Page 42 - Security Today, March/April 2025

E M E R G I N G T E C H N O L O G I E S
“Another factor driving this shift is
that many companies have already
been integrating business intelligence
(BI) platforms and AI algorithms to
analyze their structured data.”
Patrik Pettersson: I agree that the three biggest accelerations
in the security space are AI, cloud, and their cybersecurity. AI
requires high-quality data, and to obtain that, you need top tier
cameras. Together, cameras and data are essential for AI devel-
opment. Beyond quality imagery, today’s advanced AI-enabled
cameras process data at the edge, providing real-time analysis.
They can detect and act, sending only relevant metadata to the
cloud, reducing data transfer, optimizing bandwidth and lower-
ing costs. This approach accelerates cloud processing, supports
effi cient storage, and enhances applications like security monitor-
ing and data analytics by focusing on key events.
The rise of the cloud is driven by the demand for connectivity
and the assurance that systems are always online. Connectivity
can improve services and facilitate system management. Integra-
tors seek to deliver managed services, while users want confi dence
that their systems are up and running. Cybersecurity underpins
both AI and cloud connectivity, ensuring systems run securely
and information remains safe.
Trinh: Another impact of cloud in this emerging tech market
is the accessibility it brings—providing customers with easier ac-
4 2 TonikTech/stock.adobe.com
cess to high-end, high-powered technology. The combination of
AI-enabled cameras, built on open architecture, and cloud-based
functionality offers fl exibility and scalability—allowing business-
es to adapt as their needs evolve. This approach enables compa-
nies to start small and scale seamlessly.
YOU BOTH MENTIONED SOME OF THE
SYNERGIES BETWEEN AI, CLOUD AND
SECURITY. WHAT ELSE IS DRIVING THIS
TREND TOWARD TECHNOLOGY INNOVATION?
Pettersson: It is no longer our industry proposing technology to
the end user—it is the end user and operator coming to us with
expectations. This is because today’s consumer technologies work
in a friendly way for overly complex things. Accordingly, tech-
savvy users have advanced requests, and they expect all technol-
ogy to be as easy to work with as consumer technology, but – in
the security industry – an emphasis on safety, reliability and man-
aging risks is paramount.
Trinh: Thanks to innovations like ChatGPT, advanced AI is
now more mainstream. Additionally, since many open-source
models from the consumer industry have relied on the cloud
and the Internet, the architecture has been proven using publicly
available data. The relevance to the security industry lies in the
fact that we manage vast amounts of confi dential data that have
yet to be tapped into. The infrastructure behind these new AI ad-
vancements, particularly large language models, is well-suited for
companies, solution providers and developers in our sector. With
proper controls in place, they can leverage these technologies to
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