Time plays a crucial role in an organization’s defense posture, including the timestamping of events, whether they occurred during business or non-business hours, context, such as after a major business change or during a specific season, and the time taken to detect and respond to incidents.
While most of these time-related factors lie outside security teams’ control, they’re directly responsible for the time it takes to detect and respond to cyberattacks and impacts to the organization’s overall security posture.
When more isn’t merrier
When building a security strategy, more is not always better. More tools, more datasets, and more siloed strategies often result in increased investigation times and reduced efficiency.
The volume of alerts generated by multiple independent tools can also overwhelm analysts and complicate forensic analysis. Although the mean time to detect (MTTD) for individual tools might appear low, the overall time required to correlate events and identify root causes across multiple systems can increase significantly.
From a response perspective, the mean time to respond (MTTR) should be kept as low as possible because delayed responses can amplify the impact of an attack. Cyberattacks can cause both financial and reputational damage. While the effects might not be immediately visible, the cost of an incident typically increases over time as highlighted in IBM’s “Cost of a Data Breach Report 2025.”
Breaking down security silos
Unlike traditional IT environments where employees worked within defined organizational boundaries, today’s digital landscape extends far beyond physical offices and even national borders. This distributed perimeter makes it significantly harder for IT and security teams to monitor devices, activities, and potential threats.
The widespread use of personal devices, shadow IT, and unauthorized applications further expands the attack surface and adds to the challenge.
Modern IT operations cover a broad range of functions, from provisioning devices and managing access permissions to patching vulnerabilities, monitoring user activity, and detecting ongoing threats. To handle this complexity, teams employ specialized tools such as endpoint detection and response, extended detection and response, and network detection and response solutions, along with identity management and other cybersecurity systems.
However, as each new tool enters the stack, achieving centralized visibility becomes more difficult. The volume of logs and alerts generated can be enormous, making it challenging for analysts to prioritize threats effectively.