Astelia Reviews

Reflectiz is a web exposure management platform that helps organizations identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. It provides full visibility and control over first, third, and fourth-party components like scripts, trackers, and open-source libraries that traditional security tools often miss. What sets Reflectiz apart is its ability to operate remotely, without the need to embed code on customer websites. This ensures there’s no impact on site performance, no access to sensitive user data, and no additional attack surface. The platform continuously monitors all external components, providing real-time insights into the behaviors of third-party applications, trackers, and scripts that could introduce risks. By mapping your entire digital supply chain, Reflectiz uncovers hidden vulnerabilities that traditional security tools may overlook. Reflectiz offers a centralized dashboard that enables businesses to gain a comprehensive, real-time view of their web assets. It allows teams to define baselines for approved and unapproved behaviors, swiftly identifying deviations and potential threats. With Reflectiz, businesses can mitigate risks before they escalate, ensuring proactive security management. The platform is especially valuable for industries like eCommerce, finance, and healthcare, where managing third-party risks is a top priority. Reflectiz provides continuous monitoring and detailed insights into external components without requiring any modifications to website code, helping businesses ensure security, maintain compliance, and reduce attack surfaces. By offering deep visibility and control over external components, Reflectiz empowers organizations to safeguard their digital presence against evolving cyber threats, keeping security, privacy, and compliance top of mind.

Criminal IP's Attack Surface Management (ASM) is a cutting-edge platform driven by intelligence that seeks to constantly pinpoint, catalog, and supervise all internet-connected resources associated with an organization, including often ignored and shadow assets, thereby granting teams insight into their genuine external exposure as seen by potential attackers. This innovative solution combines automated asset identification with open-source intelligence (OSINT) techniques, enhancements via artificial intelligence, and advanced threat intelligence to uncover exposed hosts, domains, cloud services, IoT devices, and various other entry points on the internet, while also gathering evidence like screenshots and metadata, linking discoveries to known vulnerabilities and tactics used by attackers. By assessing exposures in terms of business significance and risk, ASM highlights vulnerable components and misconfigurations, delivering real-time alerts and interactive dashboards that streamline investigation and remediation processes. Moreover, this all-encompassing tool not only aids organizations in managing their security stance but also equips them to stay ahead of emerging threats by fostering a proactive security culture within their teams. Ultimately, the proactive management of attack surfaces can significantly enhance an organization's resilience against cyber risks.

SecPod Saner CVEM is a continuous vulnerability and exposure management platform that helps organizations identify, understand, prioritize, and remediate security risks from one prevention-focused workflow. The platform brings together vulnerability management, asset discovery, endpoint management, compliance management, patch management, posture anomaly detection, exposure analysis, and risk prioritization in a single console. Saner CVEM gives security teams a broader view of exposure by detecting not only CVEs, but also configuration drifts, posture anomalies, compliance gaps, shadow IT, unmanaged devices, and risky changes across hardware and software. Its AI-powered asset visibility helps organizations continuously discover managed and unmanaged assets, enrich inventories, and track changes across endpoints, servers, cloud services, and operating systems. Machine-learning anomaly detection monitors more than 100 device parameters to surface unusual processes, kernel changes, unauthorized scheduled tasks, and other deviations that traditional scanners may miss. The platform uses SSVC-aligned prioritization along with EPSS, CISA KEV, asset criticality, business context, MITRE ATT&CK mapping, and CWE mapping to help teams focus on risks that can cause real damage. Saner CVEM supports continuous SCAP and OVAL-based vulnerability scanning across multiple operating systems and more than 550 third-party applications. Its integrated remediation capabilities allow teams to move from detection to patch deployment without relying on disconnected tools or complex manual workflows. Organizations can use the platform to improve patch compliance, reduce known and unknown risks, strengthen audit readiness, and lower remediation backlogs.