The SEI Podcast Series will highlight the work of SEI researchers with different backgrounds, expertise, and interests. Some episodes will summarize the goals and results of advanced research projects at the cutting edge of science and technology. Other episodes will highlight the work of SEI technologists with customer-facing roles on applied, transition- and acquisition-oriented topics.
How Risk Management Fits into Agile & DevOps in Government
DevOps, which breaks down software development silos to encourage free communication and constant collaboration, reinforces many Agile methodologies. Equally important, the Risk Management Framework, provides a clearly defined framework that helps program managers incorporate security and risk management activities into the software and systems development life cycle. In this podcast, Eileen Wrubel, technical lead for the SEI’s Agile-in-Government program leads a roundtable discussion into how Agile, DevOps, and the Risk Management Framework can work together. The panelists include Tim Chick, Will Hayes, and Hasan Yasar.
5 Best Practices for Preventing and Responding to Insider Threat
Insider threat continues to be a problem with approximately 50 percent of organizations experiencing at least one malicious insider incident per year, according to the 2017 U.S. State of Cybercrime Survey. Although the attack methods vary depending on the industry, the primary types of attacks identified by researchers at the CERT Insider Threat Center—theft of intellectual property, sabotage, fraud, and espionage—continue to hold true. In our work with public and private industry, we continue to see that insider threats are influenced by a combination of technical, behavioral, and organizational issues. In this podcast Randy Trzeciak, technical manager of the CERT National Insider Threat Center, discusses the fifth edition of the Common Sense Guide to Mitigating Insider Threats, which highlights policies, procedures, and technologies to mitigate insider threats in all areas of an organization.
Pharos Binary Static Analysis: An Update
Pharos was created by the SEI CERT Division to automate the reverse engineering of binaries, with a focus on malicious code analysis. Pharos, which was recently released on Github, builds upon the ROSE compiler infrastructure developed by Lawrence Livermore National Laboratory for disassembly, control flow analysis, instruction semantics, and more. In this podcast, the SEI CERT Division’s Jeff Gennari discusses updates to the Pharos framework including new tools, improvements, and bug fixes.
Positive Incentives for Reducing Insider Threat
In the 2016 Cyber Security Intelligence Index, IBM found that 60 percent of all cyber attacks were carried out by insiders. One reason that insider threat remains so problematic is that organizations typically respond to these threats with negative technical incentives, such as practices that monitor and constrain employee behavior, detect and punish misbehavior, and otherwise try to force employees to act in the best interest of the organization. In this podcast, Andrew Moore and Dan Bauer highlight results from our recent research that suggests organizations need to take a more holistic approach to mitigating insider threat: one that considers the impact of organizational behavior on insider motivations. In particular, positive incentives can complement traditional practices for insider threat defense in a way that can improve employee worklife as well as more effectively reduce insider risk.
Dr. Andrew Moore, who is the Dean of the School of Computer Science at CMU, predicted that 2016 would be a watershed year for machine emotional intelligence. Evidence of this can be seen in the Department of Defense, which increasingly relies on biometric data, such as iris scans, gait recognition, and heart-rate monitoring to protect against both cyber and physical attacks. Current state-of-the-art approaches do not make it possible to gather biometric data in real-world settings, such as border and airport security checkpoints, where people are in motion. In this podcast, Satya Venneti presents exploratory research undertaken by the SEI's Emerging Technology Center to design algorithms to extract heart rate from video capture of non-stationary subjects in real-time.