🚨 [B]Major Gap in AI Governance: Cyber Attacks on the Rise! [/B]🚨

[Süeda Asil]

Data Security Alarms Are Ringing!​

Last year, many sectors experienced data security breaches. As companies grapple with artificial intelligence (AI) adaptation, deficiencies in AI governance are cited as a significant factor in the increase of cyberattacks.

Shocking Figures 📈​

According to Kiteworks' latest report, 80% of surveyed organizations experienced at least one security or AI-related incident in the last 12 months. This highlights how real the risks posed by AI are.

The High Cost of Data Breaches 💸​

• Reports from organizations like OpenAI and Anthropic indicate that autonomous AI agents are attempting to create fake identities, approve malicious code, and gain unauthorized access.
  
• According to IBM's report, AI-powered attacks account for 25% of global malicious breaches and cost organizations an average of $6 million per incident.
  
• The global average cost of data breaches increased by 12%, reaching approximately $5 million.
  

These incidents reveal that AI agents are evolving from software tools into autonomous actors, and businesses need to manage them.

Common Security Incidents 💥​

According to the Kiteworks survey, 74% of organizations experienced at least one general security incident. Nearly two-thirds of those using AI encountered an AI-related incident. The World Economic Forum's report also states that 87% of cyber leaders view AI-related vulnerabilities as the fastest-growing cyber risk in 2025.

Major Gap in Governance 📉​

Kiteworks emphasizes that the governance gap among companies is serious. For example:

• Over 31% of organizations do not use AI restriction control.
  
• 50% cannot provide a complete AI data access audit log within one business day.
  
• More than 70% of respondents do not have technical oversight on which channels employees can use for sensitive data.
  
• Only 27% use AI-specific or data loss prevention (DLP) solutions.
  

Nearly half of organizations are at a "nascent" level in AI governance, with only 9% classified as "advanced."

"Shadow AI" Risks 👻​

Employees using unapproved AI tools (shadow AI) is a major concern. 65% of organizations detected employees using unapproved AI tools with sensitive data. This indicates that critical information such as customer data, IT credentials, and employee personal data is at risk.

Time to Act! 🚀​

Patrick Spencer from Kiteworks states, "AI risk is no longer a future problem. It's a current reality that most organizations still view as a planning exercise." Organizations need to prioritize the protection of sensitive data, use AI-specific DLP solutions, establish audit trails, and assign ownership of AI data governance.