The evolving perception of an 'AI attack' varies depending on concerns of organizations, with some focusing on enhancing attack capabilities and others on internal users exposing additional risks.
Organizations face the challenge of protecting their AI systems and defending against attackers using AI-based tools by strengthening security fundamentals through testing and validation practices.
Protection of AI solutions starts with securing the underlying IT infrastructure to prevent exploitation, as attackers use AI to enhance existing tactics rather than develop new ones.
Addressing AI security issues does not necessarily require new AI-specific security solutions, but emphasizes reinforcing existing solutions and focusing on current threats.
Continuous Threat Exposure Management (CTEM) practices are increasingly adopted to ensure protection by identifying and addressing potential exposures attackers could exploit.
Real-time visibility and validation help organizations prioritize security gaps effectively and respond to tens of thousands of security alerts to stay ahead of attackers using AI tools.
Without validation, AI systems are vulnerable to exploitation, making it crucial for organizations to combine exposure management and security validation to fortify their security fundamentals.
By prioritizing the testing and protection of AI systems, organizations can deter attackers looking for easy targets and reduce the risk of breaches in their systems.
The article discusses the importance of focusing on security fundamentals, continuous testing, and validation practices to address AI security challenges effectively.
Ultimately, staying vigilant and proactive in testing and validation can help organizations enhance security and resist against attackers leveraging AI tools for malicious intents.
AI is transforming security validation practices, prompting organizations to prioritize securing their AI systems and underlying infrastructure against evolving threats in the cybersecurity landscape.