The rise of APIs in digital transformations has created new vulnerabilities to cyberattacks. Traditional methods of API security are proving ineffective, necessitating the use of machine learning (ML) and artificial intelligence (AI). API security breaches can result in significant financial and reputational damage. To effectively combat API abuse, businesses need to implement ML-driven API security solutions, thoroughly trained on years of API data, and employ detection dashboards for quick identification and resolution of abuse incidents.
Cybercriminals Use Fake SEO Sites to Spread TamperedChef Malware via Bogus PDF Editor – WebProNews
Cybercriminals Use Fake SEO Sites to Spread TamperedChef Malware via Bogus PDF Editor WebProNews
