SBIR/STTR Research Award

ICS-SCADA for the 688th Air Wing Use Case

Award identifier 720bde53cd7419b3fea5abcab71f1b8f1100acbd5f3c8d24dd60e9416c9488eeAwarding agency Department of Defense · Air Force

Award amount

$1,237,977

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
FORWARD EDGE AI INC
Proposal award date
2023-01-03
Contract end date
2023-12-04
UEI
KRCZZNY5WPZ8
Solicitation number
X22.4
Topic code
X224-ODCSO1

Research abstract

This solution addresses the Tech Focus Areas of Microelectronics and Cybersecurity. On April 13, 2022, the Cybersecurity, and Infrastructure Security Agency (CISA), Department of Energy (DOE), Federal Bureau of Investigation (FBI), and National Security Agency (NSA) issued a rare joint alert that Advanced Persistent Threat (APT) actors had gained full system access to multiple industrial control systems including Supervisory Control and Data Acquisition (SCADA) and IoT devices with the goal of disabling US energy infrastructure. In August 2019 Microsoft reported that hackers working for the Russian government were using printers, video decoders, and other IoT devices as a beachhead to penetrate targeted computer networks. In May 2019, the Mirai botnet was found using a total of 13 different exploits to target routers and other IoT devices. In addition, in August 2018, CNET warned that hacked appliances like air conditioners could bring down a state’s power grid. Vulnerabilities to US critical infrastructure are rooted in the limitations of existing network-protection systems; gateways and firewalls can become compromised. Static firewalls are not device-specific and cannot adapt to changing security states. Some of these challenges are due to the low-cost and high-volume nature of IoT and SCADA devices. High Assurance, NSA endorsed cryptographic products that can provide IoT/SCADA security, can range from $10K per unit to $2M per unit. As a result, it is currently not economically feasible to protect these devices against both classical and quantum level attacks. Forward Edge-AI is also augmenting a commodity chip with a Real-Time Machine Learner (Artificial Intelligence) capability to understand the patterns of life for a facility, its data network, as well as its devices and users, to identify subtle deviations indicative of an emerging attack. Isidore will also be able to defend against attacks by executing an “immune system” response to stop threatening activity as it occurs.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

15 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $9,991,791. Reported amounts are not federal obligations.

Phases: Phase I, Phase II – Direct to Phase II, Phase II

Agencies: Department of Defense, National Science Foundation

Agency intelligence

Department of Defense

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