Criminal IP ASM
Criminal IP's Attack Surface Management (ASM) is an intelligence-driven platform designed to continuously identify, catalog, and oversee all internet-connected assets linked to an organization, including overlooked and shadow resources, enabling teams to understand their actual external exposure from the perspective of potential attackers. This solution integrates automated asset detection with open-source intelligence (OSINT) methods, artificial intelligence enhancements, and sophisticated threat intelligence to reveal exposed hosts, domains, cloud services, IoT devices, and other internet-facing entry points, while also collecting evidence such as screenshots and metadata, and linking findings to known vulnerabilities and attacker techniques. By evaluating exposures through the lens of business relevance and risk, ASM emphasizes vulnerable elements and misconfigurations, providing instantaneous alerts and interactive dashboards that facilitate quicker investigations and remediation efforts. Furthermore, this comprehensive tool empowers organizations to proactively manage their security posture, ensuring that they remain vigilant against emerging threats.
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SOCRadar Extended Threat Intelligence
SOCRadar Extended Threat Intelligence is a holistic platform designed from the ground up to proactively detect and assess cyber threats, providing actionable insights with contextual relevance. Organizations increasingly require enhanced visibility into their publicly accessible assets and the vulnerabilities associated with them. Relying solely on External Attack Surface Management (EASM) solutions is inadequate for mitigating cyber risks; instead, these technologies should form part of a comprehensive enterprise vulnerability management framework. Companies are actively pursuing protection for their digital assets in every potential exposure area. The conventional focus on social media and the dark web no longer suffices, as threat actors continuously expand their methods of attack. Therefore, effective monitoring across diverse environments, including cloud storage and the dark web, is essential for empowering security teams. Additionally, for a thorough approach to Digital Risk Protection, it is crucial to incorporate services such as site takedown and automated remediation. This multifaceted strategy ensures that organizations remain resilient against the evolving landscape of cyber threats.
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NetSPI Attack Surface Management
Attack Surface Management identifies both known and unknown public-facing assets that may be vulnerable, as well as alterations to your attack surface that could pose risks. This capability is achieved through a blend of NetSPI’s advanced ASM technology platform, insights from our global penetration testing specialists, and over two decades of experience in penetration testing. You can rest assured knowing that the ASM platform operates continuously in the background, ensuring you have the most thorough and current visibility into your external attack surface. By implementing continuous testing, you can adopt a proactive stance regarding your security measures. The ASM platform is powered by sophisticated automated scan orchestration technology, which has been effectively utilized in our penetration testing projects for many years. Additionally, we employ a mix of both automated and manual techniques to consistently uncover assets, leveraging open source intelligence (OSINT) to tap into publicly accessible data sources. This multifaceted approach enhances our ability to protect your organization against evolving cyber threats.
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RiskProfiler
RiskProfiler can help you identify shadow risks and increase your brand's reputation and cyber risk rating by using the power of AI. RiskProfiler tracks your digital presence on the dark, surface and deep webs. You can eliminate shadow risks before hackers do. The collected reconnaissance information is used for the discovery and fingerprinting of an organization's digital footprint. Assets are then grouped based on fingerprint information. Risk Profiler's proprietary attack simulator runs passive scans and identifies security problems per asset without any complicated deployments, configurations or disruption of business operations. AI Models are used for filtering out false positives and providing actionable insights based upon threats across the surface, dark, and deep web.
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