NEW SECURITY PARADIGMS AND THEIR IMPACT ON  
INFORMATION SYSTEMS  
Colonel (ret) Professor Gruia TIMOFTE, Ph.D  
(Academy of Romanian Scientists, 3 Ilfov, 050044, Bucharest, Romania,  
email: secretariat@aosr.ro)  
Abstract: This paper presents the main aspects regarding the technological  
convergence of information systems from various fields in the security environment  
and has as its main objective the satisfaction of all technical, functional and  
operational requirements of all elements in the modern battlespace. Also, the in-  
depth study of these systems highlights the need to train all categories of personnel  
for their efficient use and obtaining superior operational performances in  
conditions of effective cooperation and interoperability.  
Keywords: paradigm, security, convergence, integration, data-centric,  
computing.  
DOI  
10.56082/annalsarscimilit.2026.2.69  
1. INTRODUCTION  
The fourth industrial revolution describes the rapid technological  
advancements of the 21st century. Part of this phase of industrial change is  
the merging of advanced technologies such as artificial intelligence (AI),  
gene editing with advanced robotics, which blur the boundaries between the  
physical, digital and biological worlds. The integration of modern intelligent  
technology, large-scale machine-to-machine communication and the  
Internet of Things (IoT) is leading to increased automation, improved  
communication and self-monitoring, the use of intelligent machines that can  
analyze and diagnose various problems without the need for human  
intervention.1  
Technological convergence is the tendency for technologies that  
were initially unrelated to each other to become closely integrated and even  
unified as they develop and implement. For example, telephones, television,  
computers, and social media platforms began as separate, largely unrelated  
technologies,  
but  
have  
since  
evolved  
into  
an  
interconnected  
telecommunications, media, and technology industry. Convergence is the  
deep integration of relevant human knowledge, tools, and activities toward a  
Entitled member of the Academy of Romanian Scientists, Military Sciences Section,  
phone: 0731684461, email: timmy.gruia@yahoo.com.  
1 McKinsey & Company, The Industry 4.0, the Fourth Industrial Revolution, and 4IR, First  
programmable controller based automation), 2014.  
69  
   
NEW SECURITY PARADIGMS AND THEIR IMPACT ON INFORMATION SYSTEMS  
common goal, enabling society to respond to new demands for changing  
physical or social ecosystems2.  
Integration is a transformation process measured by the degree to  
which diverse technical environments, such as telephony, data transmission,  
and information technology infrastructures, are combined into a single  
platform with a universal network architecture.  
Digital convergence is the tendency for diverse digital innovations  
and environments to become closer together over time. This type of  
technological convergence creates new opportunities, especially in the field  
of product realization and development strategies for digital product  
companies. In this situation, digital convergence encompasses three  
phenomena:  
- previously independent devices are connected through networks  
and software, significantly improving the functions of the systems;  
- previously independent products are converged on the same  
platform, creating hybrid products;  
- companies overcome traditional boundaries for some products,  
such as hardware and software, in order to offer new ones.  
Convergence can also refer to the ability to run the same application  
on different devices and develop applications for other devices  
simultaneously, with the same code base3.  
2. NEW SECURITY PARADIGMS IN THE 21ST CENTURY  
A security paradigm is the conceptual framework and fundamental  
approach by which threats are identified, assessed and managed. It is  
evolving from traditional models, focused on the state and military defense,  
towards a modern, social, ecological and digital perspective, focused on  
resilience, cooperation and human security in the face of complex risks,  
such as climate change or cyber attacks.  
New security paradigms in the 21st century have evolved from a  
focus on state military defense to a multidimensional concept, defined by  
hybrid, non-state and technological threats. Modern security integrates  
economic, cyber, social and health dimensions, being influenced by  
technological convergence and globalization.  
The essential characteristics of these new paradigms include 4:  
- the shift from state security to human security: the focus is on  
protecting the individual and the community, not just borders;  
2
David Messerschmitt, The Prospects of Computing Communications Convergence,  
Munich, Germany, 2007.  
3
Cristian Barna, Valentin Nicula, Security Paradigms in the 21st Century, RISR, No. 23,  
Bucharest, 2020, pp. 122-124.  
4
Gabriel Gabor, Caracteristici ale paradigmelor de Securitate în secolul XXI, Bucharest,  
2014, pp. 35-37.  
70  
     
Colonel (ret) Professor Gruia TIMOFTE, Ph.D  
- hybrid and non-state threats: non-state actors and cyberattacks,  
along with disinformation, define new conflicts;  
- technological convergence: Artificial intelligence and emerging  
technologies are reconfiguring defense and intelligence;  
- transnational security targets issues such as terrorism, pandemics  
and climate change that require international cooperation, going beyond  
classical neorealist approaches.  
This transformation involves a redefinition of international relations  
and security models, moving from a purely military approach to a holistic  
one, based on information and cybersecurity.  
Security in the 21st century has ceased to target only the means of  
combat and borders, moving from the traditional (military) vision to a  
multidimensional one.  
The main paradigm shifts are 5:  
- Human security: The focus has shifted from protecting the state to  
protecting the individual. This includes economic, food, personal and health  
security.  
- Broadening the spectrum of analysis: Security now encompasses  
five essential sectors: military, political, economic, societal and  
environmental. An economic crisis or the collapse of ecosystems are seen  
as direct threats to stability.  
- Asymmetric and hybrid threats: We are no longer talking only  
about wars between regular armies, but also about terrorism, cyber attacks,  
disinformation and energy pressures. The border between “peace” and  
“war” has become very diffuse.  
- Cybersecurity: Critical infrastructure (communication routes,  
electricity, banks, hospitals) is now vulnerable to remote attacks, turning  
digital code into a weapon as dangerous as a projectile.  
- The return of great power competition: While transnational threats  
(climate change) persist, we are witnessing a return of classic geopolitical  
rivalries but in a context of total economic interdependence.  
- Artificial Intelligence is not just a new technology, but a force  
multiplier that is redefining the speed and nature of modern conflicts. It  
functions as a "double-edged sword", offering immense tactical advantages,  
but also new vulnerabilities.  
The main directions of in-depth study are:  
a.  
Cyber war and Security6:  
b. AI transforms digital security from a reactive process to a  
predictive and autonomous one. Automatization of attacks:  
5
Cristian Alexandru, Schimbarea paradigmelor in mediul internațional de securitate,  
Intelligence Info No. 3, vol.2, 2023, pp. 72-73, 80-81.  
6
Peter Singer, Allan Friedman, Cybersecurity and Cyberwar, Oxford University Press,  
2014.  
71  
   
NEW SECURITY PARADIGMS AND THEIR IMPACT ON INFORMATION SYSTEMS  
• Attackers are using AI to discover vulnerabilities in seconds, a  
process that previously took hours.  
• Proactive defense: Defensive systems can detect anomalies and  
respond to incidents in real time, without constant human intervention.  
• Autonomous systems: Software agents are emerging that are  
capable of adapting attack or defense strategies “on the fly,” surpassing the  
responsiveness of human analysts.  
c. Perception manipulation and information warfare:  
AI has multiplied the creation of fake content, turning disinformation  
into a threat to democratic stability.  
• Deepfakes and voice cloning: These can be used to discredit  
political leaders or induce social panic.  
• Micro-targeting: Algorithms analyze massive data to deliver  
personalized disinformation messages that exploit the specific fears of  
certain population groups.  
d. Intelligence and strategic analysis:  
For intelligence agencies, AI is the solution to the big data challenge  
of the 21st century.  
• Big Data Analytics: Can correlate billions of open-source data  
points to predict crises or troop movements.  
• Early Warning: Predictive models can identify weak signals that  
signal a terrorist attack or geopolitical crisis before they materialize.  
e. Ethical dilemmas and existential risks:  
Integrating AI into security raises fundamental questions about  
human control.  
• The “Human-in-the-loop” principle: There is intense debate about  
whether the decision to use lethal force should ever be left to an algorithm  
(“black box”).  
• Autonomous weapons systems: These promise to reduce the risk to  
one’s own soldiers, but increase the risk of accidental escalation of conflicts.  
In our country, the emphasis is on ethical use and increasing cyber  
resilience in the face of these new challenges.  
3. TECHNOLOGICAL CONVERGENCE IN THE CONTEXT  
OF NEW SECURITY PARADIGMS  
It represents the fusion of advanced digital technologies, physical  
security, and analytics capabilities, redefining how threats are detected,  
prevented, and managed in the 21st century. This integration blurs the  
boundaries between cyber and physical security, creating unified  
ecosystems.  
72  
Colonel (ret) Professor Gruia TIMOFTE, Ph.D  
Key Technology Convergence Trends (2025-2026)7:  
Edge AI: Modern cameras and sensors integrate native AI to move  
from simple motion detection to behavioral understanding (e.g., identifying  
‘wandering’, abandoned objects, crowds, or aggression).  
• Unified Hybrid Systems: Integrating CCTV, access control, and  
intrusion systems into a single management platform gives operators a  
holistic view of the security situation.  
• Predictive Analytics: Modern technologies use data to predict  
potential threats before they materialize.  
• IoT and Cybersecurity: The large number of connected devices  
(IoT) requires robust cybersecurity to prevent them from becoming entry  
points for attackers.  
The new security paradigms are:  
• Technological security: It is becoming a crucial area, with  
technology dependency meaning that investments in this sector are essential  
to not be left behind.  
• Resilience of critical entities: Convergence requires increased  
attention to the security of critical infrastructures, AI and data privacy.  
• Quantum and human technologies: The convergence elements of  
these technologies are identified as tools that fundamentally change the  
paradigm of security and human “improvement”.  
In our country, challenges include the need for adaptation through  
retraining and the use of digital technologies, given the importance of  
information and economic security as a support for military security.  
Technological convergence in new security paradigms leads to the  
disappearance of the boundaries between physical, cyber and governance  
systems. We are no longer talking about isolated solutions, but about an  
interconnected ecosystem.  
The main pillars of this evolution are the following8:  
a. IoT integration with territorial infrastructure: Security no longer  
only targets data on servers, but also critical infrastructure (electricity grids,  
transport). A cyber attack now has immediate physical consequences.  
b. Artificial Intelligence and automation: AI is used dually. On the  
one hand, for proactive anomaly detection (identifying attacks before they  
occur), and on the other hand, in order to create means and procedures for  
protection.  
c. Cloud native and Zero trust: The transition from the concept of a  
"secure perimeter" to that of "zero trust", where the user's identity is  
constantly verified, regardless of location or device.  
7 *** US Congressional Research Service, The Army’ Project Convergence, Washington,  
DC, 2022, pp.2-3.  
8 Jeremy Gannon, Telecom Systems Integration, University of Phoenix, USA, 2024, pp. 4-5.  
73  
   
NEW SECURITY PARADIGMS AND THEIR IMPACT ON INFORMATION SYSTEMS  
d. Big Data and predictive analytics: The ability to process massive  
volumes of data in real time to correlate seemingly disparate events that,  
together, indicate a complex security breach.  
e. Blockchain for integrity: The use of distributed ledgers to ensure  
data non-repudiation and secure supply chains.  
Main effect:  
Security has become a business and national security function, not  
just an IT department task.  
Technological convergence is transforming defense strategies from a  
reactive and fragmented model to a proactive and unified one. The main  
changes in companies' defense strategies are aimed at9:  
a. Unifying physical and cyber security  
Companies are moving away from managing the two domains  
separately to eliminate interdependent vulnerabilities.  
• Integrated alarm systems: Using IoT sensors and cloud-based  
access control to create a shared digital-physical shield.  
• Cross-functional teams: Creating common command structures  
between IT and physical security departments to respond to incidents in a  
coordinated manner.  
• Efficiency through synergy: Reducing costs by eliminating  
redundant investments in equipment that can serve both domains (e.g., AI-  
enabled security cameras and IT data streams).  
b. From perimeter to zero trust  
The traditional model is considered obsolete in 2026 due to hybrid  
work and the cloud.  
• Continuous verification: The strategy assumes that no user or  
device (internal or external) is inherently trusted.  
• Micro-segmentation: The network is divided into small segments to  
prevent attackers from moving laterally within the system.  
c. AI based defence  
As attackers use AI to automate breach control, companies are  
adopting autonomous defense strategies.  
• Real-time anomaly detection: Machine learning algorithms analyze  
user behavior to identify subtle attacks before they cause damage.  
• Automated response: Automate counter-attack actions to instantly  
block suspicious IP addresses or isolate compromised accounts.  
d. Supply chain resilience  
Strategies now extend beyond the company itself to suppliers and  
partners.  
9
Quentin Hodgson, Susan Gates, Getting the Fundamentals of Cyberspace Force  
Readiness Right, Rand Corporation, Santa Monica, USA, 2025.  
74  
 
Colonel (ret) Professor Gruia TIMOFTE, Ph.D  
• Third-party monitoring: Constantly auditing the security posture of  
software and cloud service providers to prevent springboard attacks.  
e. Compliance-driven strategy  
Security has become a business pillar imposed by increasingly  
stringent regulations.  
• Standardization: Adopting standardized protocols to ensure  
interoperability of defense systems at the regional and global levels.  
4.  
DEVELOPMENT  
OF  
NEW  
DATA-CENTRIC  
COMMUNICATIONS AND COMPUTER SYSTEMS  
Convergence of new data-centric communications and computing  
systems10  
represents  
the  
fusion  
of  
high-performance  
computing  
infrastructures, storage technologies and advanced networks, with the aim of  
efficiently processing very large volumes of data (Big Data) directly at the  
source or in its proximity. This integration transforms traditional  
architectures, putting data and its utility at the center of technological  
development.  
The essential elements of the paradigm shift include:  
Shift from traditional to modern security: The traditional paradigm,  
based on realism and border defense, is being replaced by non-traditional  
approaches that include cyber, economic and ecological security.  
• Socio-ecological security: Emphasis is placed on transnational  
threats, such as climate change, biodiversity loss and food/water insecurity,  
the need for an integrated approach.  
• Data-centric cybersecurity: New digital paradigms focus on  
protecting data and users as opposed to old models focused only on the  
network perimeter.  
• Cooperative European Security - new approach in Europe, based  
on cooperation, resilience and strategic security.  
• Human security - focusing on the well-being of individuals and  
their safety, not just on state security.  
This change is triggered by the complexity of new threats, which can  
no longer be managed solely through military force, but require an  
integrated approach and a better understanding of interconnected risks.  
The main aspects of the convergence of these systems are11:  
• Internet of Things and Edge Computing: IoT enables the  
connection of billions of devices, transforming from a connectivity  
technology into a connectivity paradigm that generates enormous volumes  
10  
Mrs. N. Gayathri, Computer Communications and Networks, The American College,  
Mumbai, India, 2021.  
11  
Alexandra Zabala-Lopez, Sonia Haiduc, Data-centric technologies supporting decision-  
making, Defence Technology, No. 43, 2024, pp. 226-246.  
75  
   
NEW SECURITY PARADIGMS AND THEIR IMPACT ON INFORMATION SYSTEMS  
of data. Convergence with Edge Computing allows this data to be processed  
locally, reducing latency and bandwidth requirements.  
• Artificial Intelligence and Big Data: AI is at the heart of digital  
transformation, analyzing collected data to extract relevant information,  
with applications in various fields, from e-government to the private sector.  
• Communications and Information Systems (C4ISR): In critical  
areas, such as military or security, a fusion between command, control,  
communications, computers, intelligence, surveillance and reconnaissance  
(C4ISR) systems is observed. This ensures rapid processing of information  
in crisis situations or electronic warfare.  
• Digital Transformation and e-Government: The implementation of  
Big Data systems and cybersecurity solutions in public administration and  
the private sector improves document management and archiving.  
• Resource Management and Quality of Service: New data-centric  
systems integrate quality of service control algorithms to efficiently manage  
IT resources in modern networks. This convergence leads to an information  
society based on the intensive use of information, decisively influencing  
economic and social activities.  
The convergence of communications and computing systems into a  
data-centric model represents the transition from traditional networks, where  
the emphasis was on connecting devices, to an infrastructure where the  
priority is efficient and secure access to information, regardless of the  
physical location of the resources.  
The main pillars of this convergence are:  
a. Evolution towards Data Distribution Service (DDS)  
Unlike classic client-server models, modern systems use standards  
that offer a "publish-subscribe" model.  
• Decoupling: Communication is decoupled in time and space  
because applications do not need to know where the other components are  
located.  
• Global Data Space: Creates a shared virtual data space, facilitating  
interoperability in complex environments such as Industrial IoT.  
b. Cloud-Edge-IoT Integration  
Convergence involves eliminating barriers between local and  
centralized processing:  
• Edge Computing: Data processing moves closer to the source  
(sensors, mobile devices) to reduce latency.  
• Coherent Infrastructures: At the government and industrial level,  
the aim is to create integrated digital infrastructures that ensure the flow of  
data between different institutions or departments.  
c. The Impact of Big Data and AI Technologies  
Data-centric systems transport data and analyze it in real time.  
76  
Colonel (ret) Professor Gruia TIMOFTE, Ph.D  
• Operational Efficiency: The use of Big Data systems allows for  
increased efficiency of public and private services through predictive  
analysis.  
• Intelligent Maintenance: The integration of AI allows for real-time  
monitoring of complex resources.  
d. Security in the New Model  
In a data-centric system, security moves from the central level to the  
component elements.  
Zero Trust: Access is constantly verified, regardless of whether the  
request comes from inside or outside the network.  
• European Standards: Digital transformation strategies, such as  
those implemented in some urban centers, emphasize the cyber resilience of  
these converged systems.  
In the military field, the transition to data-centric systems marks the  
shift from "Network-Centric Warfare", where the emphasis was on the  
physical connection between platforms, to an architecture in which data is  
treated as a strategic asset independent of the network or application that  
generated it.  
This evolution is essential for modern concepts such as JADC2  
(Joint All-Domain Command and Control), used by NATO forces to ensure  
"decisional advantage" over adversaries.  
Characteristics of Data-Centric Military Systems12:  
Modern systems must comply with the principles established by the  
US Department of Defense and adopted as a reference within NATO, which  
specify the requirements imposed on data.  
Essential Components and Technologies (2024-2026):  
1. Internet of Military Things (IoMT): A network of sensors worn by  
soldiers, autonomous vehicles and equipment that communicate in real time.  
2. Artificial Intelligence and Big Data: Algorithms that process huge  
volumes of information (satellite images, intercepts) to provide necessary  
elements of action and predictive maintenance.  
3. Digital Twins: The use of virtual replicas of the battlefield to test  
tactical scenarios without human risks.  
4. Edge Computing & Cloud Hybrid: Processing data directly on the  
battlefield to reduce latency, followed by synchronization with strategic data  
centers.  
5. Zero Trust Security: Every request for data access is rigorously  
verified, eliminating the idea of an implicit "secure internal network".  
The Operational Advantages are:  
12  
Teamraft, Data Platforms for a Data-Centric Force, Whitepaper, Reston, USA, 2026, p.  
30.  
77  
 
NEW SECURITY PARADIGMS AND THEIR IMPACT ON INFORMATION SYSTEMS  
• Elimination of information silos: Data from artillery, intelligence  
and logistics are integrated into a common operational picture.  
• Speed of reaction: Shortening the OODA (Observe-Orient-  
Decision-Action) cycle, allowing commanders to make decisions faster than  
the adversary.  
• Interoperability between Allies: Allows multinational forces (e.g.  
within NATO) to collaborate effectively by using specific standards.  
5. CONCLUSIONS  
The article addresses some particularly important issues for  
command and communications structures in the process of transitioning to  
the new regulations regarding the implementation of the data-centric  
concept in which the primary elements are ‘data’. Thus, the collection,  
processing and presentation of data is carried out in cloud computing centers  
and stored in databases. The beneficiaries of this data have data access  
rights (symbols of 1 – signal with current, 0 signal null), depending on the  
role performed within the staff or unit, using specific applications.  
The transition from classic information systems to data systems  
represents efforts to equip with technical means and specialized software  
products, training of all personnel with access procedures, use, security,  
resilience, interoperability, etc.  
The preparation process for the new data-centric system must begin  
in educational institutions, military units, national training improvement  
centers and NATO and EU centers, etc.  
BIBLIOGRAPHY  
ALEXANDRU C., Schimbarea paradigmelor in mediul internațional de  
securitate, Intelligence Info No.3, vol. 2, 2023;  
BARNA C., NICULA V., Security Paradigms in the 21st Century, RISR,  
No. 23, Bucharest, 2020;  
GABOR G., Caracteristici ale paradigmelor de Securitate în secolul XXI,  
Bucharest, 2014;  
GANNON J., Telecom Systems Integration, University of Phoenix, USA,  
2024;  
GAYATHRI N., Computer Communications and Networks, The American  
College, Mumbai, India, 2021;  
HODGSON Q., GATES S., Getting the Fundamentals of Cyberspace Force  
Readiness Right, Rand Corporation, Santa Monica, USA, 2025;  
78  
Colonel (ret) Professor Gruia TIMOFTE, Ph.D  
MESSERSCHMITT D., The Prospects of Computing Communications  
Convergence, Munich, Germany, 2007;  
SINGER P., FRIEDMAN A., Cybersecurity and Cyberwar, Oxford  
University Press, 2014;  
ZABALA-LOPEZ A., HAIDUC S., Data-centric technologies supporting  
decision-making, Defence Technology, No. 43, 2024;  
Teamraft, Data Platforms for a Data-Centric Force, Whitepaper, Reston,  
USA, 2026;  
McKinsey & Company, The Industry 4.0, the Fourth Industrial Revolution,  
and 4IR, First programmable controller (based automation),  
2014;  
*** US Congressional Research Service, The Army’ Project Convergence,  
Washington, DC, 2022;  
79