AI EdgeLabs reinvents cybersecurity for oil and gas with edge AI at the core

AI EdgeLabs’ mission is in revolutionizing cybersecurity for distributed IT/Edge environments and workloads by providing autonomous cyber AI, automation in response and agility that allows us to deploy, scale and manage security in a very easy and efficient way. 

“And we have done a lot for that, by meeting our most crucial SLAs with a containerized solution that can be deployed to thousands of mission critical assets in a matter of minutes, without any policy enforcement and with immediate outputs, and combining NDR, EDR, vulnerability management and container/Kubernetes security in one single AI agent which digests 4% of CPU or 0.5% of vCPU in runtime, and that is very unique and compelling.”

Identifying gaps in cybersecurity

In brief, Ushakova describes the founding of AI EdgeLabs as a response to critical gaps in traditional cybersecurity systems.

“Unlike cloud-dependent and hardware-dependent solutions AI EdgeLabs is autonomous and provides local AI inference at the agent level, ensuring real-time protection without sending client data to third-party clouds. It’s lightweight and won’t disrupt other device workloads. Our solution is uniquely designed to handle threats at multiple layers, providing end-to-end defense, especially important for mission-critical and low-latency computing infrastructure and applications, no matter whether there is any connectivity or some bandwidth limitations” Inna adds. 

AI EdgeLabs provides functionality that is powered by a combination of neural networks and reinforcement learning algorithms that are compressed to run at the agent level and provide automated detection and response on-device, chip level or at the instance itself without sending data elsewhere for data processing. The agents are containerized and easy to deploy and manage.

The company’s tools are particularly effective for Linux-based environments, protecting private cloud instances, edge devices, and industrial systems where operational technology (OT) converges with information technology (IT). “Our approach provides end-to-end defense in low-latency and mission-critical environments,” Ushakova adds.

Cybersecurity trends in the oil and gas sector

One area where AI EdgeLabs is making strides is the oil and gas industry, a sector increasingly targeted by sophisticated cyberattacks.

Ushakova says that digital transformation and IIoT have both enhanced operational capabilities and introduced new cybersecurity challenges in the oil and gas sector. Addressing these challenges requires a multifaceted approach that includes advanced technologies, stringent regulatory compliance, and robust integration of IT and OT security measures.

She also highlights the 2021 Colonial Pipeline ransomware attack as a wake-up call for the industry. “Real-time monitoring and response is a must-have now, and passive scanning and security is not enough anymore,” she asserts.

The rise of IIoT further complicates cybersecurity strategies. She explains that IIoT expands the attack surface by interconnecting previously isolated systems, which requires robust measures to secure data in transit and protect against vulnerabilities in both IT and OT environments.

“The majority of companies are still governed by the notion that cybersecurity is an expense to stay compliant. Such a statement impacts the decision making and very often leads to the wrong selection for what is good enough, sacrificing what is required to stay resilient tomorrow,” she says.

“The paradigm of data processing and management is shifting, we are moving to the edge of real-time distributed ecosystems that require a separate unique approach for security. A firewall and asset inventory management are not enough for security. You need to focus on the internal perimeter, bringing security closer to the data source. It should be scalable, advanced, autonomous, and proactive.”

Expanding to Multiple Industries

While AI EdgeLabs is driving change in the oil and gas sector, its solutions extend far beyond. The company also empowers industries such as Smart Cities, Energy, Transportation & Logistics, Telco, Gaming, eCommerce, and Retail with its cutting-edge cybersecurity solutions.

Navigating emerging threats

Tackling emerging cybersecurity challenges, from nation-state-backed APTs to deepfake-driven disinformation campaigns is on the agenda for AI EdgeLabs.

“The oil and gas sector is a strategic target in geopolitical conflicts. Nation-state actors may launch cyberattacks to disrupt energy supplies, cause economic instability, or gain a tactical advantage,” continues.

“Companies need to be prepared for the increased cyber threat landscape during times of geopolitical tension​​.”

Ushakova also emphasizes the importance of supply chain security. As industries digitize, vulnerabilities in third-party systems can become entry points for attackers. As a result, Inna Ushakova maintains that a robust, integrated approach to cybersecurity is non-negotiable.

AI EdgeLabs plans to continue focusing on distributed IT/Edge resource-constrained environments and leveraging AI-driven automation. In a nutshell, the company is redefining how organizations secure their infrastructures in an era of rapid digital transformation.

“We are partners to many companies in the industry. Right now we are working on a confidential project, where the major goal is to provide a cyber-resilient, redundant and autonomous information computing unit that can be used by key players to ensure their IPs are protected in real-time and at multi-layers with unique military grade resistance capabilities” Inna adds. 

Article Topics

AI EdgeLabs  |  cybersecurity  |  edge AI  |  edge infrastructure  |  edge security  |  IIoT  |  oil and gas  |  smart cities