Best Software Bill of Materials (SBOM) Tools in South America

Advanced malware analysis platform that detects malicious files faster through automated static analysis. It can be used in any cloud and any environment. More than 360 file formats were processed and 3600 file types were identified from various platforms, applications and malware families. Real-time, deep inspection and analysis of files. This can be scaled to 150 million files per hour without dynamic execution. Connectors that are tightly coupled integrate industry-leading email, SIEM and SOAR platforms, as well as EDR, SIEM and SIEM. Unique Automated Static Analysis completely dissects the internal contents of files in just 5 ms, without execution, which eliminates the need for dynamic analysis in most instances.

Rezilion's Dynamic SOMOM automatically detects, prioritizes and addresses software vulnerabilities. Rezilion's Dynamic SBOM allows you to focus on what is important, eliminate risk quickly, and allow you to build. In a world that is short on time, why compromise security for speed when you could have both? Rezilion is a software security platform that automatically protects software you deliver to customers. This allows teams to focus on building, instead of worrying about security. Rezilion is different than other security tools that require more remediation. Rezilion reduces vulnerability backlogs. It works across your stack and helps you identify vulnerable software in your environment. This allows you to focus on the important things and take action. You can instantly create a list of all the software components in your environment. Runtime analysis will help you determine which software vulnerabilities are exploitable and which are not.

Supply chain security and developer productivity are both based on simplified dependency lifecycle management. Endor Labs aids security and development teams by safely maximising software reuse. With a better selection process, you can reduce the number of dependencies and eliminate unused dependencies. To protect against software supply chain attacks, identify the most critical vulnerabilities and use dozens leading indicators of risk. You can get out of dependency hell quicker by identifying and fixing bugs and security issues in the dependency chain. Dev and security teams will see an increase in productivity. Endor Labs allows organizations to focus on delivering value-adding code by maximising software reuse and minimizing false positives. You can see every repos in your dependency network. Who uses what and who is dependent on whom?

Developers can automatically identify, prioritize, and correct application risks during development and testing. Deepfactor detects security risks at runtime in filesystem, network and memory behavior. This includes exposing sensitive information, insecure program practices, and prohibitive network communications. Deepfactor generates software bills for materials in CycloneDX format. This is to comply with executive orders as well as security requirements for enterprise supply chains. Deepfactor maps vulnerabilities to compliance standard (SOC 2 Type 2, NIST 800-53, PCI DSS) to reduce compliance risk. Deepfactor provides developers with prioritized insights that allow them to identify insecure code, streamline remediation and analyze drift between releases to understand the potential impact on compliance goals.

Ketryx allows life sciences teams to use DevTools, automation, and their preferred DevTools to generate evidence, provide real-time traceability and prevent process deviation. Automated documentation allows teams to focus more on the big risks. Ketryx embeds QMS into Jira, and other development tools to make process deviation impossible. Automated documentation, traceability and streamlined processes help you release safer software faster. Ketryx is compatible with CI/CD pipelines, allowing teams to ensure that their releases are compliant before they go live. Save time by generating documentation and traceability automatically for each release. Use filters and search across the lifecycle to track changes quickly, find gaps, and focus efforts.

Detect and remediate unknown and known vulnerabilities at each step of the device supply chain and software supply. We don't just map binaries to known vulnerabilities. We also look at the code execution to detect defects. Binarly can identify entire classes, not just known issues. This allows Binarly's software to be more accurate and faster, with a near-zero number of false positives. Not just matching signatures or hashes, but identifying previously unknown vulnerabilities. Extending insight past CVE to show which vulnerabilities exist on a binary level. Machine learning can reduce false positives to near zero.

OWASP CycloneDX (SBOM standard) is a lightweight Software Bill of Materials. It is intended for use in supply chain component analysis and application security contexts. The CycloneDX Core group manages the specification's strategic direction and maintenance. It is a OWASP community-based group. It is crucial to have a complete inventory of all components, first-party and second-party, in order to identify risk. Ideal BOMs should contain all transitive and direct components as well as the dependencies between them. CycloneDX adoption allows organizations to quickly meet these minimum requirements, and then mature into more complex use cases. CycloneDX can meet all requirements of the OWASP Software Component Verification Standard, (SCVS).

Software is consuming the world. If left unchecked, hostile and sophisticated actors will eventually eat the software sector. We build open-source software that developers love. This makes the world safer for everyone. Software supply chain vulnerabilities, from the developers' workflow to the running workloads, are not new. Open source or proprietary, some of the biggest exploitations of software in history can be traced to the software supply chains.

The truth about open source risks. Alternative tools are more likely to produce false positives or negatives than the ones that scan apps "as declared". They trust developers to reveal the truth about dependencies embedded within software. Nexus scans apps using Advanced Binary Fingerprinting (ABF). The result is a precise reading of embedded dependencies and a Software Bill of Materials that reflects truth about third-party risks. ABF identification uses cryptographic hash to identify binaries, structural similarity and derived coordinates. It can identify renamed and modified components, regardless of whether they were declared, misnamed, added manually to the code base, or misnamed. The Octopus Scanner's recent success is a great example of why scanning a manifest is not enough to detect malicious components being injected in our software supply chains.