Anvilogic Verified Customer Reviews (2026)

Interfacing’s IMS is an AI-enabled platform that combines business process modeling, quality management, controlled documentation, and governance/risk capabilities in a single hub. Organizations rely on IMS to document and automate workflows, maintain versioned records, manage risk programs, and keep compliance activities aligned with regulatory requirements through full lifecycle traceability. Developed for industries where accountability and oversight are essential, including aerospace, pharma/biotech, finance, and government, IMS delivers operational insight, workflow automation, and intelligent recommendations that help reduce risk and improve quality outcomes. The platform holds ISO 27001 certification and includes 21 CFR Part 11 validation, supporting secure use in high-compliance environments. Additional capabilities include low-code app creation, AI-based process mining, audit management, CAPA and training modules, and performance dashboards. AI improves governance accuracy, strengthens compliance posture, and supports ongoing improvement.

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.

Rilevera operates as an AI Detection Engineer, consistently evaluating, improving, and managing detection systems across SIEM, EDR, and various data platforms, which enables security teams to focus on addressing actual threats instead of chasing ineffective rules. It rigorously tests detection logic, scrutinizes telemetry dependencies, and maintains schema integrity across multiple platforms while quickly identifying failures in rules or loss of critical data. The AI-enhanced detection optimization utilizes performance metrics, trends in false positives, overlaps, and the quality of logic to recommend improvements and seamlessly reintegrate verified updates into operational systems. By performing Coverage and Gap Analysis, it aligns detections and telemetry with MITRE techniques and well-known threat actors, helping teams to identify vulnerabilities and prioritize the formulation of new rules. The implementation of structured workflows for design, validation, peer review, and managed deployment introduces both discipline and efficiency into the detection lifecycle. Moreover, Rilevera's continuous assessment of detection performance aims to improve signal quality, reduce alert fatigue, and ultimately enhance the overall effectiveness of security strategies. Through its cutting-edge methods, Rilevera significantly empowers security teams to operate more efficiently and effectively against emerging threats, thereby fostering a more proactive security posture. This innovative approach not only strengthens the defenses of organizations but also cultivates a culture of resilience and adaptability in the face of evolving cyber threats.