July 26, 2016 7:20 AM ET

Software

Company Overview of Grammatech, Inc.

Company Overview

Grammatech, Inc. develops and markets software-development tools for startups, companies, educational institutions, and government agencies. It offers CodeSonar, a source-code analyzer for C/C++ and Java that finds buffer overruns, null-pointer dereferences, and other errors; and CodeSurfer, a code browser for C/C++, which understands pointers, indirect function calls, and whole-program effects. The company also provides products for ADA, such as Ada-ASSURED, a language-sensitive editor, browser, standards enforcement tool, printer, and code analyzer/transformer for Ada 83 and Ada 95; and Ada-Utilities, a language-sensitive toolset for project-wide printing and standards auditing of Ada code...

317 North Aurora Street

Ithaca, NY 14850

United States

Founded in 1988

Phone:

888-695-2668

Fax:

607-273-8752

Key Executives for Grammatech, Inc.

Co-Founder, Chairman and Chief Executive Officer
Co-Founder and President
Chief Financial Officer
Vice President of Technology
Chief Marketing Officer and Vice President of Business Development
Compensation as of Fiscal Year 2016.

Grammatech, Inc. Key Developments

US Government Selects GrammaTech for Five New Cybersecurity Projects

GrammaTech has been selected by the US Government to receive five research contracts that will advance techniques and technologies in static analysis and software protection. GrammaTech's research teams will continue their focus on solving the most challenging issues impacting embedded device software. This new set of research projects will augment the company's commercial software, CodeSonar, which finds bugs, security vulnerabilities, and complex programming defects in software. Critical Vulnerability Discovery Using Big Code: Sponsored by the Defense Advanced Research Projects Agency (DARPA): Most modern systems incorporate a significant amount of third-party software with lurking bugs that compromise the security of the entire software chain. GrammaTech will develop a vulnerability assessment tool to scan these binary executables and find critical vulnerabilities, using a combination of statistical and language-based techniques. Anticipating Malware Evolution: Sponsored by the Department of Homeland Security (DHS): Building on existing collections of malware and the results of earlier projects such as DARPA's CyberGenome and MUSE projects, this project will contribute to the battle against harmful malware. GrammaTech will create pattern-recognition and machine-learning algorithms that can identify common characteristics in malware and recognize evolving patterns in new malware, with the goal of spotting evolving threats before they become widespread. Injecting Vulnerabilities for Configurable Cyber Defense: Sponsored by the Defense Advanced Research Projects Agency (DARPA): GrammaTech will develop a tool for generating cybersecurity evaluation benchmarks. The tool will help users evaluate the effectiveness of their current cyber defenses to detect specific vulnerabilities in their software (for instance, by injecting the Heartbleed bug into their software, users could determine if the static analysis tool they are using would have caught the Heartbleed bug, were it part of their applications). Recovering the High-Level Architecture of Embedded Systems: Sponsored by the Office of the Secretary of Defense (OSD): to enable security researchers to rapidly identify potential cyber access points, weaknesses, and susceptibilities, GrammaTech will develop innovative tools and techniques for recovering/reconstructing the architecture of a software system, accurately modeling and displaying the architecture, and assessing its security. Inserting Code into Firmware Image: Sponsored by the U.S. Navy: Fixing the software that runs embedded devices is challenging, especially when no access to its original source code. GrammaTech will develop a tool that will automate the process of turning a high-level patch description into a modified firmware image, allowing users to modify embedded software as simply as if they had access to the original source.

DARPA Selects GrammaTech, Inc. for Software-Assurance-Tool Benchmarking

GrammaTech, Inc. has been notified of its selection by DARPA to develop tooling for measuring and assessing the effectiveness of Software Assurance tools. The project, Grafting Vulnerabilities for Configurable Cyber Defense, will address the need in the current security-tool landscape – the inability for users to know the effectiveness of vulnerability-detection-and-mitigation tools. The rise and continued acceleration of cyber-attacks, spanning from consumer devices to city infrastructure to government databases, has spurred efforts to eliminate security vulnerabilities by performing code audits across specific commercial products, host programs, and domains. Although detected and eliminated bugs are often tallied, undetected bugs are typically unknown, and as a result the overall ROI of the audit endeavor is unmeasured. GrammaTech's research will develop mechanisms leading to the creation of realistic evaluation benchmarks that provide quantitative insights on the strengths and weaknesses of the security tools being used within an operational environment.

Lattix Announces Product Integration with GrammaTech

Lattix, Inc. and GrammaTech, Inc. announced the availability of an integration between GrammaTech CodeSonar® and Lattix Architect. This new product integration provides a combined solution for maintaining the architecture, quality, and security of complex C/C++ software systems throughout the software development lifecycle. The Lattix Architect CodeSonar integration leverages the data from CodeSonar's source code analysis to enable users to manage the complexity and analyze the architecture of the software system with Lattix Architect. The capability to explore dependencies between functions, variables, class methods, fields, and macros significantly improves impact analysis and support for refactoring initiatives. Users can conduct impact analysis on defects identified by CodeSonar, utilizing impact tags and reports to identify those parts of the architecture which could be affected directly or indirectly by changes in the code.

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