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Software Security

CertiK Reaches for the Skies With the Release of Its New Security Services

CertiK
CertiK, the leading global Web3 and blockchain security firm, today announced the launch of several web3 Skynet security features to bolster end-to-end security for the web3 world. New features include:

  • Skynet Trust Score - a new scoring mechanism aimed at simplifying the definition of crypto project risk, increasing transparency into scoring mechanisms and demonstrating market health.
  • Skynet Cohort Analysis Panel - a way for projects to see how they rank against other similar projects in order to help users contextualize the risk of a project by displaying its performance against comparable projects.
  • Badges and honors for project achievements to strengthen credentials in their respective fields

The Skynet service, launched in June 2021, uses a comprehensive set of signals, curated from code scanning analysis, on chain security analytics, and machine learning to provide 24/7 monitoring of threats for crypto projects. To date, Skynet has helped to protect and monitor over 4 billion transactions.

As part of its strategy, CertiK set out on a mission to address both business and consumer value services through its security leaderboard found on its website. Delivering on this promise, CertiK’s release of new Skynet features provides further simplicity and transparency to consumers around project risk, while also giving credit to projects where needed through badges and honors.

“We’re very excited to launch these new Skynet features. “Through feedback from customers and the community, we’ve recognized the need to innovate around security risk in a simpler way that caters to both business and consumer needs. This is just the beginning of our journey as we continue to innovate in response to community needs and deliver on our promise of securing the web3 world.”

Kevin Liu, Chief Product Officer at CertiK

As part of its portfolio expansion, CertiK also recently released on its Twitter an autonomous security alert channel, which provides real-time alerts to the community on hacks, flash loan attacks, rugpulls and suspicious activity. To date, CertiK has flagged over $1.45 Billion in security incidents since the release of the service in February this year.

The growing demand for Web3 security has driven further development and operation of more innovative and data-driven security products for the blockchain industry. CertiK is meeting these demands through innovative products like Security Leaderboard, Code Auditing, KYC and now this next series of Skynet security features.

About CertiK
CertiK’s mission is to secure the Web3 world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into Enterprise, enabling mission-critical applications to be built with security and accuracy. Headquartered in New York City, CertiK was founded by computer science professors Ronghui Gu and Zhong Shao. CertiK is backed by industry leaders, including Insight Partners, Tiger Global, Sequoia, Coatue Management, Advent International, Goldman Sachs, Lightspeed, SoftBank Vision Fund 2, Hillhouse Capital, Binance, Coinbase Ventures, and more.

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Tigera Boosts Calico for Enhanced Security & Performance

Tigera | November 07, 2023

Tigera, a provider of an active security platform for containers and Kubernetes, has announced significant upgrades to its Calico Open Source and Calico Cloud. These improvements focus on enhancing the security, scalability, and performance of Kubernetes deployments for enterprises, providing a comprehensive solution for containerized environments. Given the increased utilization of Windows containers in production, Tigera has introduced the Calico Open Source Windows HostProcess Container feature. It streamlines node pool deployment, eliminating the need for manual node initialization and enhancing Kubernetes administrators' ability to manage Windows container-based applications efficiently. Calico Cloud now introduces a Security Score and Recommended Actions feature, addressing the paramount importance of security in Kubernetes clusters. This feature offers administrators an at-a-glance view of their organization's security posture by monitoring historical trends and risks by namespace. Moreover, it provides actionable recommendations tailored to each workload, fortifying the security of individual workloads and the entire cluster. It supports IPv6 for the eBPF dataplane, meeting the demands of enterprise-class applications by providing scalable, high-performance networking. This innovation ensures optimal performance for latency-sensitive applications and addresses IP shortages. Multi-cluster Kubernetes deployments over VxLAN are on the rise, requiring enhanced application layer observability and security. Calico introduces Kubernetes Cluster Mesh for VxLAN, offering a scalable solution for workload communication and security policy enforcement across Kubernetes clusters. This simplifies complex multi-cluster environments and ensures enterprise infrastructure can run efficiently, securely, and compliantly. These Calico enhancements redefine container networking and security, enabling enterprises to secure, scale, and optimize their Kubernetes clusters with unparalleled confidence. Tigera's Chief Product Officer, Amit Gupta, emphasized the importance of these updates, stating that Calico provides the industry's most complete solution for securing and observing Kubernetes environments. About Tigera Tigera provides the industry's sole active security platform, complemented by comprehensive observability capabilities tailored for containers and Kubernetes. The company's platform operates on a multifaceted front, effectively thwarting, identifying, troubleshooting, and autonomously mitigating potential security breach risks. It offers its platform through two distinct avenues: a fully managed SaaS solution, Calico Cloud, or a self-managed service, Calico Enterprise. Its open-source offering, Calico Open Source, is the most widely adopted solution for container networking and security, shaping the landscape of secure container environments.

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API Security

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

Business Wire | October 25, 2023

Data Theorem, Inc., a leading provider of modern application security, today introduced an industry-first attack path analysis of APIs and software supply chain exploits to its Cloud-Native Application Protection Platform (CNAPP) called Cloud Secure. 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. As a result of today’s launch, organizations can now leverage an advanced ML-based CNAPP solution to best secure their cloud-native apps and discover weaknesses which could lead to data breaches. 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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SentinelOne Launches RemoteOps Forensics for Faster Incident Response

SentinelOne | September 18, 2023

SentinelOne, a global leader in autonomous cybersecurity, is addressing the pressing need for rapid and effective responses to the escalating wave of cyber breaches. Today, the company announced the launch of Singularity RemoteOps Forensics, a pioneering digital forensics product designed to streamline and accelerate incident response readiness. This innovative solution promises to empower organizations of all sizes, ushering in a new era of efficient and scalable investigation and response capabilities in the face of evolving cybersecurity challenges. Integrated seamlessly with the SentinelOne Singularity Platform and as an add-on to Sentinel One's Endpoint and Cloud Workload Security solutions, RemoteOps Forensics offers a rapid, adaptable digital forensics and incident response solution. Security teams can leverage this tool to enhance efficiency by optimizing resources and accelerating Mean Time to Resolution. With the capability for targeted investigations on various assets, including endpoints and server workloads, it enables conditional trigger-based evidence collection. This automation efficiently gathers evidence, such as process data, ports, service listings, MFT, Amcache, JumpLists, and memory dumps, orchestrating them in under a minute. Consolidating evidence into the Singularity Security DataLake allows for the correlation of SentinelOne and partner data with forensics data in a unified search, facilitating a comprehensive view of attacks, rapid root cause identification, and risk mitigation. Furthermore, it provides the ability to analyze collected evidence alongside Endpoint Detection and Response (EDR) data within a single console, empowering proactive defense against future threats. The integration and analysis of this combined data unveil concealed indicators of compromise, detect advanced attack patterns, and offer insights into threat actors' tactics, techniques, and procedures. RemoteOps Forensics is a cost-effective and resource-efficient solution that seamlessly integrates with the SentinelOne agent. This integration alleviates the necessity of deploying and provisioning multiple tools throughout the investigative process, resulting in significant time and resource savings for organizations. In addition, this innovative solution prioritizes the maintenance of forensic integrity by minimizing changes made to the disk, and it leverages SentinelOne's anti-tampering and metadata collection capabilities to safeguard data integrity. In doing so, it streamlines investigations and upholds the highest standards of forensic rigor, reinforcing organizations' cybersecurity defenses with a comprehensive and efficient approach. Jane Wong, Senior Vice President of Products and Strategy at SentinelOne, said, As timelines for reporting and responding to breaches shrink, it is imperative that the security teams have advanced forensics capabilities that can make investigations faster and more efficient, and with Singularity RemoteOps Forensics, the team is delivering them. [Source – Business Wire] SentinelOne's new forensic capabilities help develop incident response by enabling security teams to conduct thorough investigations more quickly, Jane also mentioned eliminating the requirement for specialized expertise or additional tools. About SentinelOne SentinelOne is a leading provider of autonomous cybersecurity solutions. With its identified Singularity Platform, the company excels at detecting, preventing, and responding swiftly to cyber threats. SentinelOne enables businesses to protect their endpoints, cloud workloads, containers, and identities, as well as their mobile and network-connected devices, with unparalleled speed, accuracy, and ease of use. With a formidable clientele comprising over 11,000 customers, SentinelOne has proven itself as the trusted guardian of a secure digital future.

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API Security

Wallarm Announces Policy Integration with MuleSoft AnyPoint Platform

Wallarm | October 13, 2023

Wallarm has announced the availability of Application and API Security policies seamless integration with the MuleSoft AnyPoint Platform, providing essential protection for apps and APIs in various deployment scenarios. This integration of Wallarm and MuleSoft presents a compelling choice for organizations dedicated to comprehensively safeguarding and managing their API security management, ensuring robust protection for their digital assets. In the digital age, enterprises heavily depend on APIs to facilitate application connections and drive their digital transformation. Wallarm's latest offering seamlessly integrates with the MuleSoft API management and integration platform, bolstering cloud security and compliance to meet the evolving needs of modern businesses. Effective API management is paramount for organizations, and the market offers numerous commercial solutions, each with its unique features. Whether opting for well-known platforms such as MuleSoft, Kong, or Apigee, or exploring external tools like Akamai Edge and Azion Edge, the decision on how to deploy and manage crucial APIs depends on factors such as scalability, performance, and existing infrastructure. Regardless of the chosen approach, the demand for robust API security that effortlessly aligns with these varied deployment methods remains a top priority. CEO and Co-founder of Wallarm, Ivan Novikov, said, Wallarm is keen to unveil a cutting-edge cloud-based security policy that is agile and fully integrated with MuleSoft, a leading integration and API management platform in the market. [Source – Business Wire] About Wallarm Wallarm is a leading provider of robust protection for APIs, microservices, web applications, and serverless workloads in cloud-native environments. Trusted by numerous Security and DevOps teams, Wallarm excels in comprehensive web app and API endpoint discovery, shielding against emerging threats across their API portfolio, and automating incident response for enhanced risk management. The platform is designed to support modern tech stacks, offering a myriad of deployment options in both cloud and Kubernetes-based environments, including a full cloud solution. Based in San Francisco, California, Wallarm is backed by prominent investors like Y Combinator, Toba Capital, Partech, and others.

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Cloud Security

Tigera Boosts Calico for Enhanced Security & Performance

Tigera | November 07, 2023

Tigera, a provider of an active security platform for containers and Kubernetes, has announced significant upgrades to its Calico Open Source and Calico Cloud. These improvements focus on enhancing the security, scalability, and performance of Kubernetes deployments for enterprises, providing a comprehensive solution for containerized environments. Given the increased utilization of Windows containers in production, Tigera has introduced the Calico Open Source Windows HostProcess Container feature. It streamlines node pool deployment, eliminating the need for manual node initialization and enhancing Kubernetes administrators' ability to manage Windows container-based applications efficiently. Calico Cloud now introduces a Security Score and Recommended Actions feature, addressing the paramount importance of security in Kubernetes clusters. This feature offers administrators an at-a-glance view of their organization's security posture by monitoring historical trends and risks by namespace. Moreover, it provides actionable recommendations tailored to each workload, fortifying the security of individual workloads and the entire cluster. It supports IPv6 for the eBPF dataplane, meeting the demands of enterprise-class applications by providing scalable, high-performance networking. This innovation ensures optimal performance for latency-sensitive applications and addresses IP shortages. Multi-cluster Kubernetes deployments over VxLAN are on the rise, requiring enhanced application layer observability and security. Calico introduces Kubernetes Cluster Mesh for VxLAN, offering a scalable solution for workload communication and security policy enforcement across Kubernetes clusters. This simplifies complex multi-cluster environments and ensures enterprise infrastructure can run efficiently, securely, and compliantly. These Calico enhancements redefine container networking and security, enabling enterprises to secure, scale, and optimize their Kubernetes clusters with unparalleled confidence. Tigera's Chief Product Officer, Amit Gupta, emphasized the importance of these updates, stating that Calico provides the industry's most complete solution for securing and observing Kubernetes environments. About Tigera Tigera provides the industry's sole active security platform, complemented by comprehensive observability capabilities tailored for containers and Kubernetes. The company's platform operates on a multifaceted front, effectively thwarting, identifying, troubleshooting, and autonomously mitigating potential security breach risks. It offers its platform through two distinct avenues: a fully managed SaaS solution, Calico Cloud, or a self-managed service, Calico Enterprise. Its open-source offering, Calico Open Source, is the most widely adopted solution for container networking and security, shaping the landscape of secure container environments.

Read More

API Security

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

Business Wire | October 25, 2023

Data Theorem, Inc., a leading provider of modern application security, today introduced an industry-first attack path analysis of APIs and software supply chain exploits to its Cloud-Native Application Protection Platform (CNAPP) called Cloud Secure. 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. As a result of today’s launch, organizations can now leverage an advanced ML-based CNAPP solution to best secure their cloud-native apps and discover weaknesses which could lead to data breaches. 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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Platform Security

SentinelOne Launches RemoteOps Forensics for Faster Incident Response

SentinelOne | September 18, 2023

SentinelOne, a global leader in autonomous cybersecurity, is addressing the pressing need for rapid and effective responses to the escalating wave of cyber breaches. Today, the company announced the launch of Singularity RemoteOps Forensics, a pioneering digital forensics product designed to streamline and accelerate incident response readiness. This innovative solution promises to empower organizations of all sizes, ushering in a new era of efficient and scalable investigation and response capabilities in the face of evolving cybersecurity challenges. Integrated seamlessly with the SentinelOne Singularity Platform and as an add-on to Sentinel One's Endpoint and Cloud Workload Security solutions, RemoteOps Forensics offers a rapid, adaptable digital forensics and incident response solution. Security teams can leverage this tool to enhance efficiency by optimizing resources and accelerating Mean Time to Resolution. With the capability for targeted investigations on various assets, including endpoints and server workloads, it enables conditional trigger-based evidence collection. This automation efficiently gathers evidence, such as process data, ports, service listings, MFT, Amcache, JumpLists, and memory dumps, orchestrating them in under a minute. Consolidating evidence into the Singularity Security DataLake allows for the correlation of SentinelOne and partner data with forensics data in a unified search, facilitating a comprehensive view of attacks, rapid root cause identification, and risk mitigation. Furthermore, it provides the ability to analyze collected evidence alongside Endpoint Detection and Response (EDR) data within a single console, empowering proactive defense against future threats. The integration and analysis of this combined data unveil concealed indicators of compromise, detect advanced attack patterns, and offer insights into threat actors' tactics, techniques, and procedures. RemoteOps Forensics is a cost-effective and resource-efficient solution that seamlessly integrates with the SentinelOne agent. This integration alleviates the necessity of deploying and provisioning multiple tools throughout the investigative process, resulting in significant time and resource savings for organizations. In addition, this innovative solution prioritizes the maintenance of forensic integrity by minimizing changes made to the disk, and it leverages SentinelOne's anti-tampering and metadata collection capabilities to safeguard data integrity. In doing so, it streamlines investigations and upholds the highest standards of forensic rigor, reinforcing organizations' cybersecurity defenses with a comprehensive and efficient approach. Jane Wong, Senior Vice President of Products and Strategy at SentinelOne, said, As timelines for reporting and responding to breaches shrink, it is imperative that the security teams have advanced forensics capabilities that can make investigations faster and more efficient, and with Singularity RemoteOps Forensics, the team is delivering them. [Source – Business Wire] SentinelOne's new forensic capabilities help develop incident response by enabling security teams to conduct thorough investigations more quickly, Jane also mentioned eliminating the requirement for specialized expertise or additional tools. About SentinelOne SentinelOne is a leading provider of autonomous cybersecurity solutions. With its identified Singularity Platform, the company excels at detecting, preventing, and responding swiftly to cyber threats. SentinelOne enables businesses to protect their endpoints, cloud workloads, containers, and identities, as well as their mobile and network-connected devices, with unparalleled speed, accuracy, and ease of use. With a formidable clientele comprising over 11,000 customers, SentinelOne has proven itself as the trusted guardian of a secure digital future.

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API Security

Wallarm Announces Policy Integration with MuleSoft AnyPoint Platform

Wallarm | October 13, 2023

Wallarm has announced the availability of Application and API Security policies seamless integration with the MuleSoft AnyPoint Platform, providing essential protection for apps and APIs in various deployment scenarios. This integration of Wallarm and MuleSoft presents a compelling choice for organizations dedicated to comprehensively safeguarding and managing their API security management, ensuring robust protection for their digital assets. In the digital age, enterprises heavily depend on APIs to facilitate application connections and drive their digital transformation. Wallarm's latest offering seamlessly integrates with the MuleSoft API management and integration platform, bolstering cloud security and compliance to meet the evolving needs of modern businesses. Effective API management is paramount for organizations, and the market offers numerous commercial solutions, each with its unique features. Whether opting for well-known platforms such as MuleSoft, Kong, or Apigee, or exploring external tools like Akamai Edge and Azion Edge, the decision on how to deploy and manage crucial APIs depends on factors such as scalability, performance, and existing infrastructure. Regardless of the chosen approach, the demand for robust API security that effortlessly aligns with these varied deployment methods remains a top priority. CEO and Co-founder of Wallarm, Ivan Novikov, said, Wallarm is keen to unveil a cutting-edge cloud-based security policy that is agile and fully integrated with MuleSoft, a leading integration and API management platform in the market. [Source – Business Wire] About Wallarm Wallarm is a leading provider of robust protection for APIs, microservices, web applications, and serverless workloads in cloud-native environments. Trusted by numerous Security and DevOps teams, Wallarm excels in comprehensive web app and API endpoint discovery, shielding against emerging threats across their API portfolio, and automating incident response for enhanced risk management. The platform is designed to support modern tech stacks, offering a myriad of deployment options in both cloud and Kubernetes-based environments, including a full cloud solution. Based in San Francisco, California, Wallarm is backed by prominent investors like Y Combinator, Toba Capital, Partech, and others.

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