Arrest Made in LA Robberies Targeting Mail Carriers
Federal charges have been filed against a man arrested in Los Angeles for a series of armed robberies targeting U.S. Postal Service carriers. The arrest is part of a broader effort to address a spike in postal crime in the region.
Andranik Naghdalyan, 28, has been charged with five counts of second-degree robbery following a joint investigation by the Los Angeles Police Department and the U.S. Postal Inspection Service. The charges stem from a series of armed robberies of mail carriers that occurred between December 3, 2025, and February 22, 2026, in the San Fernando Valley communities of Studio City, Valley Village, and Sherman Oaks. In each incident, the suspect, allegedly armed with a firearm, targeted postal carriers to steal their universal "arrow" keys and electronic scanners. Investigators identified a white Lexus sedan as the vehicle used in the commission of the crimes, and an arrest was made during a vehicle stop shortly after the final robbery on February 22, 2026. Authorities have released Naghdalyan's photograph as they believe there may be additional unreported victims. This series of robberies reflects a nationwide surge in attacks on postal workers. Robberies of mail carriers increased sixfold over the last decade, with 643 incidents reported last year. The primary targets are often the "arrow keys," which provide access to mailboxes and their contents, facilitating financial crimes like check fraud. In response, the U.S. Postal Service launched "Project Safe Delivery" in May 2023, a nationwide initiative to protect postal employees and secure the mail. The project includes the deployment of 12,000 high-security collection boxes and the planned replacement of 49,000 traditional arrow locks with more secure electronic versions. Technological advancements are a core component of this security overhaul. The USPS is utilizing artificial intelligence and machine learning to identify and intercept counterfeit postage and is enhancing authentication processes to combat change-of-address fraud. This move toward a more data-centric security model mirrors trends in urban law enforcement. The Los Angeles Police Department itself is increasingly leveraging technology to manage and analyze massive datasets generated by surveillance and body-worn cameras. The department is exploring AI-powered tools to analyze video footage from thousands of traffic stops to improve officer training and accountability. Handling the immense volume of video data from tens of thousands of city cameras presents a significant infrastructure challenge. Effectively processing, storing, and analyzing these large-scale video feeds in real-time requires a robust big data infrastructure, utilizing cloud computing and advanced analytics frameworks to automate threat detection and provide actionable intelligence.
