According to a recent LinkedIn post from Impart Security, the company highlights how traditional web application firewall rule tuning often fails to detect modern automated threats such as credential stuffing and carding. The post notes that these attacks typically use applications as intended but at machine speed and with stolen data, bypassing signature-based detection that focuses on malformed or obviously malicious requests.
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The post references the OWASP Automated Threats project, which catalogs 21 types of automated attacks, and suggests that most security teams have robust coverage for only a subset of these categories. For investors, this emphasis on gaps in existing defenses may indicate a growing addressable market for more behavior-aware application security tools, potentially positioning Impart Security to benefit from rising demand for solutions that better detect automated abuse.

