As the adoption of artificial intelligence continues to rise in different organizations, the trend is also leading to the deployment of private AI environments and large language models to boost productivity and innovation. However, the adoption of AI is also leading to a number of security risks, and in a bid to curb this, a leading organization in the field of cybersecurity, Fortinet, has developed a solution called FortiAIGate, which is used in the protection and optimization of AI workloads.
Growing AI Adoption Is Outpacing Security Controls
Artificial intelligence is significantly changing the way modern enterprises run their operations, and this is affecting everything from software development and research to customer interaction and workflow automation. However, as modern enterprises increasingly integrate LLMs into their daily operations, they are facing new security risks that were not previously addressed by their existing security systems.
Most modern enterprises usually first test AI technology through pilot projects, but as they take their AI systems into production, they face complex security risks. Modern enterprises must therefore develop governance, runtime, and policy mechanisms to deal with emerging security risks, which include prompt injection attacks, model manipulation, and data exposure.
Traditional security mechanisms, which include firewalls and web application firewalls, usually focus on network traffic and application requests, respectively. However, they usually have difficulty dealing with dynamic, conversational, and natural language-based interactions, which is what AI technology is all about, and this is exposing modern enterprises to new security risks, which can compromise their data and operations.
Addressing Complexity in AI Architecture
As the AI systems are integrated into the enterprises, new layers of infrastructure are added, making the security visibility an extremely challenging issue. As the data is transferred between the applications, users, and LLMs, the complex nature of the AI systems can leave room for the adversaries to take advantage of the situation.
Security solutions must be implemented that have the capability to monitor the AI systems in real-time, ensuring that the systems have the power to support the AI systems. If the security solutions fail to achieve this, the organization would be at risk of falling behind the adversaries, who are actively working on new AI-based exploitation techniques.
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FortiAIGate: A Purpose-Built Security Layer for AI
FortiAIGate is intended to be used as a specialized gateway that connects enterprise applications with AI models. Through its ability to monitor all requests and responses in real time, the platform enables organizations to implement security policies, analyze patterns, and implement protective guardrails that ensure safe usage of AI models.
The platform has the ability to detect suspicious activities, including the extraction of sensitive information, manipulation, or unauthorized use of system resources. Through real-time inspection, FortiAIGate ensures that organizations are compliant with regulations while at the same time allowing the safe usage of AI models.
FortiAIGate is part of a larger architecture provided by Fortinet, known as the Secure AI Data Center, which brings together a number of elements, including network security, application security, and AI governance, within a single architecture that is appropriate for the modern enterprise.
Key AI Threats Targeting Large Language Models
As enterprises expand their use of LLMs across business workflows, their attack surface grows significantly. Cybersecurity teams must now defend against a new category of AI-specific threats that are difficult to detect using traditional tools.
FortiAIGate is designed to mitigate risks such as:
- Prompt injections: Manipulative inputs designed to force AI models to perform unintended tasks
- Jailbreaking: Attempts to bypass built-in safeguards within AI systems
- Model poisoning: Tampering with training data or algorithms to degrade model accuracy or introduce bias
- Data exfiltration: Efforts to extract sensitive information from model interactions
- Excessive resource consumption: Malicious or inefficient queries that increase compute costs and strain GPU resources
Considering the evolution of AI, new techniques are being devised by attackers to exploit the loopholes created in LLMs and the overall AI infrastructure. Therefore, it is imperative that the security measures evolve along with the evolution of AI, so that innovation does not compromise security.
With the ability to provide runtime visibility, AI traffic inspection, and policy enforcement, FortiAIGate brings a new level of security protection that is purpose-built for the AI ecosystem. This, along with the overall security architecture provided by Fortinet, enables organizations to protect their AI assets, data, and infrastructure while continuing to innovate and push the boundaries of innovation.
Key benefits include:
- Reduced AI risk exposure: Policy-based controls govern how models interact with users and data, minimizing the risk of misuse or data leakage.
- Accelerated AI deployment: Built-in security enables organizations to scale AI initiatives more confidently without introducing operational complexity.
- Optimized cost management: Monitoring and controlling resource-intensive queries helps prevent unnecessary compute usage and protects infrastructure budgets.
These capabilities allow organizations to deploy AI responsibly while maintaining the operational performance required for modern digital transformation initiatives.
Strengthening AI Security for the Future
With the evolution of AI, the hackers are also evolving their techniques to exploit the loopholes in the LLMs and AI infrastructure. Thus, the security strategies need to evolve with the evolution of AI, ensuring that the innovation is not at the cost of security.
With the ability to provide runtime visibility, AI traffic inspection, and policy enforcement, FortiAIGate brings a new layer of security protection that is designed for the AI ecosystem. This, combined with the overall security architecture provided by Fortinet, helps enterprises secure their AI assets, data, and infrastructure while continuing to innovate and push the boundaries of innovation.