Why IT companies scared about Overwhelming security tools?

          The different methods available to address these security concerns frequently overwhelm organisations. Too many tools necessitates an extravagant investment of time and attention, not to mention finances, in researching, purchasing, integrating, and running these technologies. This places additional strain on CEOs and IT personnel. With so many moving pieces, even the best security engineers are rendered useless in attempting to address potential network vulnerabilities. Most organisations simply do not have the resources to invest in cybersecurity.

How ML solutions overcome the security challenges?

        Machine learning (ML) algorithms are the ideal solution for organisations coping with problems. Algorithms may then train a model based on behaviours, giving any business or organisation with a secure IT infrastructure. Any organisation or corporation looking to update its security infrastructure should prioritise a customised ML-based SaaS platform that functions efficiently and on schedule.

What CNAPP do?

          Cloud-native application protection platforms (CNAPP), a security and compliance solution, can assist IT security teams in deploying and running secure cloud native apps in automated public cloud settings. CNAPPs can use machine learning techniques on cloud-based data to detect accounts with strange permissions (one of the most popular and unreported attack vectors) and reveal possible dangers such as host and open source vulnerabilities.

When it comes to network security, relying on a trusted third party is analogous to hiring a locksmith to repair your home’s locks. Most of us have no idea how our home’s locks operate, yet we rely on a professional to handle the job. Using third-party expertise to run ML-algorithms gives businesses and organisations the flexibility and agility they need to thrive in today’s digital world.