We’ve been in the cybersecurity industry for some time now and we’ve been observing the way we define detection and response. There is an increasing number of detection and response tools available in the market that claim to automate the entire process.
As most of us know, having multiple layers in our cybersecurity is crucial, and all security frameworks emphasize the importance of effective prevention, detection, and response. Prevention tools, like antivirus (AV) and intrusion prevention systems (IPS), provide the first line of defense. For instance, AV detects malicious code using signatures, heuristics, or machine learning and then automatically kills it. Similarly, IPS detects malicious inbound network activity and blocks the IP/domain without the need for human intervention.
However, many organizations prefer to deploy their IPS in detect-only mode to avoid the risk of blocking important traffic. This makes it an intrusion detection system (IDS) that focuses only on raising an alarm and requires a human to determine the extent of the issue and decide the next steps.
On the endpoint, AV has merged with endpoint detection and response (EDR) tools to create a split of responsibilities. AV provides prevention, while EDR logs and surfaces potentially malicious activities where automated blocking could be too risky. Extended detection and response (XDR) tools go beyond endpoint data, but despite the rhetoric around automated detection and response, the need for human validation and intervention remains. The knowledge of the business, industry, and systems is required to determine what is good and what is bad.
Automation can be a helpful force multiplier, but the truth is, detection and response must leverage human expertise. Every automated system can be circumvented by a persistent human adversary, and human threat hunters outperform artificial intelligence (AI) when it comes to analyzing the trail of breadcrumbs left by those threats. Human intelligence is the only match for human adversaries.
While technology is a crucial component of cybersecurity, it cannot replace the human touch. Automation can help us respond to threats quickly, but if all our detection and response is automated, we risk not recognizing a gap until it’s too late. The combination of human expertise and technology is what makes cybersecurity effective. The human touch provides the judgment, intuition, and critical thinking necessary to identify and respond to security threats, ensuring that our digital lives remain safe and secure.
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