Digital Domain Discovery (3D) features a beginner's program of instruction focused on teaching basic research methodologies for publicly available information (PAI), in a 2-day course, entirely online.
Our April Dark Web Seminar is designed to provide a foundational and advanced understanding of the hidden areas of the internet.
Our AD² course equips researchers with the necessary skills to safely understand the digital environment. Register today for our April Advanced Digital Discovery course!
Join us on April 12, 2023 for a technical webinar regarding Unraveling Complexity through Fate and Transport Numerical Simulations in a Tidally-Influenced, Density-Driven Flow Regime.
CASO™ I readiness programs provide best-in-class certification standards to understand and exploit publicly available information (PAI) using advanced and safe research techniques for actionable insights and decision making. Register today for our May CASO™ I readiness program!
Join us on May 1o, 2023 for a technical webinar regarding Lessons Learned in Applying PFAS Adsorption Technologies to Surface Water and Groundwater.
The May Kali Linux course prepares students to conduct OSINT investigations using a Debian-based Linux distribution.
Parsons' June CASO™ I readiness program provides best-in-class certification standards to understand and exploit PAI.
Join us on June 14, 2023 for a technical webinar regarding Leveraging Sustainability: A Framework to an Improved Remediation Process.
The CASO Specialty Dark Web Immersion Course is designed to provide a secure environment where researchers and analysts can develop a foundational knowledge of dark web networks and the content found therein.
Digital Domain Discovery (3D) features a beginner's program of instruction focused on teaching basic research methodologies for publicly available information (PAI), in a 2-day course, entirely online.
Join us on July 12, 2023 for a technical webinar regarding Determining Blast Resilience of Critical Fiber Optic Equipment by Advanced Predictive Modeling and Validation Testing.