Sophos partners with OpenAI to bring frontier AI to cybersecurity channel

In August 2026, Sophos entered a partnership with OpenAI in order to bring OpenAI’s frontier models to managed service providers (MSPs) through Sophos Fusion, enabling partners to build new AI-powered security services.

The partnership will integrate OpenAI models into Sophos Fusion’s connected cyber defense architecture, which brings together endpoint, network, email, cloud, identity, and security operations. Sophos said the approach will allow MSPs to use frontier AI within existing security workflows rather than deploying it as a separate tool. The collaboration will also extend to Sophos AI Defense, which is available for early access in August 2026 and provides visibility and policy controls for AI and shadow AI usage across organizations.

Sophos stated that the partnership builds on its participation in the OpenAI Daybreak Cyber Partner Program, with the expanded collaboration focused specifically on MSPs and channel partners. Sophos has more than 25,000 partners, including over 7,000 MSPs. The companies also intend to help approved partners use frontier AI to enhance threat detection, investigation, and response while developing security services tailored to their customers.

Impact on the ICT Market

Traditional security solutions, such as early antivirus software and intrusion detection systems, rely on signature-based detection. These systems maintain a database of digital "signatures," or unique patterns, for known malware and cyber-attacks. When a file or a network packet matches a signature in the database, the system flags it as a threat. The main limitation of this approach is that it can be reactive. It is only able to detect threats that have already been identified and added to the signature database. Thus, it proves to be utterly ineffective against new, previously unseen threats, often referred to as zero-day attacks.

This is where Artificial Intelligence comes into play. AI handles the heavy lifting in threat detection by sifting through millions of events, finding patterns, and automating responses while humans provide oversight, context, and ethical judgment. It’s not man versus machine; it’s man plus machine, working in sync to outpace cyber adversaries. In cybersecurity, ML models are trained on vast datasets of network traffic, file behaviors, and security logs to recognize normal versus malicious activities. AI, in a more general sense, can encompass everything from these ML models to more advanced, automated reasoning and decision-making systems that can take actions based on those predictions.

Impact on the Cybersecurity Services Market

The global cybersecurity services market size is accounted at USD 177.27 billion in 2025 and predicted to increase from USD 188.66 billion in 2026 to approximately USD 328.32 billion by 2035, expanding at a CAGR of 6.36% from 2026 to 2035.

According to Precedence Research, the government and private sectors are spending large amounts on cybersecurity systems to prevent cyber risks. Cybersecurity services secure confidential data from BFSI, healthcare, manufacturing, and government sectors. Instances of cyber threats are rising continuously, raising concerns among businesses. As cyber threats are becoming more and more sophisticated, businesses are actively choosing well-developed security systems.

The use of artificial intelligence is also helping cybersecurity companies address new security risks. Artificial intelligence (AI) allows quick analysis of a lot of data so that anomalies can be noticed shortly after they occur. Thanks to predictions, the organization can act fast and prevent damage or loss. The growing number and difficulty of cyber threats encourage businesses to rely more on AI to avoid data breaches and stay in line with stringent regulations.

Impact on the AI in Cybersecurity Market

The global artificial intelligence (AI) in cybersecurity market size accounted for USD 29.64 billion in 2025 and is predicted to increase from USD 35.40 billion in 2026 to approximately USD 167.77 billion by 2035, representing a CAGR of 18.93% from 2026 to 2035.

According to Precedence Research, several cybercriminal enterprises have already invested in automation, machine learning, and AI to launch large-scale, targeted cyberattacks against companies, as the number of threats and the risk of ransomware attacks continue to increase worldwide. The growing number of cyberattacks targeting high-tech firms, defense organizations, and government agencies further highlights the demand for sophisticated AI-driven solutions. Such advancements aim to address evolving challenges in securing sensitive data and critical infrastructure.

AI also plays a vital role in the market by facilitating the proliferation of 5G technology and the rising demand for cloud-based security solutions among small and medium-sized organizations. Artificial intelligence in cybersecurity is currently gaining popularity to secure information. Because end users are anticipated to embrace AI in cybersecurity to address security concerns and spot new types of assaults that can occur at any time, the market for artificial intelligence in cybersecurity is growing quite steadily.

Expert Opinion

“Frontier AI only protects organizations at scale when you have the architecture to operationalize it and the reach to deliver it,” said John Peterson, Chief Technology Officer, Sophos. “For those partners, it opens a new class of AI security services to build a business on.”