The price and root cause of ineffective data security analytics
Security teams, more than any other group in a company, recognize that swiftly discovering attacks has a direct and verifiable impact on the companies. Breach detection takes an average of 280 days and costs US$8.19 million in fines, man-hours, and reputational damage. Why?
There is just too much lawful data access, a continually evolving and expanding universe of data repositories, a dearth of appropriate tools, and a paucity of security personnel, to name a few issues. Unauthorized data access is inevitable and should be anticipated by security personnel.
It is critical to reduce the time between breach and detection
The most significant factor is time to detection; the time between when a breach occurs and when it is discovered. Reducing that time is critical for limiting the attackers’ ability to identify and exfiltrate data. Waiting for a security technology to stop this behaviour is wishful thinking. You must take a new strategy.
Our greatest security risk is ourselves
Attackers’ primary objectives are internal personnel, privileged accounts, and databases. Hackers have no need to target centralized data repositories when they can more easily target the individuals who hold the keys to such kingdoms.
Databases are incredibly active and generate massive volumes of raw transactional exhaust – a trail of data left by user activity during their activity. Without a thorough analytics tool that is tailored and focused on the task at hand, detecting threats in these situations is practically difficult.
However, there appears to be no limit to the amount of huge corporations that have spent millions of dollars attempting to accomplish just that with legions of employees and elaborate anti-fraud and review systems. Using a historical (or generic) approach to database monitoring and detection exposes you to significant danger. Regulators, auditors, customers, and lawyers all expect enterprises to install “an adequate and reasonable solution” to detect and prevent harmful activity, and organizations must exercise due diligence when it comes to sensitive personal data.
Next steps in due diligence
Shift from compliance-centric to data-centric security
Data security is no longer a compliance duty in which a report is sent to an auditor and a box is checked. Traditional data recording and monitoring techniques only covers a tiny portion of your data repository, leaving the majority of critical data vulnerable to insider and outsider threats. According to research, 54% of businesses do not know where their sensitive data is housed. Simultaneously, almost all firms whose sensitive data was taken were in compliance with auditors, giving them a false sense of security.
Establish reasonable expectations
A data security solution will shorten the time it takes to discover a breach and detect potential policy violations before they occur, and your performance will steadily improve. Utilize your ability to obtain access into your data repositories, along with context-rich alerting and fast incident response procedures, to streamline threat containment and remediation operations. This ensures continuous improvement.
Protect privileged accounts and databases using robust analytics tools
A powerful behavioral analytics engine can use machine learning techniques to detect aberrant data access activities, considerably boosting the likelihood of detecting an active attack. Using the institutional information provided by data analytics technologies allows you to make sensible, time-saving decisions about how to reduce security concerns within your business.