There is a big difference between AI-assisted response and AI-automated response.
AI-Assisted response
AI analyzes data, surfaces insights, and provides recommendations – but the final decision is made by a human.
This is like having a team of highly skilled analysts working 24/7. The AI takes care of the heavy lifting: scanning logs, detecting patterns, and summarizing risks. But it doesn't press the button – it hands over the decision to you.
Why it matters:
•Ensures human judgment stays at the core of critical decisions.
•Reduces the burden on analysts by cutting through noise.
•Lowers the risk of catastrophic mistakes caused by false positives.
Example: An AI system might flag a suspicious login from an unusual location. Instead of immediately locking the account (which might disrupt a traveling executive), AI provides the context and a recommendation – leaving the final decision to security staff.
AI-Automated response
AI takes action without human oversight – blocking traffic, isolating devices, or shutting down systems on its own.
This approach is fast and can contain threats in real time, but it comes with serious risks:
•A false positive could take down a critical business system.
•Overreliance on automation can create blind spots when AI misses context.
•Trust in the system can erode if it acts too aggressively.
Example: An AI system might automatically quarantine a server because of abnormal traffic. If the AI misclassifies legitimate activity as malicious, that automated response could cause unnecessary downtime.
Why the balance matters
While full automation sounds appealing, the truth is: critical moments require human judgment.
AI can:
•Inform decisions with speed and accuracy.
•Accelerate investigations.
•Assist by surfacing insights that humans might miss.
But it should not replace the decision-maker when the stakes are high.
The Strongest Approach: AI-Assisted, human-in-the-loop
The most effective strategy is not to choose between humans and machines – it's to combine their strengths.
•AI filters the noise – spotting anomalies and highlighting what matters most.
•Humans provide context – understanding business impact, weighing risks, and making nuanced decisions.
This collaboration creates a system that is both fast and reliable.
InSight does not just hand you the data and expect your teams to make sense of it – but neither does it take action upon alarm by itself.
InSight collects data, provides correlation and interpretation with our integrated expert knowledge and suggests probable cause.
But that is where machine action stops, and human action begins. The human has all the information needed to solve the problem, as we provide not only visualization, but also interpretation and cause analysis.
But it is up to the human to decide how to act. This is the best way to avoid critical false positives.
At the end of the day, AI should empower people, not override them.
Because in security and decision-making, the click that matters most still belongs to you.