Detects The Undetectable

False Negative (FN)

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A false negative happens when a cybersecurity tool misses a real threat. It wrongly says a system is safe. This is worse than false positives. It leaves companies blind to dangers and creates a false sense of security.

This is the most common question I’ll ask during an interview.

Here’s why false negatives matter a lot. One missed vulnerability can cause big problems like data leaks or ransomware.

For example, zero-day exploits or misconfigured systems often slip through due to limitations in scanning tools or outdated signatures. The consequences can be catastrophic, as attackers exploit these blind spots.

Sadly, false negatives can turn to gray rhinos 🦏¹. Many rely on automated tools that miss these tricky threats. Budget constraints, lack of expertise, and overconfidence in tools, has make it wasy to overlook them.

FN Discovery

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False negatives are the undetectable threats that lurk in plain sight. Simply ignoring them can be risky.

I just released a new util on GitHub to help uncover false negatives. It detects undetectable threats that could harm your systems. Download it now to strengthen your cybersecurity:

myseq/utils

some ultilities

Python

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