Compare what each security category can discover, what it can validate and where it stops short of proving a realistic path to impact.
Conventional tools remain valuable within their categories. The meaningful difference is whether they can connect exposure, API behaviour, identities and exploitability, then produce evidence for the resulting attack path.
Direct answers on scope, evidence, safety controls and how ThreatCanary differs from tools you already run.
ThreatCanary is an AI-native offensive security platform connecting Exposure Intelligence, API Security and continuous attack-path validation through one graph and evidence model.
ThreatCanary can complement scanners used for known-CVE hygiene and compliance coverage. Its primary difference is validating whether weaknesses are exploitable in context and whether they combine into a realistic attack path.
ThreatCanary provides continuous discovery and offensive validation between point-in-time assessments. Human testing can still provide valuable judgement and engagement-specific depth.
