KEY IDEAS:
- Law enforcement technology increases safety, efficiency, and situational awareness.
- Data integration is the key that unlocks everything an agency already has; adding more technology without it causes bloat and inefficiency.
- Emerging solutions such as real-time video monitoring, body-worn cameras and drones, artificial intelligence, and license plate recognition will enhance data-driven policing.
- Agencies adopting modern law enforcement technologies face complicated challenges around data silos, data sharing, and regulatory concerns.
- Integrated data enables interagency collaboration without sacrificing security and privacy.
Law enforcement technology is transforming policing by promoting efficiency, increasing safety, and guiding data-driven decisions. But as agencies modernize, they also have to navigate tech-related challenges, including:
- Ethical and legal considerations
- Budget concerns
- Outdated fragmented, and siloed technology
Sophisticated data integration and analytics solutions can reduce some barriers to modernization by unifying siloed systems and simplifying tech stacks.
What is law enforcement technology?
Law enforcement technology refers to tools, applications, and systems that support police personnel. That includes physical police technology equipment, such as:
- Fingerprint readers
- CCTV cameras
- Body-worn cameras
- Mobile data computers
- License plate recognition (LPR) systems
- Drone technology
Personnel also rely on law enforcement software that makes agencies more efficient, such as:
- Digital records management systems (RMS)
- Computer-aided dispatch (CAD) systems
- GPS navigation
- Data integration platforms
READ MORE → What is Law Enforcement Software? Types, Benefits, and Top Systems in 2026
Analysts, patrol officers, investigators, and command staff leverage multiple systems to guide their actions. And as police tech rapidly evolves, forward-thinking leaders are exploring new solutions to level up these foundational technologies. Agencies planning a CAD or RMS transition are especially well placed to rethink how those systems connect.
💡 WHAT IS LAW ENFORCEMENT TECHNOLOGY USED FOR?
Over the past 60 years, vendors have developed tech solutions to enhance nearly every aspect of policing. Modern police tech works to keep officers safe, gather evidence, improve situational awareness, aid in investigations, and store and analyze information.
What are the most important emerging technologies in law enforcement?
Emerging technologies aim to enhance agencies’ current tech stacks by better organizing, processing, analyzing, and integrating various data sources.
With more technology than ever creating more data at their disposal, agencies benefit from a way to synthesize their disparate inputs, quickly identify and disseminate useful information, and reduce menial work. The next few years will see a focus on interoperable solutions that help agencies achieve these goals. Five technologies stand out in 2026, starting with the one that makes the rest work: data integration.
Data integration: the key to unlocking what agencies already have
Agencies already own a wealth of technology and data, including records management, dispatch, video, and sensors. But each new piece of technology gathers valuable data and, in many cases, stores that data in a silo. Until recently, agencies haven’t been able to view or manipulate all of their data at once in a cohesive, unified platform.
An effective data integration platform ingests data from multiple sources, providing context and allowing personnel to manipulate, analyze, and action their data in its entirety. These platforms also power decision-support tools, such as dashboards for the real-time crime center and resource-allocation views, that help leaders run CompStat reviews and act on current information.
Adding more technology without a data integration platform makes the problem worse, not better. Every new tool becomes another system to log into, another silo to search, and another source of duplicate work, which leads to technology bloat and inefficiency. Integrating first also protects agencies from vendor lock-in, because their data stays accessible no matter which systems come and go, and it helps simplify the modern data stack.
The best data integration platforms include intuitive features, such as:
- Customizable interfaces
- Granular user controls
- Dynamic data visualizations
- Automated reporting
- Supercharged data analysis tools
User-friendly platforms ensure personnel at every level can get the information they need, when they need it.
DECIDING WHAT DATA TO INTEGRATE
Public safety data integration platforms like Peregrine do not collect new data. The platform integrates a customer’s data so authorized personnel can make informed decisions. Some localities choose to integrate all of their data, while others omit or severely restrict access to specific types, like ALPR or HIPAA-related material.
With data integration in place, each of the technologies below becomes more valuable because its data connects to everything else.
Real-time video monitoring and analytics
Video security systems help law enforcement agencies collect evidence, identify suspects, and enhance real-time policing efforts. With remote video monitoring, analysts in a real-time crime center can gain situational awareness before arriving on the scene to enhance safety and inform strategy. Advanced systems may be able to notify personnel when anomalies occur, and some programs employ biometrics for identification. A guide to building an RTCC for agencies of all sizes outlines best practices for agencies starting from scratch.
Body-worn cameras and drones
Body-worn cameras capture first-person video that supports evidence collection, transparency, and officer accountability. Drones, including drone-as-first-responder (DFR) programs, give agencies an aerial view of incidents, searches, and crash scenes before officers arrive. Both generate large volumes of video to store, retain, and review, which makes integration with records and evidence systems essential.
Powerful, targeted AI tools
An effective data integration platform such as Peregrine further enhances insights through artificial intelligence. Intentional AI solutions help reduce clutter, making existing data more useful. Because operational AI requires a foundation of unified, trustworthy data, integration is a common first step. Personnel spend less time sifting through messy data and performing rote tasks, freeing them up for more complex and rewarding work. Effective applications of AI include:
- Entity resolution
- Generating summaries for individuals or case dossiers that investigators can review
- Tagging and organizing unstructured data
- Performing advanced data analysis
- Drafting incident reports for officer review
A common thread for all responsible AI usage in public safety and law enforcement is the concept of Human in the Loop. The AI does not make any decisions, and all material it presents must be linked back to the base data in the source system. All decision-making authority rests with the agency personnel.
License plate recognition systems
LPR systems continuously scan passing vehicles, capturing information far faster than a patrol officer’s manual ability. They can run a vehicle’s license plate against relevant databases, identifying links to arrests or warrants. This can help speed up investigations by identifying and tracking vehicles connected to crimes, such as missing persons cases, hit-and-run incidents, or carjackings. A best practice for agencies weighing LPR is to review local laws and regulations before deciding how to deploy such systems and how to integrate them into the broader public safety technology stack.
What laws and regulations govern law enforcement technology?
Technology adoption is shaped by a patchwork of federal, state, and local rules. Common considerations include:
- CJIS Security Policy: The FBI's Criminal Justice Information Services (CJIS) Security Policy sets minimum security requirements for systems that store, process, or transmit criminal justice information, including encryption, access control, and audit logging.
- State and local technology regulations: Many states and cities regulate how long license plate data can be retained, whether facial recognition can be used, and how AI-assisted work is disclosed in reports.
- Transparency ordinances: A growing number of jurisdictions require public notice, community input, or council approval before agencies acquire certain technologies.
- Funding conditions: Federal and state grants, such as Byrne JAG and COPS programs, can fund technology purchases but often come with reporting, privacy, and procurement requirements.
Because requirements vary by jurisdiction, a common best practice is to confirm current rules with legal counsel and the agency's CJIS Systems Officer before deploying new tools.
What are the biggest challenges with law enforcement technology?
Public safety leaders face unique hurdles when implementing new technologies. Police agencies handle highly sensitive data, and any missteps could result in severe consequences. Common challenges include:
- Siloed systems
- Ineffective data sharing methods
- Privacy and security concerns
Data silos and fragmented police systems
Data silos are an especially prevalent issue for law enforcement agencies. To solve one case, an investigator might leverage information from five different source systems, each of which gathers, processes, and stores data differently. When disparate systems do not communicate with each other, the result is fragmented information stored in siloed datasets, leaving the investigator to manually search, export, and look for connections.
Breaking down data silos is a complex issue:
- Regulatory, privacy, and security concerns add complexity.
- Personnel might be resistant to change or skeptical of integration technology.
- Most police tech solutions weren’t designed to share data.
But modern data platforms for law enforcement offer a way forward. An effective data integration platform ingests nearly any type of data, from internal or external sources, then cleans and organizes it into a unified data asset. As a result, agencies can fully act on their data.
READ MORE → How To Bridge the Data Divide in Law Enforcement
Considerations for interagency collaboration
Effective interagency collaboration is essential for public safety. It makes it easier to identify trends, strategize coordinated responses, and tackle issues such as organized crime and overdose trends that often cross jurisdictional lines. But agencies often operate in technical and cultural silos, meaning key information is fragmented across several local, county, or state entities.
Collaboration works best when it is done in a measured way that protects privacy. A best practice is for each agency to decide what to share, with whom, and under what controls, rather than opening up all of its data by default. Real-time crime centers are a common hub for this work, as this look at how RTCCs support interagency collaboration explains, and Peregrine 101 walks through how it works in practice. Co-response and crisis programs are another example; this guide to building a crisis response program shows how to unify data across agencies.
RESTRICTING DATA IN A COLLABORATION
Each interagency collaboration arrangement starts at zero access and builds from there. The data holder decides what types of their data will be included and what the system-enforced access policies will be for each data type across roles and contexts. Data holders can restrict exports and require in-the-moment access justifications logged as official records.
Several considerations shape effective interagency collaboration:
- Personnel may be hesitant to cross jurisdictional lines due to longstanding practices, so collaboration works best when it is voluntary and built on trust.
- Agencies use different tech solutions that process and code data differently, so they lack consistency among datasets and struggle to create a common operating picture. Open, interoperable systems and strong data stewardship help close that gap.
- Best practice is to limit sharing to only what is needed.
COLLABORATION AND DATA SOVEREIGNTY
You will never lose control of your community’s data in Peregrine. There is no interagency collaboration by default; each instance is established on a one-to-one basis and subject to strict and granular access controls that you decide. All collaboration arrangements require signed Memorandums of Understanding and the system architecture enforces the data holder’s access policies. Access can be revoked by an agency at any time. Read more in our Trust Center.
Privacy, civil liberties, and CJIS compliance
While new systems can make operations safer and more efficient, agencies also have to navigate public concerns over police technology, especially around increased video monitoring, as well as applicable policy and law. Best practices for law enforcement leaders include:
- Being transparent with their communities
- Proactively creating guardrails
- Crafting effective policies that dictate how information is gathered, stored, and used
To enhance security, many agencies look to a CJIS-compliant data integration platform that’s committed to data privacy and security. See how Peregrine supports the IT personnel responsible for securing agency data.
PRIVACY AND CIVIL LIBERTIES
Peregrine is built to protect privacy and civil liberties while enabling communities to get the most out of their institutions. Our cybersecurity architecture keeps the public sector’s data secure, while access policies and system architecture built on least-privilege principles, accountability audit logs, and granular data controls ensure authorized and lawful use. Read more in our Trust Center.
Why is data integration foundational to modern policing?
New technology in law enforcement has the potential to revolutionize how agencies operate, creating safer, more efficient environments. As agencies explore solutions like AI, video monitoring, and LPR systems, a common pitfall is adding technology without a platform to connect it. Data integration turns every tool an agency already owns into a coordinated whole.
A trustworthy, vendor-agnostic data integration platform like Peregrine:
- Breaks down data silos
- Enables measured, privacy-protecting interagency collaboration
- Protects communities’ most critical and sensitive data
Explore Peregrine for your role: command staff, investigations, analysts, patrol, or IT personnel.
To learn how Peregrine can support your agency’s growth and digital transformation, contact our team today.
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