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Baishan all-in-one cybersecurity situational awareness solution protects the digital assets of online publishing industry. Once pain points in cybersecurity transformation are removed, online publishing companies can manage their online assets more efficiently.
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Outdated protection systems leave companies vulnerable to the constant threat of hostile cyber behavior. Internal and external threats may include hostile registration, content tampering, database collision attacks, bot behaviors, and other types of threats. The exploitation of these threats enables bad actors to hack digital assets.
Lack of modern-day cybersecurity awareness and experience in organizations may delay the identification, analysis, and mitigation of newer threats. Disorganized APIs and outdated content libraries only worsen the problem.
Baishan’s AI-based pattern recognition algorithm detects hostile behaviors in real-time. This feature protects companies from threats such as user data library collisions, content crawling, suspicious user logins, bot registration, internal brute-force attacks, injection attacks, and XSS attacks.
Baishan’s pattern recognition and clustering analysis can identify crawler behaviors. Specifically, these features prevent high-frequency crawling over a few origination points and low-frequency crawling from many origination points.
Using operational monitoring and asset topology mapping, Baishan’s solution can stop hackers from laterally breaching the internal network, thus preventing damaging and illegal behavior.
Baishan’s monitoring visualization console shows various dimensions of the security data. Reporting and alerting functions of the platform enable rapid responses to security incidents.
Asset auditing helps companies reevaluate all of their services and assets. It helps to ensure asset security is maintained across multiple services, versions, ports, and access points. Programmable threat responses are enabled through automation.
Bypassing deployment architecture that does not affect current business services.
Hackers can steal IP content using techniques like hostile crawlers, internal network hijacking, insider breaches, and other types of attacks. Baishan’s Advanced Threat Detection (ATD) identifies crawlers and insider breaches using pattern recognition and UEBA technology. Besides, internal traffic and operations can be analyzed to determine unauthorized internal behavior in real-time. Furthermore, asset auditing helps to identify abnormal processes on mainframes, including operations and port status. Once found, Baishan’s network monitors block internal and external hacking behaviors.
Traditional security incident analysis is based on older, more siloed behavioral tracking and analysis. Baishan’s ATD technologies enable building customized, cross-technology incident recognition and response mechanisms. The publishing industry based on procedural analysis and programable response mechanism. This helps companies holistically manage security responses and accelerate their digital transformation.
Management of publishing companies’ network assets is often outsourced to many providers, which can cause issues when trying to implement integrated operational management. As a result, high operational overhead costs are incurred. Moreover, outdated physical equipment prohibits the implementation of integrated network defenses.
By integrating network assets, a comprehensive topology, auditing, ATD, and centralized security assets can be holistically managed and keep protections up to date. Baishan’s solution also enables monitoring unusual system behavior, preventing security breaches caused by operators’ miscommunication or lack of security awareness.
