Adversary AI Research
Red Team Intel
Black Eagle Group™
"To provide U.S. defenders with intelligence and analysis on emerging adversary AI capabilities across cyber, cognitive, and physical threat domains."
Adversaries are increasingly exploring artificial intelligence to automate, accelerate, and scale malicious operations. State-aligned actors and violent non-state actors are exploring the use of AI across cyber, kinetic, chemical, cognitive, and biological domains.
Cybercriminal syndicates and ransomware groups are primarily leveraging AI within cyber operations, including malware development, intrusion automation, and large-scale social engineering.
Our mission is to analyze and emulate adversary AI techniques to document emerging patterns of AI-enabled threat activity.
Black Eagle Group™ conducts adversary AI research, emulation, and red-team development to study how artificial intelligence may be leveraged by malicious actors across multiple operational domains.
Our work focuses on the generation and analysis of AI-enabled threat artifacts to understand adversary behaviors and track the evolution of AI-driven threat techniques. As part of this research, Black Eagle Group also develops red team software artifacts used to evaluate anti-virus and malware detection systems and identify detection gaps.
01 Multivector Adversarial Intelligence
Providing verified security stakeholders with actionable intelligence on the evolving misuse of artificial intelligence across cyber operations, cyber-physical threats, influence campaigns, and related adversarial techniques.
02 AI-Driven Threat Emulation
Developing controlled adversarial software simulations to help security teams evaluate detection coverage and behavioral telemetry in modern operating environments.
These simulations allow defenders to validate EDR, SIEM, and threat-hunting capabilities against emerging AI-assisted attack patterns.
03 Defensive Ecosystem Hardening
Contributing research insights and adversarial telemetry to the cybersecurity community to improve detection engineering and expand understanding of AI-enabled threat techniques.