs, the first director of the Department of Homeland Security’s (DHS) Cybersecurity and Infrastructure Security Agency (CISA) and Partner of the Krebs Stamos Group, shares in-the-trenches perspectives on cybersecurity and government
M.J. Emanuel, CISA Incident Response Analyst, delves into recent cyberattacks targeting satellite communications and critical infrastructure
Mauro Vignati, International Red Cross, discusses the line between combatants and digital collaborators in war
Thomas Rid, Professor of Strategic Studies and founding director of the Alperovitch Institute for Cybersecurity Studies at Johns Hopkins SAIS, debuts cybersecurity discoveries
Kim Zetter, world-renowned cybersecurity author, facilitates fireside chats and shares perspectives on cyberwar
Kris McConkey, PwC’s Global Cyber Threat Intelligence Practice Lead, releases research detailing new activity emanating from Chinese advanced persistent threat (APT) groups
Mandiant, Sophos, Volexity, BlackLotus, PwC, and Binarly drops new APT research and vulnerabilities
SentinelLabs releases “Metador,” our most ambitious APT research to date
LABScon is hosted by SentinelLabs, a world-class team of security researchers that identifies critical vulnerabilities, new attack vectors, malware strains, and threat actors. The event is sponsored by Stairwell, Luta Security, Cisco Talos, GreyNoise, HP Wolf Security, Aesir, Binarly, Team Cymru, and ReversingLabs.
To stay updated with groundbreaking threat research and cybersecurity discoveries, visit https://www.sentinelone.com/labs/
SentinelOne’s cybersecurity solution encompasses AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous XDR platform.
DATA SECURITY,PLATFORM SECURITY,SOFTWARE SECURITY
Datadog | November 30, 2022
Datadog, Inc., the monitoring and security platform for cloud applications, today announced a new integration with Amazon Security Lake. The integration, announced during AWS re:Invent, makes it easy for Amazon Security Lake users to send cloud security logs to Datadog in a standard format.
Building data pipelines in order to aggregate and route security logs to various security analytics solutions can be a cumbersome and time-consuming process. For Amazon Security Lake customers, Datadog's integration provides an easy way to send security logs to Datadog with minimal configuration required.
Once security logs are ingested into Datadog, customers can analyze and identify threats through out-of-the-box detection rules or by writing custom security rules. They can also do deeper investigations using Datadog's log management tools.
"Amazon Security Lake makes it easier for teams to manage their cloud security data and analyze it with partner solutions of their choice," said Rod Wallace, General Manager for Amazon Security Lake. "Datadog's integration with Amazon Security Lake will allow customers to collect their security logs to improve their cybersecurity posture and send them to Datadog for analysis leveraging an open source schema."
"Security threat detection and investigation is dependent on an effective logging strategy that ensures critical logs are being properly analyzed. However, managing dozens of log integrations from cloud-hosted accounts and entities can be cumbersome and lead to gaps in visibility. "Amazon Security Lake and Datadog are working together to provide an easy way to set up and manage important log integrations for Datadog Cloud SIEM, giving customers deep visibility into their most critical infrastructure."
Pierre Betouin, SVP of Security Products at Datadog
Datadog is the monitoring and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.