By Bruno Caldas – Security Director at Skyone

Cybersecurity is undergoing a structural change: in the age of AI, response time has ceased to be an operational indicator and has become the main risk factor for companies.

Attacks are already being conducted in an automated way and operating at machine speed. In more advanced scenarios, data revealed that the time between initial access and total compromise collapsed from hours to an impressive 22 seconds – drastically reducing companies' reaction window.

On the other hand, the response follows a different rhythm. Many organizations take weeks or months to identify and contain incidents, which amplifies the impact and transforms isolated failures into operational crises.

This mismatch creates a critical asymmetry: attacks happen in seconds, while the reaction is still slow, fragmented, and dependent on processes that were not designed for this level of speed.

Part of this change is directly linked to artificial intelligence. What was once a support tool is now actively involved in the detection, analysis, and execution of real-time responses. In practice, both attack and defense already operate with automation and scale.

But there's a factor that exacerbates this scenario. The corporate environment is no longer composed solely of human users. Autonomous agents, API integrations, and decentralized automation have become part of daily operations, often without visibility or centralized control. The first challenge, therefore, is basic but still neglected in many companies: understanding what is already running within the environment.

The risk is no longer just in the use of technology, but in its lack of governance. The proliferation of autonomous agents – often created outside of technology fields – expands the attack surface and introduces a new type of vulnerability: systems that make decisions without adequate oversight.

This changes the logic of security. The challenge is no longer just protecting systems, but governing digital entities that operate within the organization. This requires an approach based on identity, traceability, and clear boundaries of action.

In this scenario, non-human identities cease to be the exception and begin to dominate the digital environment. APIs, tokens, and AI agents become critical control points, replacing the old network perimeter as the main focus of security attention.

At the same time, the defense architecture itself needs to evolve. The accumulation of disconnected tools reduces visibility and increases response time, transforming complexity into an additional risk. In cybersecurity, too much complexity is not sophistication. It's a vulnerability.

This challenge also extends beyond the company's own boundaries. In an increasingly SaaS and integration-based environment, responsiveness depends on how quickly suppliers and partners can adapt to new threats.

Cybersecurity is no longer just a technical issue. Today, its impacts directly affect the operations, reputation, and bottom line of companies.

In an environment where attacks happen in seconds, security becomes essentially a matter of coordination. They don't respect organizational charts, boundaries between areas or economic sectors. The response also cannot depend on silos.

The competitive advantage no longer lies in having more technology, but in being able to respond faster – with governance, clarity, and the capacity for continuous adaptation.