Cybersecurity Dynamics With the constant advancement of artificial intelligence and quantum computing, 2024 is poised for significant changes as organizations increasingly adopt and transform using these innovative technologies.
However, this technological advancement has been accompanied by increased sophisticated cyber threats. Attackers’ malicious use of generative artificial intelligence (or gene AI) is a significant concern. Enterprises today face many complex challenges: an increase in ransomware attacks, the rise of state-sponsored cyber espionage, and the growing challenge of securing the ever-expanding Internet of Things (IoT).
At the same time, misuse of this technology is leading to the development of more advanced passive surveillance malware that targets specific systems, software, and vulnerabilities.
Additionally, integrating artificial intelligence into cyberattacks will simplify these operations, reduce costs, and lead to more sophisticated phishing and disinformation campaigns Cybersecurity Dynamics.
“Cybercriminals and government actors are already taking advantage of generative artificial intelligence to create phishing campaigns, write malicious code, or identify weak systems to exploit,” said Mihoko Matsubara, chief cybersecurity planner at IT services and consulting firm NTT.
The Downside of AI in Cyber Defense
However, AI will influence cybersecurity strategies and technologies through attractive detection and analysis capabilities. The result will improve defensive responses to disinformation, phishing, malware, and abnormal behavior. It will also pave the way for mechanical and efficient security operations that address workforce concerns.
Cybersecurity experts also note that generative artificial intelligence helps automate tasks, data analysis, and vulnerability research. For example, a study by NTT Security Holdings found that generative AI provides the most incredible efficiency and accuracy for quickly identifying phishing sites, Matsubara suggested.
Gen AI opens the door to bringing offensive tools to more emerging threat performers, added Nicole Carignan, vice president of strategic cyber AI at Darktrace. These tools will only be as effective as those teaching them.
In the long term, he envisions using offensive AI throughout the entire attack lifecycle. This could include using natural language processing or large-scale language models to understand written language and create contextual targeted phishing emails.
Alternatively, image classification can facilitate the theft of sensitive documents when the environment is compromised and attackers seek valuable materials.
“AI will allow machines to carry out unique attacks on a large scale – always on, constantly changing the speed of the machine,” Carignan told TechNewsWorld.
Key trends towards improving the security situation
By 2024, artificial intelligence promises to influence both the behavior of cybercriminals and cybersecurity strategies.
NTT cyber experts see four other significant trends that will have far-reaching insinuations for the security landscape this year and beyond Cybersecurity Dynamics.
Maintaining confidence in the election results will be an essential factor, NTT Chief Information Security Officer David Beab said.
The ability to manually review and record results to resolve questionable issues will be necessary in the United States.
“This shift toward reliability and verification of results is expected to become more pronounced in 2024,” he told TechNewsWorld.
The second prediction for improving cybersecurity is the implementation of a zero-trust framework. The security landscape is becoming increasingly cloud-centric, highlighting the need for advanced authentication methods to combat emerging threats, such as avoiding MFA through techniques such as the JSON Web Tokens (JWT) attack.
As a result, Zero Trust will go from being a hot trend to being implemented across many parts of organizations to improve security Cybersecurity Dynamics.
“Zero trust is no longer a buzzword, but a fundamental concept that organizations will implement to improve their cybersecurity measures,” Taro Hashimoto, a CSIS visiting fellow and senior manager of cybersecurity at NTT, told TechNewsWorld.
Quantum Ready by 2024
NTT’s third cybersecurity forecast for 2024 focuses on the looming quantum threat. Hackers and attackers are unlikely to see widespread adoption of the nascent quantum technology in the new year. However, it is necessary to prepare for his arrival.
Steps are already being taken: The White House has issued a note directing federal agencies to prepare and NIST to publish draft versions of some potential post-quantum cryptography (PQC) algorithms Cybersecurity Dynamics.
Due to the long time it takes to migrate systems, by 2024, we will see a further focus on preparing systems and applications to embrace quantum computing, given to Kazuhiro Gomi, president, and CEO of NTT Research.
“While the timing of threats posed by accessible quantum computers is still notional, the need to prepare for this threat is real,” he expressed TechNewsWorld.
The challenge is to manage the security of encryption for those who do not have access to the volume’s capabilities. It’s also essential to plan to defend against those with such capabilities once they become more common, Gomi added.
Development of cryptography and encryption Cybersecurity Dynamics
In 2024, cyber researchers expect cryptography and encryption research to continue exploring new ways to protect data in storage and the cloud.
The evolution of advanced encryption systems, such as attribute-based encryption (ABE), offers intriguing prospects for real-world implementation.
However, privacy concerns remain due to the lack of specific privacy when interacting with AI models. Researchers may explore including private interactions in such models because these interactions may involve more sensitive information than regular search queries.
A potential area of interest for the entire cryptography research community is expanding private search queries to cover private interactions with artificial intelligence systems, said Brent Waters, director of the Cryptography and Information Security (CIS) Lab at NTT Research.
“The rapid growth and use of large language models such as ChatGPT have revolutionized various industries. However, privacy concerns may limit the potential of these technologies.
I think the research community will explore the possibility of private interaction with these artificial intelligence technologies. ” he told TechNewsWorld.
Impact of AI on Cybersecurity Dynamics
AI can already have a positive impact on the cybersecurity space beyond simply automating tasks. From intelligent reply automation to behavioral analysis and ordering vulnerability remediation.
AI is already adding value to cybersecurity, said Piyush Pandey, CEO of ERP security company Pathlock.
“As AI automates more cybersecurity tasks, the role of cybersecurity professionals will change from becoming a commodity.
Talented cybersecurity professionals with a growth mindset will become increasingly important as they provide actionable insights to guide the adoption of artificial intelligence within a company,” he told TechNewsWorld.
The advent of the AI generation is creating an arms race among companies.
Governments, and cyber criminals on a scale not unlike the atomic age, Pandey said, referring to the film Oppenheimer.
He believes growing announcements about the role of.
AI in security solutions are a harbinger of its accelerated use in email security next year.
“Probably as quickly as cloud security solutions have distorted cybersecurity systems during the pandemic,”
He predicted, highlighting the potential for rapid development in this area.
