Seventy-five per cent of the data generation and processing will happen outside the traditional confines of data centres or the cloud, inviting cyber vulnerabilities and the need for effective cybersecurity protocols.
Generative AI and complex LLM codes in edge-computing environments have opened the doors wide open for attackers. They have become even smarter when it comes to gaining unauthorised access to systems, no matter if these systems have been incorporated within or outside the cloud environment.
However, the future of cybersecurity is clear: Businesses need to utilise advanced technologies to fight against data breaches.
Security leaders from F5 Labs and Genetec have predicted top security trends for this year.
What is the forecast on Generative AI assaults impacting Organisations?
Fake Accounts Will Soar
AI-based fake accounts containing human-like posts and images have a huge potential to rise in 2024. This will extend an olive branch for various fraudulent activities like credential stuffing, disinformation, and marketplace manipulation.
Dissemination of Fake Content will Escalate
With generative AI tools having the potential to manipulate and disseminate false information, the avenue for fake content creation will grow. For example, automated text will be generated for targeted misinformation campaigns.
Hacktivism will grow
Hacktivist activities with unsophisticated actors utilising AI tools won’t be a hard nut to crack in the upcoming days. Events like the Olympics and elections will be an opportunity for hacktivists to target loosely affiliated organisations.
Web attacks will leverage the capabilities of Real-time Inputs
Utilising the capabilities of APIs, or developing their own LLMs, attackers will seamlessly integrate AI-system-enabled ideas in near real-time. It will allow them to react proactively to the defences they encounter during live attacks.
LLMs will be tricked
According to fresh research, the training data of the LLMs can be misconfigured due to spectacular failures of AI-driven tools. Consequently, it will lead to data leaks due to unauthorised access leading to Denial of Service (DOS) attacks.
LLMs will create complex and vulnerable codes
A lot of seasoned and budding developers leverage generative AI to write codes or check bugs, inviting vulnerable codes with no time to review. It increases the chances of inevitable risks as the fix-once approach used in the LLM model isn’t trained to address the latest vulnerabilities.
How will the cyber vulnerabilities impact the edge and cloud architectures?
After revealing the potential risks associated with Generative AI advancements, FB Labs forecasted increased attack surfaces on various IT environments. Enlisted below are a few of them:
Edge systems will be a soft spot for attackers
Seventy-five per cent of enterprise data will be generated and processed outside the traditional confines of data centres or the cloud, inviting physical tampering and software and API vulnerabilities. This paradigm shift will risk sensitive information in edge systems.
Live-of-the-land attacks will upswing
Attackers will increasingly switch to living-off-the-land (LOTL) techniques, negatively impacting the cloud and hybrid architectures that are difficult to monitor and detect. In worst-case scenarios, LOTL attacks will be incorporated into the supply chain operations, compromising critical infrastructure that leads to disruption.
Where does the need for incorporating a cybersecurity poverty matrix lie?
In this ever-changing IoT world where data compliance is at risk, enters a need for establishing a security poverty line. It has become essential to follow bare minimum security protocols.
For instance, organisations need to orchestrate various security measures for incident response, such as integration of vulnerability management tools, threat intelligence services, etc.
Unveiling the Predictions On Cybersecurity Paving Ways in 2024
As the generative-AI-enabled thefts and risks to complex LLM increase, defence mechanisms against them aren’t behind the race. Physical security solutions with embedded analytics will seize the spot for fighting against data breaches. Entailing are the combined predictions:
IT and physical security teams are on the verge of becoming more unified
Organisations will optimise collaboration between IT and physical security teams, further ensuring effective risk mitigation and data control. Besides that, the need for cloud-connected physical security solutions will accelerate with the expanding cross-departmental collaboration. It will give a unified and comprehensive overview of the changing threats to the data team within organisations, enabling them to use data efficiently.
Demand for hybrid Cloud solutions will foresee a surge
Access-control modernisation will become immensely popular in the list of top tech investments, encouraging tech ventures to shift to a hybrid-cloud model. It will enable them to regulate the security protocols and the nature of the data being handled.
Ever-increasing Demand for Open-Access Control Solutions
The demand for open-access control solutions will rise, enabling businesses to integrate flexible technologies. Being readily available in the marketplace, these technologies will include management systems for life and safety solutions, mobile credentials, etc.
Space for physical security solutions and IIoT devices will foresee a surge
The market will also see a growing demand for physical security devices and Industrial Internet of Things (IIoT) sensors. Industries will rapidly adopt these technologies to increase the data diversity in their security deployments, reducing silos between systems and valuable insights.
Wrapping it up, malicious actors are leveraging a cornucopia of technologies to gain unauthorised access to sensitive data, and this will continue to increase, making robust security protocols in both physical and cloud environments a top priority.
