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Identify and manage vulnerabilities across your enterprise ecosystem.
The Sling platform performs extensive asset discovery and end-to-end mapping, including brands, networks, partners, and related organizations. Cybercrime sources and Attack Surface Mapping modules are used to scan the discovered assets for vulnerabilities. Based on these results, we compute an attack probability by using an in-house scoring algorithm.
Sling’s extensive cyber intelligence networks provide a deep understanding of security vulnerabilities and threats, from a localized and global point of view. We combine this knowledge with our innovative technology and ongoing monitoring to keep your business safe.
When it comes to cyber security, nothing is more important than knowing how your risks break down in terms of your business assets, customers, partners, and network infrastructure. Sling’s end-to-end mapping provides a clear view of your current cybersecurity posture.
Cyber threats are constantly evolving, which means that effective protection needs to be dynamic as well. At Sling we provide proactive monitoring that proactively detects changes in risk profiles or in the occurrence or severity of cyber threats.
Sling brings to the forefront a unique focus on Threat Intelligence capabilities as a main parameter for risk assessment. Our in-house technologies combine leading Cybercrime Threat Intelligence (CTI) and Continuous External Threat Monitoring (CETM) to actively monitor our clients network and cyber intelligence risk at any given moment. Our platform performs ongoing scans and analyses of clients’ online presence, relaying on multiple sources and unique access to Darknet platforms. Using advanced crawlers, Sling is looking for initial access brokers, ransomware possibilities and critical vulnerabilities on the clients’ without performing active scans.
Our experts from both Threat Intelligence and Insurance created Sling’s scoring algorithm aimed at assessing the probability of a cyber attack. The calculation process considers clients’ risks and exposure level by leveraging uncommon, sophisticated scanning methods. This efficient module considers a company’s current and past exposure level, resulting in a single score representing its risk.
To determine the Sling Score, Our Intelligence based Deep Learning Algorithm considers multiple parameters collected and analyzed on a timely manner. First, each of the results (risks) collected by Sling’s advanced sensors receives a severity indicating the criticality level of the result. The criticality level varies from 1 – indicating a low to non- existent risk; to 5 – indicating a critical risk to the organization.
Further, the results with their matching severity are aggregated to one process, aimed at assessing the general cyber risk and exposure level of a company. At this stage, external factors are considered as well, including the company’s sector, revenue and employees’ number.
The final score is on a scale of 0-100; the lower the score a company receives, the higher its chances to experience a cyber incident. Sling divides scores to three categories: 0-50 = very high risk & immediate action required; 51-75 = medium – high risk; 76-100 = medium to low risk.
Assess the cyber risk from an attacker point of view by maintaining access and monitoring hundreds of unique sources that we have identified as significant and relevant all through the Darknet underground communities.
Allows customers to keep track of the entire portfolio of the organization and manage the exposure from a high-level perspective.
