By Albert Caballero, Field CISO Americas
Autonomous vehicles have captured the imagination of humans for decades. There are few examples of fully autonomous vehicles available today, designed for limited commercial use, but there is international consensus on what fully autonomous vehicles are and the standards by which they are measured. Autonomous flight is also quickly becoming one of the most popular, and controversial topics in aviation, known as “continuous autopilot engagement”, where machine learning-based algorithms are handling all necessary flight tasks from engine start through full navigation, landing, and shutdown.
In every case, security and safety are paramount due to the potential of harm to life and limb; therefore, we see that automation in transportation usually starts with features that increase security and enhance safety. The goal, however, is to make travel inexpensive and accessible to everyone while increasing efficiency and lowering cost. Whether referring to it as autonomy or automation, the truth is that artificial intelligence (AI) is progressively making these seemingly science fiction-based notions a reality.
There are many parallels that can be drawn between autonomous driving cars and what can be referred to as the Autonomous Security Operations Center (ASOC). Although it is still quite far off, this blog takes a deep dive into the key characteristics that would make the ASOC a reality and what this could mean in accelerating autonomous security operations based on well-defined levels of autonomous driving (Level 0-5).
One thing that is clear is that AI will set new benchmarks in three key areas: Speed, Expertise, and Volume. The typical tiered structure (Tier1, Tier2, etc.) within today’s SOC is changing and will soon become obsolete. With this level of autonomy, security analysts will not be needed for day-to-day operations and will be able to focus on higher-level strategic planning, research, and other tasks unrelated to immediate threat management.
Read the full blog here