BLACK EAGLE GROUP™
AI Threat Research // US Domestic
"To provide U.S. defenders with intelligence and analysis on emerging adversary AI capabilities."
Adversaries are increasingly exploring artificial intelligence (AI) to automate, accelerate, and scale malicious operations. State-aligned actors and violent non-state actors are examining how AI enhances offensive capabilities across multiple domains.
Cybercriminal syndicates and ransomware groups are primarily leveraging AI within cyber operations, including malware development, intrusion automation, large-scale social engineering, and the automation of attack tooling and cybercrime workflows.
Black Eagle Group analyzes and emulates adversarial AI techniques to document emerging patterns of AI-enabled threat activity.
Black Eagle Group™ studies how artificial intelligence enhances the development, acceleration, and operationalization of offensive capabilities.
Research activities examine adversarial use cases, synthesis pathways, and evolving methodologies emerging as machine intelligence becomes integrated into offensive workflows.
Black Eagle Group™ conducts adversary AI research and red-team development to study how malicious actors operationalize emerging AI capabilities.
This work includes the generation and analysis of adversarial artifacts used to understand attacker behavior and track the evolution of AI-enabled threat techniques.
Controlled red team software artifacts are also developed to evaluate antivirus and malware detection systems and identify detection gaps.
Black Eagle Group conducts adversarial analysis through controlled simulation, adversary emulation, and red-team software development.
These methods examine how emerging AI systems enhance malicious tooling, automation, and operational methodologies.
01 Multivector Adversarial Intelligence
Providing verified security stakeholders with intelligence on the evolving misuse of artificial intelligence across operational threat environments.
02 AI-Driven Threat Emulation
Developing controlled adversarial software simulations to help security teams evaluate detection coverage and behavioral telemetry in Windows 11 environments.
These simulations allow defenders to validate EDR, SIEM, and threat-hunting capabilities against evasive living-off-the-land TTPs.
03 Defensive Ecosystem Hardening
Contributing research insights and adversarial telemetry to the cybersecurity community to improve detection engineering and expand understanding of evasive AI-generated malware.