AI for Homeland Security

Three examples of MER using artificial intelligence (AI) to revolutionize security activities.

Artificial Intelligence (AI) has become an essential component in industries across the board, including the Homeland Security (HLS) sector.

At MER Group, we understand the significance of continuously educating ourselves – and our partners and clients – about the unique benefits of AI.

Here are three examples of how AI and machine learning are supporting HLS agencies and organizations:


1. Cyber security

AI and machine learning algorithms are becoming the cornerstone of the cybersecurity industry, as they improve the speed, accuracy and productivity of cyber security teams. Machine learning can spot any abnormality or potential vulnerability in the midst of “normal” activity and warn users of a threat before it could compromise essential data. AI tools optimize analysts’ time—by accelerating threat detection, expediting responses and protecting user identity and data flow—while keeping security teams in the loop and in charge.

2. Counter-drone systems

AI has significantly enhanced the efficiency and effectiveness of Counter-Unmanned Aircraft Systems (C-UAS) and plays a key role in safeguarding against drone threats. By leveraging AI and machine learning algorithms, C-UAS can analyze vast amounts of data from various sensors (including radar, EO/IR and RF sensors) to identify patterns, classify different types of drones and differentiate between friendly and hostile drones. This capability enables enhanced situational awareness and more timely warnings to ground troops or assets. C-UAS systems powered by AI can adapt and select the most appropriate measures (jamming, intercepting or disabling) to neutralize drone threats based on the identified threat level and capabilities. By interconnecting multiple C-UAS sensors and systems, AI algorithms enable seamless communication and data sharing among platforms and units, allowing for a coordinated response.


3. Video analytics

AI-Based video analytics, which refers to the process of deriving actionable insights and conclusions from video data, eases the burden of long-hour video observation by humans and enables new capabilities, such as facial recognition, intrusion detection and license plate recognition. Furthermore, the combination of AI, machine learning and big data analytics (identifying of patterns, trends and anomalies) assists humans in understanding video content. AI-based behavioral analytics can also make automated decisions based on observations made from the data collected.


AI is a game changer for Homeland Security, as it is in other sectors. It is revolutionizing border protection, making cities more efficient and safer, increasing situational awareness for command & control operators, and much more. Companies that do not integrate AI-based solutions risk falling behind.