IT_Security

  Artificial intelligence is revolutionizing how organizations operate, boosting efficiency, automation, and decision-making speed. However, as businesses embrace AI across departments, a serious problem emerges: security and governance are not evolving at the same pace as innovation. Many companies unknowingly expose sensitive data, intellectual property, and regulated information through poorly governed AI usage. From employees using public AI tools for convenience to enterprises deploying custom AI systems without adequate controls, AI introduces new and complex risk vectors that traditional cybersecurity frameworks were never designed to manage. Without  a structured AI security strategy , organizations face increased risks of data leakage, compliance violations, model manipulation, and shadow AI usage — all of which can result in severe financial, legal, and reputational damage. What Does It Mean When We Say AI Tools Are a Security Threat? AI tools become a threat when th...

  Why This Incident Is a Critical Wake-Up Call for Salesforce Users The recent hacking of multiple Salesforce instances through Gainsight integrations has exposed a dangerous reality for modern businesses: third-party integrations can become the weakest link in your security chain. While Salesforce itself remains a highly secure platform, attackers exploited the trust relationship between Salesforce and Gainsight to gain unauthorized access to sensitive customer data. This incident highlights a growing cybersecurity trend where attackers bypass direct system breaches and instead compromise connected applications, OAuth tokens, and API permissions. For organizations relying heavily on integrated SaaS ecosystems, this breach is not just news — it is a strategic warning that integration security must now be a top priority. What Does It Mean That Salesforce Was Hacked via Gainsight? This breach occurred not through Salesforce’s core infrastructure but through a trusted third-party inte...