Cybersecurity in 2024: a dive into an evolving landscape
The year 2024 has been a time of revolutionary transformations in the technology industry, as the security sector takes a leap forward with the implementation of generative AI and large language models (LLM) in applications of security. These cutting-edge innovations not only improve analysis accuracy, but also reduce bandwidth and processing requirements, thereby improving system reliability.
Scalable cloud solutions and hybrid architectures
Emerging technologies enable the development of more scalable cloud solutions. New-age safety applications are expected to help operators interpret scenes more effectively and provide interactive customer support with actionable responses. The standard for security solutions is now hybrid architectures, which combine on-premises, cloud and edge technologies. This combination provides flexibility and meets customer needs while optimizing AI support and automation of management and operations.
Security and safety: a clear distinction
The distinction between security and safety has become more explicit. While security addresses intentional acts like vandalism, security addresses unintentional dangers such as environmental disasters. Video surveillance and analytics are increasingly used for early warning and response to extreme weather events. They also help ensure compliance with health and safety policies within organizations.
A total system perspective
The industry is moving toward a total system perspective, which includes not only total cost of ownership (TCO), but also total impact of ownership. This encompasses environmental and societal factors, promoting transparency and accountability in the security sector. Innovations driven by this perspective include cameras that reduce bitrate and server load, sustainable practices, and supply chain visibility.
Cybersecurity in 2024: A Closer Look
The cybersecurity landscape in 2024 has evolved significantly. It’s not just about responding to threats; it’s about staying informed and proactive. The year saw a shift toward cost-effective cybersecurity solutions, corporate consolidation, a renewed interest in best-of-breed solutions, and the acquisition of smaller SaaS startups by larger tech companies. With the rise of generative AI, organizations face new challenges in developing skills and systems to mitigate risks and strengthen cyber defenses. AI and intelligent automation drive productivity, but also lead to security compromises.
Anticipate cyber threats
As we move forward into 2024, cybersecurity threats are expected to include tactics such as phishing attempts, DDoS attacks, public site scanning, vulnerability exploitation, suspected voter registration data leaks and ransomware. Election officials can expect cyberthreat actors to use generative AI technologies to enhance phishing attempts and campaigns targeting U.S. elections. Deploying advanced language models such as ChatGPT requires careful attention to potential risks. Also worth noting is the rise of hacktivism during major global events and the challenges facing the cybersecurity insurance market for election system providers.
