Despite AI's potential, it also involves new risk. Any failure of implementation or data quality variance may worsen the environmental landscape rather than protect it.

A greater number of audit certification holders around the globe now meet the requirements to pursue the new ISACA Advanced in AI Audit (AAIA) certification—the first and only advanced audit-specific ...

Organizations still need to govern these applications to meet regulatory & compliance needs and to reduce security risks.

Recent advancements in artificial intelligence (AI) and machine learning (ML) have paved the way for the transformation of vulnerability management.

To secure valuable data, organizations need to implement digital trust in software supply chains; however, several key ...

Given a challenging economic environment, hiring in the cybersecurity field might focus more on strategic and critical roles in the coming months.

To produce risk assessments with more accuracy, artificial intelligence (AI) can be used because one of its core competencies is data aggregation and interpretation.

Artificial intelligence can help security professionals counter the threats from cyberattacks that also are increasingly boosted by AI.

While the three lines of defense covering assurance, governance, risk, compliance, information security and cybersecurity functions can all be working in one way or another on information security and ...

A cybersecurity audit empowers organizations of all sizes to help identify and mitigate their cybersecurity risk.

Vendor management is a fundamentally critical function that impacts an organization's operational success, efficiency, reputation and risk exposure.