Company
Portfolio Data
Back to Company SearchSIEGE TECHNOLOGIES, LLC
UEI: YDHNXDK5LXK5
Number of Employees: 19
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
SBIR/STTR Involvement
Year of first award: 2010
5
Phase I Awards
1
Phase II Awards
20%
Conversion Rate
$648,291
Phase I Dollars
$963,487
Phase II Dollars
$1,611,778
Total Awarded
Awards
Cybersecurity for Standalone Airgap Systems
Amount: $149,321 Topic: AF191-049
WriteWarden provides full-time, in-situ data device protection, allowing selected permitted and verified writes to occur to the device, while reliably performing hardware-enforced, full write-protection at all other times. In all instances of unverified writes, WriteWarden is designed to fail safe, prohibiting all modification to the data storage media though not only software assurances, but also physically verifiable means. Through the application of flexible hybrid software/hardware-based solutions, differing applications can be addressed through customization tailored for the needs of a specific air-gapped system. For example, in instances where additional hardware can be added to the system, high assurance will be provided by discrete shims implementing write-protection and write verification. This is the primary
Tagged as:
SBIR
Phase I
2019
DOW
USAF
ADHoC Adversarial Machine Learning for the Hardening of Cyber Defenses
Amount: $99,613 Topic: A18-050
Siege proposes to develop the ADHoC (Adversarial Machine Learning for the Hardening of Cyber Defenses) software capability which combines a novel implementation of adversarial machine learning with a high-fidelity cyber simulation and evaluation environment to harden DML. The proposed solution provides a process for pairing cyber-attacks with AML algorithms in order to defeat DML systems. Through the process of learning how to defeat DML systems, ADHoC will identify the precise strategies, techniques, and data that led to a successful outcome. This knowledge can then be used to construct new training sets or improved ML models that can be used to harden the DML system against similar attacks. Over multiple iterations, both the AML attacker and DML defender will improve and produce more secure systems. Siege believes that the unique combination of novel AML implementations along with a high fidelity cyber simulation and evaluation environment is innovative and will significantly raise the bar for machine learning based intrusion detection and prevention leading to more secure systems for the U.S. Army.
Tagged as:
SBIR
Phase I
2018
DOW
ARMY
Diversified Hypervisors
Amount: $149,952 Topic: AF16-AT11
The widespread adoption of cloud computing resources has resulted in the proliferation of virtualization technologies.New technology begets new attack vectors; consequently, a new breed of malware techniques have emerged that detect the presence of a virtual machine or hypervisor and respond by directly attacking the hypervisor in an attempt to breakout of the virtual machine container. To counter this emerging threat, Siege Technologies proposes to research novel hypervisor based security primitives and extend its existing small footprint, cross-platform hypervisor with advanced security capabilities to protect OS kernels and nested inner hypervisors.Advanced hypervisor based defenses will help ensure trustworthy computation on virtualized systems despite the growing threat to virtualization technologies. Sieges hypervisor maintains a small footprint by offloading the complexities of VM management, physical device sharing and virtual device emulation to the native operating system or traditional inner hypervisor (e.g. VMWare, Xen, KVM).This design allows the Siege hypervisor to reduce its complexity, decrease its own software attack surface, and most importantly, specialize in supporting research and design into radical new security and forensics mechanisms.
Tagged as:
STTR
Phase I
2016
DOW
USAF
Anti-Exploitation Software Protection Systems
Amount: $963,487 Topic: OSD11-IA1
State-of-the-art software protection and anti-tamper systems move critical software and data out-of-band to the adversary, by using a hypervisor or on secure hardware. Unfortunately, the systems running this software are built using untrusted commercial-off-the-shelf (COTS) parts. Supply chain threats to critical components, such as hardware or firmware Trojans, have invalidated the assumption that we can move our critical software and data completely out-of-band to the adversary, since the hardware components on which the software ultimately executes is untrusted. As a result, one must re-think the fundamental approach to building software protection and anti-tamper systems. Sieges Phase I effort showed successful results in applying Fractionation to COTS systems. The Phase II will focus on transitioning the technology to custom systems, such as avionics, are comprised of COTS parts that are just as susceptible to attacks levied via hardware or firmware Trojans. The need for this technology transition is paramount as unlike commercial systems where the impact is often financial, the compromise on mission critical DoD & avionics systems could be catastrophic, resulting in impaired or a hindered ability to command and control forces at crucial moments during conflict, and could ultimately lead to the loss of life.
Tagged as:
SBIR
Phase II
2013
DOW
OSD
Anti-Exploitation Software Protection Systems
Amount: $149,884 Topic: OSD11-IA1
State-of-the-art software protection and anti-tamper systems move critical software and data"out-of-band"to the adversary, by using a hypervisor or on"secure"hardware. Unfortunately, the systems running this software are built using untrusted commercial-off-the-shelf (COTS) parts. Supply chain threats to critical components, such as hardware or firmware Trojans, have invalidated the assumption that we can move our critical software and data completely"out-of-band"to the adversary, since the hardware components on which the software ultimately executes is untrusted. As a result, one must re-think the fundamental approach to building software protection and anti-tamper systems. Siege Technologies proposes a methodology and system to address these concerns on a COTS system, or a system composed of COTS parts. Our solution is specifically designed to augment existing software protection mechanisms, shielding them from attack by malicious hardware alterations. The research and systems design conducted in Phase I will shed new light on the problem space and establish new protection capabilities that guard against this threat and enable the system to run protected code in the presence of potentially compromised hardware.
Tagged as:
SBIR
Phase I
2012
DOW
USAF
Preventing Sensitive Information and Malicious Traffic from Leaving Computers
Amount: $99,521 Topic: OSD10-IA4
Malicious software within a network has the ability to gather information and surreptitiously send it out. This poses a significant threat to critical information residing on the network that is not sufficiently prevented by current network security appli
Tagged as:
SBIR
Phase I
2010
DOW
ARMY