Cyberattacks are on the rise, targeting the ever-growing amount of data organizations store in the cloud. While economic pressures lead to staff reductions in cybersecurity teams, a double threat lurks: "dark data" and a lack of qualified professionals.

Dark data refers to all the unorganized information within your organization – old files, emails, and system logs. This data can contain sensitive information you're unaware of, leaving it vulnerable to exploitation. Shockingly, 75% of data stored in the cloud in the last two years falls under this category. This lack of awareness, combined with a shortage of cybersecurity professionals who can identify vulnerabilities, creates a major security gap.

The good news is there's a way to fight back. Advanced AI and machine learning can automatically scan and analyze vast amounts of data, including dark data. This technology can identify potential security risks and hidden sensitive information that the human eye might miss. Imagine uncovering valuable business insights while simultaneously securing your organization's data – a true win-win situation.

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