Harnessing AI for Proactive Incident Management

The cyber threat landscape is changing fast that most organizations can adapt. Attack methods are evolving, risks are multiplying, and the pressure on security and operations teams continues to grow. According to the World Economic Forum’s Global Security Outlook 2025 report, 72% of organizations have seen an increase in cyber risks over the past year. Phishing and social engineering attacks have surged, with 42% of organizations reporting incidents – a sharp rise largely driven by the use of generative AI (GenAI).

While cybercriminals are using AI to launch faster and more sophisticated attacks, organizations also can, and should, be using it to gain an advantage. AI enables a shift from reacting to incidents after they happen to predicting risks, strengthening defenses, and resolving issues before they disrupt operations. More on this below.

The Hidden Cost of Slow Resolution

When systems break or slow down, the damage goes far beyond the initial disruption. Every minute teams spend chasing alerts or waiting for handoffs increases the impact. Customers lose trust. Employees lose time. Small issues turn into bigger ones.

But the slowdown doesn’t come from lack of skill. It comes from a lack of shared context. Teams across infrastructure, support, and engineering often work from different tools and conflicting data. That gap creates delays. While one team investigates a pattern, another chases the wrong signal.

The challenge is scale. Modern systems produce huge amounts of data, but most of it goes unused. The more complex the stack, the harder it is to see what matters. Without a clear view of system health, teams react to symptoms rather than solving the underlying issue.

This is where AI has the biggest impact.

Six Ways Resolve.AI Improves Incident Resolution

Resolve.AI is part of our Synechron CyberAI solutions, launched in 2025 after more than a decade of focused research and development in artificial intelligence. Following the success of our first two AI suites – Synechron Nexus and Synechron Nexus Plus – we built Resolve.AI to help organizations struggling to keep pace with growing complexity, rising cyber risk, and constant operational pressure.

Resolve.AI gives incident and support teams the context and speed they need to manage modern systems – without being buried in data or delay. Here’s how it works:

1. Supports production teams with real-time insight

   Surfaces the most relevant incident data from past and present, helping teams make faster decisions without guesswork.

2. Automates log analysis

   Sorts through large volumes of logs in seconds, freeing engineers to focus on critical issues rather than manual reviews.

3. Detects and resolves incidents faster

   Identifies patterns, flags root causes, and recommends actions that reduce downtime and service impact.

4. Tracks system health in one place

   Combines signals across tools and platforms to give teams a clear view of performance, risk, and urgency.

5. Predicts failures before they happen

   Spots early signs of disruption, drawing on live data to support maintenance and prevent issues from spreading.

6. Improves planning and change management

   Models the impact of system or application changes, helping teams prepare and respond with less risk.

Bringing It All Together

Where traditional approaches provide limited relief to the increased scale and AI solutions are able to bring clarity and speed to a space that has long been defined by pressure and delay. By connecting the right signals at the right time, it allows teams to respond with confidence, reduce risk, and focus on what matters most. This shift marks a move toward systems that are prepared and towards teams that no longer operate in reaction mode, but with control.