DATA SECURITY

A Cybersecurity Startup Vulcan Cyber Raises $21 Million for Expansion of Vulnerability Remediation SaaS Platform

Vulcan Cyber | March 18, 2021

An Israel-based and cybersecurity start-up company, Vulcan Cyber, announced that it had raised a $21 million Series B funding round led by Dawn Capital. The company is into fixing security vulnerabilities has now participated with Wipro Ventures and existing Vulcan Cyber investors YL Ventures and Ten Eleven Ventures. The raised funds will support the novel vulnerability remediation solutions for cloud and application security teams. It will also deliver Vulcan Free, the industry's first free risk-based vulnerability management (RBVM) platform created for vulnerability and cyber risk prioritization.

With this new development, Vulcan Cyber’s overall funding up until presently is $35 million. The company experienced a 500% growth in annual recurring revenue. The new funding will also satisfy considerable demand for a SaaS solution that goes ahead with vulnerability scanning and management. This will help IT, and security teams accomplish vulnerability scanning and management in a fixed way.

The company’s focus has always been to warn its customers about potential vulnerabilities and prioritizing them based on the severity of the risk and the threat to a company’s business assets. After all, security teams are often inundated by alerts as not every scanner represents a high-priority risk for a business. Hence, the promise of Vulcan Cyber’s platform to build a vulnerable one will help teams to figure out where to focus their resources best.

In the end, with this new free offering, Vulcan’s freemium portfolio now includes Vulcan Free. This provides core prioritization and vulnerability management features to the company and its existing free vulnerability intelligence database.

Spotlight

With the accumulation of big data, dramatic improvements in computing power, and continuous innovation in Machine Learning (ML) methods, Artificial Intelligence (AI) technologies such as image recognition, voice recognition, and natural language processing have become ubiquitous. Meanwhile, AI poses a significant impact on computer security: on the one hand, AI can be used to build defensive systems such as malware and network attack detection; on the other hand, AI might be exploited to launch more effective attacks.


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PLATFORM SECURITY

Network Perception Joins Operational Technology Cybersecurity Coalition to Aid with Strengthening National Security

Network Perception | June 15, 2022

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SECURITY AUDIT AND COMPLIANCE

NetWitness Launches Comprehensive XDR Offerings for Next Generation Security

NetWitness | June 08, 2022

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PLATFORM SECURITY

Talon Cyber Security Announces $100M in Series A Funding to Redefine Security for the Future of Work

Talon Cyber Security | August 04, 2022

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DATA SECURITY

Netskope Revolutionizes Data Protection with Patented Lightweight, Cloud-Powered Endpoint Data Loss Prevention

Netskope | May 24, 2022

Netskope, the leader in Security Service Edge (SSE) and zero trust,announced a key expansion of data protection capabilities to endpoint devices and private apps. The introduction of a patented endpoint data loss prevention (DLP) solution will enable Netskope Intelligent SSE customers to protect data everywhere it moves across the hybrid enterprise. Zero trust principles are critical to SSE, which describes the security stack needed to enable a modern Secure Access Service Edge (SASE) architecture. Data protection is of utmost importance throughout a SASE architecture—specifically, the need for security to move with data wherever it is accessed, and apply zero trust to determine the right level of access. Additionally, legacy and endpoint DLP offerings have failed enterprises by being siloed, complicated, and intrusive, hindering user productivity. Netskope has been consistently recognized by top industry analysts for its advanced data protection capabilities. 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While some competitors may offer unified policy and management or provide data protection for certain vectors, Netskope is the only vendor that can provide truly converged data protection across the full IT environment. We are very excited to deliver Endpoint DLP to customers as another Netskope game-changer." John Martin, Chief Product Officer, Netskope "With Netskope's new eDLP, we can now offer single-pass data protection —across all vectors, from the cloud to the endpoint —with unified policies, within a single management console," said Mick Coady, Global Vice President CyberSecurity Solutions, World Wide Technology. "As a Platinum Partner in Netskope's Evolve partner program, we're seeing the huge growth opportunity that Netskope's Intelligent SSE approach represents. This new addition will accelerate that growth." A work-from-anywhere, or "hybrid," environment makes it increasingly difficult to maintain security models based on implicit trust in any entity that wants to connect. 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"Netskope looks to address complexity with integration, providing a unified cloud delivered solution. Compared to old school network and endpoint-based DLP solutions, having DLP in this integrated solution makes it dramatically easier to protect data wherever it may be and in a manner that is frictionless for end users. It is a win-win." About Netskope Netskope, a global cybersecurity leader, is redefining cloud, data, and network security to help organizations apply zero trust principles to protect data. The Netskope Intelligent Security Service Edge (SSE) platform is fast, easy to use, and secures people, devices, and data anywhere they go. Netskope helps customers reduce risk, accelerate performance, and get unrivaled visibility into any cloud, web, and private application activity. Thousands of customers, including more than 25 of the Fortune 100, trust Netskope to address evolving threats, new risks, technology shifts, organizational and network changes, and new regulatory requirements.

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Spotlight

With the accumulation of big data, dramatic improvements in computing power, and continuous innovation in Machine Learning (ML) methods, Artificial Intelligence (AI) technologies such as image recognition, voice recognition, and natural language processing have become ubiquitous. Meanwhile, AI poses a significant impact on computer security: on the one hand, AI can be used to build defensive systems such as malware and network attack detection; on the other hand, AI might be exploited to launch more effective attacks.

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