PMF Reports No Security Breach on Syrian Border, Ready for Aggression
The Popular Mobilization Forces confirmed no security breaches on the Syrian border and stated their readiness to address aggressions against Iraq. Qasim Musleh emphasized high training levels, effective coordination between security agencies, and robust intelligence efforts to ensure border security.
The Popular Mobilization Forces (PMF) announced on Tuesday that there have been no reported security breaches along the Syrian border. They emphasized their readiness to respond to any potential aggression targeted at Iraq’s borders, highlighting comprehensive preparations and inter-agency collaboration.
According to Qasim Musleh, the commander of operations in Anbar, the PMF has attained a high level of capability in terms of training and armament. He noted that there is effective coordination among the security agencies, including the army, border forces, police, and interior department, stressing the importance of cooperation with tribal mobilization against terrorist threats.
Musleh indicated that both tribal forces and security personnel are poised to counter any threats to Iraq’s borders. He pointed out that there is a robust technical and intelligence framework in place, utilizing surveillance methods such as cameras and drones to monitor any movements across both sides of the border.
He asserted, “We have not recorded any security breach on the Syrian-Iraqi border so far,” reaffirming the diligence of PMF’s security and intelligence services that operate continuously to gather information on potential threats.
In conclusion, the Popular Mobilization Forces have reported no security breaches along the Syrian border, demonstrating readiness to confront any aggression aimed at Iraq. With enhanced training, effective inter-agency collaboration, and strong intelligence efforts, they remain vigilant in monitoring border security. The cooperative approach with tribal forces plays a crucial role in countering terrorism, particularly from Daesh.
Original Source: ina.iq
