Making APIs Secure Demands Tracing and Machine Learning to Rapidly Limit Damage from Attacks

BriefingsDirect Podcasts

A tartalmat a Dana Gardner biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Dana Gardner vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

3y ago 33:36

MP3•Epizód kép

The burgeoning use of application programming interfaces (APIs) across cloud-native computing and digital business ecosystems has accelerated rapidly due to the COVID-19 pandemic.

Enterprises have had to scramble to develop and procure across new digital supply chains and via unproven business-to-business processes.Companies have also extended their business perimeters to include home workers as well as to reach more purely online end-users and customers.

In doing so, they may have given short shrift to protecting against the cybersecurity vulnerabilities inherent in the expanding use of APIs. The cascading digitization of business and commerce has unfortunately lead to an increase in cyber fraud and data manipulation.

Stay with us for Part 2 in our series where BriefingsDirect explores how APIs, microservices, and cloud-native computing require new levels of defense and resiliency.

Subscribe to the podcast on iTunes. Read a full transcript or download a copy.

To learn more about the latest innovations for making APIs more understood, trusted, and robust, we welcome Jyoti Bansal, Chief Executive Officer and Co-Founder at Traceable.ai. The interview is moderated by Dana Gardner, Principal Analyst at Interarbor Solutions.

Subscribe to the podcast on iTunes. Read a full transcript or download a copy. Sponsor: Traceable.ai.

101 epizódok