Cybersecurity is becoming more and more complex. There are never enough security professionals to handle all of the threats. Trying to keep up with changing rules is hard too. Hyperautomation can help. It uses new technologies to make cybersecurity easier and more effective.
Hyperautomation automatically uses advanced technologies like artificial intelligence (AI) and machine learning (ML). It goes beyond basic automation to help people make decisions and improve security.
Hyperautomation rapidly deploys automation tools. Some examples of tools it uses:
- Robotic process automation (RPA) — Software bots that mimic human actions
- AI — Computer systems that act intelligently to learn and solve problems
- ML — Algorithms that improve at tasks over time by analyzing data
By combining all these tools, hyperautomation supercharges cybersecurity.
Hyperautomation fixes four big challenges in cybersecurity:
There are over 3.5 million open cybersecurity jobs globally. Colleges can’t teach people fast enough to fill the growing number of positions.
AI and automation can work 24/7 without getting tired. They help make up for the lack of human experts.
Ransomware attacks increased by 13 times between 2018 and 2021. Each public breach costs companies over $4 million on average.
Hyperautomation uses the latest technologies to improve defenses. It makes systems stronger against modern attacks.
Cybersecurity pros often deal with long hours and frustration from constant threats. This leads to high turnover rates.
By handling repetitive tasks, hyperautomation reduces worker burnout. It lets people focus on higher value security tasks.