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Data Security

Cohesity and Carahsoft Partner to Offer Data Security to Public Sector

Cohesity Announces Partnership with Carahsoft

Cohesity, an industry leader in data security and management, and Carahsoft Technology Corp., a provider of trusted government IT solutions, announced entering into a partnership. Under the agreement, Carahsoft plans to act as a distributor for Cohesity, making Cohesity's data cloud platform accessible to the Public Sector via Carahsoft's reseller partners, Information Technology Enterprise Solutions – Software 2 (ITES-SW2), NASA Solutions for Enterprise-Wide Procurement (SEWP) V, National Association of State Procurement Officials (NASPO) ValuePoint, OMNIA Partners, National Cooperative Purchasing Alliance (NCPA), and E&I Cooperative service contract.

The extensive data cloud platform from Cohesity consolidates data sources, assists in the elimination of infrastructure silos, and automates data management tasks. The platform streamlines data management by offering a single, user-friendly interface for managing data in cloud, on-premises, and edge environments. Cohesity's data security and management solutions offer the public sector with granular control over their data, enabling them to comply with legal and regulatory requirements and protect sensitive data.

The Cohesity Data Cloud’s key capabilities include:

  • Data Protection: Captures backup copies of data that are preserved inalterably and are instantaneously recoverable in an instance of a ransomware attack or other business disruptions.

  • Data Security: Provides enhanced resilience to cyber threats via cyber vaulting, data classification, threat intelligence and scanning, and bidirectional integration with the security operations center of agencies.

  • Data Mobility: Enables agencies to transfer data across hybrid multi-cloud environments in a secure and efficient manner, thereby reducing costs and increasing flexibility.

  • Data Access: Eliminates unnecessary copies and efficiently manages files and objects at scale.

  • Data Insight: Enables agencies to search, classify, and analyze data worldwide across their entire infrastructure in order to provide business value or pinpoint sensitive data for compliance.

Kit Beall, Chief Revenue Officer at Cohesity, said,

We are pleased to partner with Carahsoft and its resellers to provide U.S. government agencies with powerful novel capabilities based on our leadership position in data security and management.

[Source – GlobeNewswire]

Beall also added that they look forward to expanding their strategic partnership with Carahsoft to assist public sector customers in strengthening their cyberspace resilience in the face of evolving advanced adversaries.

About Cohesity

Cohesity is an industry leader in AI-powered data management and security. The company makes it simple to secure, protect, manage, and extract value from data — across the data center, cloud, and edge. It provides organizations with comprehensive data security and management capabilities, such as AI-based threat detection, immutable backup snapshots, and monitoring malicious behavior, among others, to defend against cybersecurity threats.

About Carahsoft

Carahsoft Technology Corp. is a trusted government IT solutions provider serving public sector organizations across local, state, and federal government agencies and healthcare and education markets. As the master government aggregator for vendor partners, the company provides solutions for multicloud, DevSecOps, cybersecurity, Big Data, AI, customer experience and engagement, open source, and other domains. Working with resellers, systems integrators, and consultants, Carahsoft's sales and marketing teams provide hundreds of contract vehicles with industry-leading IT products, services, and training.

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Keeper Security, Inc. | September 25, 2023

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We therefore work closely with silicon players like Axiado to ensure a new wave of platform security solutions can fit well within OCP's DC-SCM2.0 specifications. Our engineering teams collaborate to ensure interoperability between TCU - based DC-SCM and TYAN's industry leading Host Processor Modules." William Lin, President of Enterprise & Networking Business Group, Wistron Corp. "Wistron is a key proponent for OCP based initiatives such as DC-SCM as it aligns well with our end customers in the Enterprise and CSP markets. We are therefore excited to look for opportunities to collaborate with chip-level disruptors such as Axiado which complement our go-to-market vision and provide new innovations in platform security. Steven Lu, Executive Vice President, Wiwynn "The collaboration between Wiwynn and Axiado signifies a critical leap forward for the cloud service provider and enterprise markets. This shift toward modular systems aligns perfectly with the industry's trajectory and reinforces Wiwynn's position as a Tier 1 player." About Axiado's TCU The Axiado AX3000/AX2000 TCUs represent a new category of forensic-enabled cybersecurity processors designed to enhance existing zero-trust models. TCUs combine silicon, AI and data collection, and software into a compact, power-efficient SoC with unique AI functionality explicitly designed for security. The single-chip solution is rooted in real-time and proactive AI with pre-emptive threat detection and comprehensive protection provided by a dedicated coprocessor that allows manufacturers to build safe, secure, and resilient solutions by design and default. The TCU relies extensively on AI-based real-time threat mitigation with forensic-enabled hardware fingerprints as well as platform monitoring and optimization (clocks/voltages/temperature) using AI and machine learning (ML). The TCU solution includes root of trust (RoT), baseboard management controller (BMC), trusted platform module (TPM), hardware security module, SmartNIC, firewall, and AI and ML technologies. About Axiado Axiado is a cybersecurity semiconductor company deploying a novel, AI-driven approach to platform security against ransomware, supply chain, side-channel and other cyberattacks in the growing ecosystem of cloud data centers, 5G networks and other disaggregated compute networks. The company is developing new class of processors called the trusted control/compute unit (TCU) that redefines security from the ground-up: its hardware-anchored and AI-driven security technologies include Secure Vault root-of-trust/cryptography core and per-platform Secure AI pre-emptive threat detection engine. Axiado is a San Jose based company with a mission to protect the users of everyday technologies from digital threats. For more information, go to axiado.com or follow us on LinkedIn.

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Data Theorem Introduces Industry’s First CNAPP Workflow Optimizations for Attack Path Analysis and Protection of APIs and Software Supply Chains

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Previously, organizations had to rely on cloud security posture management (CSPM) and agent-based cloud workload protection platforms (CWPP) that lack the ability to accurately detect attack surfaces such as first- and third-party APIs that lead to the critical path hackers utilize to successfully exploit vulnerabilities and extract sensitive data. Data Theorem’s new release of Cloud Secure now delivers Cloud Hacker Toolkits powered by a new set of visualization features and ML enhancements for exploit prioritization, helping organizations focus on the most critical vulnerabilities that hackers can take advantage of for a cyberattack to extract data from cloud-native apps. In addition, Cloud Secure now offers ML-powered optimized Cloud Assets inventory with new visualizations for organizations to better understand the relationships between applications (mobile and web), APIs (first and third party), and the myriad of cloud resources. As a result, organizations for the first time can have an accurate inventory of their cloud-native and cloud-hosted applications, and visualize the growing attack surfaces including APIs they develop themselves and APIs that come from leveraging open-source software, third-party software development kits (SDKs), and public cloud services within their software supply chains. As we have seen, machine learning, and particularly generative language learning model (LLM), offers a new set of innovations and creativity for both security practitioners and attackers, said Doug Dooley, Data Theorem COO. Data Theorem is pleased to offer the industry’s first CNAPP solution which leverages some of the more useful elements of machine learning combined with run-time analysis, observability, and active protection. Cloud Secure continues to lead the industry as the most application-centric CNAPP offering helping organizations uncover new attack vectors in cloud-native applications and APIs that ultimately prevent large-scale data breaches. ML-powered Hacker Tool Kits and Optimized Cloud Assets, in addition to Cloud Secure’s other advancements in this new release, uniquely protect organizations’ cloud applications in multi-cloud environments. Cloud Secure now also offers a new UI design that improves the end-to-end CNAPP workflow for organizations with new dashboard, inventory, security testing, and cloud-native protection sections. For example, the Cloud-Native Protection visualization graph with Cloud Abuse highlights priority events, actors, and attack path analysis that uniquely helps organizations diagnose near real-time data breaches and attempts at exfiltration attacks. In addition, Cloud Secure’s Enhanced Compliance Summary section with status and on-demand reporting downloads automates the audit processes to help organizations prove compliance. Cloud Secure, powered by Data Theorem’s award-winning Analyzer Engine, helps organizations secure their cloud-native applications and address regulatory compliance for cloud monitoring and reporting. It is the industry’s first solution delivering full-stack attack path analysis for cloud-native applications that starts at the client layer (mobile and web), protects the network layer (APIs), and extends down through the underlying infrastructure (cloud services). Its combination of attack path analysis and run-time active protections enables both offensive and defensive security capabilities to best prevent data breaches of cloud-native applications, embedded APIs, and serverless cloud functions. 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 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.

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