Get Started
Contact Us
Resources
Artificial Intelligence (AI) is rapidly transforming the cybersecurity landscape with advanced threat detection and automated responses, capabilities that were previously only available to organizations with large budgets. At the same time, it has democratized advanced phishing and malware capabilities once available only to highly sophisticated threat actors.
There is a global shortage of over 4 million cybersecurity professionals, making it difficult to keep pace with the rapidly increasing volume of cyber threats without adopting this technology. While this technology introduces notable challenges, it also offers unprecedented opportunities for enhancing cybersecurity defenses. More than a third of all enterprise organizations use AI tools today and that number is expected to rise above 75% in the near future. As of 2025, there are approximately 90,900 artificial intelligence (AI) companies operating globally. According to research by the IDC every dollar spent on AI solutions and services will generate 5x resulting in a cumulative global economic impact of $22.3 trillion by 2030. By these estimates, global investment in AI will reach 4.5 trillion in five years. This growth encompasses significant investments in AI implementation, including the development of infrastructure, software solutions, and services essential for integrating AI technologies across various industries.
Despite substantial investments in AI software applications, where implementation costs pose a significant barrier to entry, the development of supporting infrastructure (including hardware and services) has not kept pace. This lag can primarily be attributed to three main factors:
For organizations to confidently invest in AI infrastructure, robust and secure platforms are essential. In 2024, IBM released a report on the financial impact of data breaches, revealing that the average cost rose by 10% from the previous year to $4.88 million underscoring the growing disruption and financial strain such incidents place on organizations. Client trust in AI infrastructure will depend on the organization’s cybersecurity, transparency, and adherence to ethical standards. Platforms that ensure data ecosystems can securely process and deliver complex information--thereby fostering trust and facilitating broader AI integration across various industries--are non-negotiable.
The Double-Edged Sword of AI in Cybersecurity
The incorporation of AI into cybersecurity has created a new digital arms race. AI empowers security professionals with advanced tools to detect and prevent cyberattacks. Malicious actors harness the same technology to orchestrate more sophisticated and rapid breaches. They launched 192 malware attacks every second in 2023, amounting to a 6.06 billion attacks per year. This dynamic sets the stage for an ongoing battle to dominate the digital frontier.
AI-Driven Threats: A New Era of Cyber Attacks
Historically, cybercriminals invested significant time and effort into researching targets and exploiting vulnerabilities. AI-generated malware represents a particularly insidious threat, capable of learning from existing security systems and adapting its code in near real-time to bypass defenses. The speed that malware adapts to evade detection poses unprecedented challenges for traditional security measures. AI has democratized this process by automating attacks, enabling relentless scanning and exploitation of weaknesses around the clock by lowering the opportunity costs associated. It has never been cheaper to identify and exploit the security of others.
AI enhances social engineering tactics. Cybercriminals can now generate highly convincing phishing emails, deepfake videos, and text messages, crafting personalized scams that adapt based on victim responses. The capacity to mimic trusted individuals undermines traditional security measures, such as two-factor authentication, and complicates the detection of fraudulent activities.
Harnessing AI for Cyber Defense – the AI Arms Race with Cyber Criminals
To defend against these threats, learning models within AI systems can continuously analyze events, identifying emerging threats and adapting defenses accordingly. These systems provide real-time analysis to offer insights, suggesting solutions, and even assisting in developing new security protocols for security teams. This represents a generational leap cybersecurity as AI collaborates with professionals to enhance the overall effectiveness of cybersecurity strategies for organizations of all sizes.
According to the Financial Times, the British engineering firm Arup reportedly lost around $25 million after fraudsters used AI-generated deepfake technology to impersonate the company’s CFO. The scammers deceived an employee into authorizing a series of fund transfers to bank accounts in Hong Kong. In combating sophisticated threats like deepfakes, AI excels by detecting subtle patterns and inconsistencies imperceptible to the human eye. This precision makes spoofing attempts significantly more challenging for cybercriminals.
AI also revolutionizes secure endpoint management. Its learning algorithms facilitate continuous improvement of system protections, enabling frequent and efficient security updates, supporting labor intensive maintenance tasks for organizations. Automated patching systems can be deployed seamlessly, ensuring comprehensive protection across networks. AI tools and their cybersecurity models improve over time as organizations use them, becoming more effective and proactively deploying solutions before threats materialize and saving companies an average of 2.2 million in breach costs.
CyLogic: Pioneering AI-Driven Cybersecurity Solutions
CyLogic builds CyCloud infrastructure to meet the FedRAMP High cloud security compliance standard with 410 security controls. This meets or exceeds all security compliance frameworks globally that AI and other complex information systems run on. This allows CyLogic to provide assurance that infrastructure deployments can meet even the most difficult security, privacy and compliance challenges.
CyCloud infrastructure is agile and scalable. Whether you are deploying a highly secure custom machine learning solution in the most extreme environments, or delivering Agentic AI to millions of customers, CyLogic has the agility and experience to help you build and deliver your product. CyLogic solves the challenges of secure cloud infrastructure management so companies can focus on their business.
This month, Cylogic entered into a strategic partnership with the Cyber Civilization Research Center (CCRC) at Keio University’s Global Research Institute. The collaboration aims to showcase to Japanese businesses and government agencies that top-tier data security solutions can be quickly deployed within Japan. Together, Cylogic and CCRC are working to introduce advanced levels of data protection and operational control capabilities that have not been widely accessible in Japan until now in response to the sharp rise in cyberattacks the country has faced over the past decade (Full Press Release).
There are no shortcuts to developing the expertise necessary to run AI infrastructure. It takes time to build the right team. By sharing that expertise with customers, CyLogic helps them strategically plan their resource consumption and system design, allowing them to consume cloud resources predictably and efficiently, all without having to negotiate complex licensing and expensive on-demand pricing. CyCloud is not just AI-ready infrastructure, but the experience to help customers use it effectively.
At CyLogic, we provide the tools to help teams achieve success by empowering them to focus on their business. CyCloud solutions are trusted globally and built with the experience of industry leaders. Our AI-ready secure infrastructure solutions meet the most stringent security requirements without compromising on service.
With CyCloud, you get the advantage of our experience, processes and technologies to build your AI future without compromise.