exclusive online course
Defending Your APIs Against Industrialized Cybercrime
With APIs pervasive across your organization, powering apps, and enabling digital transformation, you need to consider whether your existing infrastructure and security tools can identify security gaps before they become incidents and if they can withstand an industrialized attack.
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API coding errors and malicious bots are a significant cause of fraud and theft-related revenue losses, infrastructure overspending, poor customer experience, and brand damage.
In this course, we’ll explore several case studies of API attacks and techniques and discuss what’s needed to protect your applications and your business from suffering damages.
You will learn:
- How attackers are evolving to bypass detection
- How cybercriminals beat traditional approaches
- How Machine Learning and AI can provide help detect and defend against malicious bots
- Why an end-to-end API security strategy is imperative to making your apps less attractive to criminals
Watch our bonus content for a taste of what the coursework will be like.
Your CyberEd Instructor
Co-Founder and Chief Product Officer, Cequence Security
Ameya heads the product and engineering teams at Cequence and works closely with customers to identify new use cases and new attack vectors that can be addressed with AI and machine learning technologies. He has built strong engineering teams specializing in enterprise and consumer security in Silicon Valley, Los Angeles, Madrid, Pune, and Chengdu. Before co-founding Cequence Security, he was Director of Engineering at Symantec, where he was responsible for its anti-malware software stack that leverages network Intrusion prevention and behavior and reputation technologies, and anti-virus engines.