Traceable AI
summary
Claim: API-driven microservices create a new, large attack surface that legacy signature and gateway tools miss. Evidence: a cited statistic of 91% of organizations had an API security incident and concrete failure modes like broken object level authorization paired with excessive data exposure. Approach: collect edge, internal and code-level traces, feed them to a security-focused AI that learns normal user and data flows, inventories risky APIs, and adapts protections at DevOps speed; vendor demo claims this actually detects and prevents such attacks.
AI-written summary · about
chapters (10)
- 0:00Intro
- 1:06MODERN APPLICATIONS
- 1:57APIs power the modern economy
- 5:36Challenges
- 8:21APIs are great targets for attackers
- 9:21Attempts to Solve For API Security
- 14:09Inadvertent Addition of Risks
- 15:22Application security has to evolve
- 18:47Modern App Security Requires Full Application Cont
- 21:33One team... with specific needs DEV
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