The cybersecurity industry is facing a new challenge: decision latency, exacerbated by the increasing speed of AI-powered cyberattacks. Organizations have invested heavily in visibility tools, the ability to quickly interpret data and make informed decisions remains a critical bottleneck.
As reported by The Cyber Express, the rapid advancement of AI, particularly agentic AI, is compressing the time attackers need for reconnaissance, vulnerability analysis, and personalized social engineering. This creates a scenario where attackers can make decisions faster than defenders, a problem amplified in regions like ASEAN with varying levels of cybersecurity maturity. Traditional security operations, focused on detection latency, must now prioritize decision latency.
Threat intelligence needs to evolve from a collection-analyze-report model to a detect-enrich-correlate-understand-decide-act framework. AI's role should be to reduce the distance between intelligence and action, acting as a force multiplier for analysts by handling repetitive tasks and enabling them to focus on critical decision-making.
However, the implementation of agentic AI requires a robust trust architecture, defining clear boundaries for autonomous actions, especially in critical infrastructure. The future SOC will likely be a governed autonomous system, emphasizing human accountability and precise decision-making rather than full automation, ensuring that speed does not compromise control and safety.
Source: The Cyber Express
