Compare ObjectSecurity BinLens vs. Suavei

Traditional methods of cybersecurity fall short when it comes to safeguarding modern IT/OT/ICS software and devices. The generation of Software Bill of Materials (SBOM) is primarily focused on identifying only known vulnerabilities in existing software. Moreover, source code analysis alongside static application security testing (SAST) often yields excessive false-positive results, which can hinder timely remediation efforts. Additionally, network scans can be ineffective for devices that are not directly connected to the network. To achieve deeper security insights, consider BinLens™—an all-encompassing solution for advanced binary analysis. Formerly known as the ObjectSecurity OT.AI Platform, BinLens™ takes an integrated approach that merges various techniques to identify potential zero-day vulnerabilities with exceptional accuracy. Its capabilities are enhanced by automated symbolic execution, which is particularly adept at revealing memory-safety violations and other undefined behaviors present in binary programs, leading to a significantly reduced false-positive rate compared to other tools available in the market. Furthermore, BinLens™ simplifies and automates critical manual reverse engineering processes such as static analysis, disassembly, and decompilation, making it an invaluable asset in the realm of cybersecurity.

Suavei Internet Security offers advanced Threat Management specifically designed for IoT, ensuring that we identify your vulnerabilities before they can be exploited by hackers. In today's landscape, computer networks are riddled with vulnerabilities, particularly in remote areas, despite significant investments being made in tools and processes that often prove to be inefficient and resource-draining. With the surge in the number of network-connected devices, each poses a risk that can compromise even the strictest security measures in place. Alarmingly, most organizations lack visibility into approximately 80% of the devices connected to their networks, which further complicates their security posture. The current cybersecurity solutions available are inadequate in addressing the growing threats, primarily due to their reliance on outdated and static methodologies. Suavei emerged from the recognition of three critical shortcomings in existing vulnerability scanning products: they often fail to accurately and reliably identify connected devices, they struggle in environments with slow network speeds, and they lack the adaptability needed for modern security challenges. By tackling these issues head-on, Suavei aims to provide a more effective and comprehensive security solution for IoT environments.