The greatest security risks do not stem from zero-day exploits, but from lack of asset visibility, behavior-based social engineering, and token compromise.
Organizations address shadow AI most effectively through clear governance frameworks, transparency mechanisms, and systematic training rather than blocking approaches.
The challenge is not to choose a side, but to create feedback loops that mediate between the pace of AI-accelerated development and the requirements for reliability and maintainability.
Vulnerability Management is a continuous five-phase process that begins with asset discovery, proceeds through scanning and prioritization, and requires technical and organizational measures to remediate security flaws.
CISOs must translate technical SOC insights into understandable business risks to anchor security measures as business priorities; only those who clearly articulate the impact on processes, finances, and reputation secure the necessary investments.
