Since SAP’s controls that are harnessed by fraudsters have certain crucial vulnerabilities, SAP transactions could be a fertile ground for data theft and fraud. The consequence is that, without being identified, such suspicious activities go on for a long time. The modern way of using manual checks and conducting frequent audits exposes risk only in retrospect. Organizations need complex controls and real-time visibility to restrict the financial effect of risk.
Organizations are turning to technology solutions that offer fine-grained, data-centric control and actionable insights into user behavior. It is important to concentrate risk management strategies on data with a multitude of transactions being conducted in real-time instead of static roles and approvals.
SAP’s Static Security Policies
The static, role-based security controls of SAP can pose constraints that trigger compromise between business policies and security. Unable to manage risk with static controls, business owners renounce preferred access policies or are forced to rely on manual processes to reduce risk.
Uncapped Financial Fields
While it can be harmless to adjust or alter specific low-risk data fields, repetitive changes can jeopardize the integrity of a financial transaction. The native application controls of SAP don’t allow organizations to restrict or block access based on the transaction’s monetary value. This results in an increase in the financial risk of the company. There is no other way to control or track what adjustments are made to different fields when access to a transaction is provided.
Business Risks: Manual Controls
In order to manage business risks, businesses are disproportionately reliant on manual controls. With automatic controls, if you are unable to resolve risk, someone must collect, check, and handle any possible violations manually. This approach is sluggish, diverts time from routine duties, and may lead to missed violations.
Complicated Audits
The identification of business risks is usually based on time-consuming and manual audits and reports. As an audit can take too long (weeks or even months) to complete, a malicious activity can go undetected during review times. In addition, the enormous amount of manual work involved could restrict a study’s reach, thereby allowing risk to remain confidential.
Some Ways Of Managing Security Risks
With the help of the right data management and analytics tools available, SAP customers can gain greater visibility and control over the most risk-prone sensitive data. Companies can proactively address the threats that are often seen only in retrospect by using fine-grained, attribute-based controls, along with granular data access and usage analytics. They would thus prevent real-time financial losses from occurring.
Eliminating Audits For Manual Risk Control
Real-time analytics would allow companies in search of suspicious behavior to remove much of the time-consuming task of auditing business processes. Auditors may view transaction information using the analytics dashboard of data protection solutions to detect suspicious behavior and immediately begin the remediation processes. Therefore, teams could actively spend more time avoiding risks than attempting to manually uncover them by auditing them.
Rate-Limiting Controls
Companies can, by imposing rate-limiting controls, restrict the financial risk of individual transactions. Such a capability can allow you to apply a cap on the monetary value of a transaction, set limits on the number of times a field can be changed, or set restrictions on field-value adjustments by percent variance.
Data-Centric Policies
The ideal security approach should allow you to limit access to sensitive data and transactions if the context seems suspicious. For example, such a context may be user attributes, data attributes, type of activity, IP address, time of day, location of the user, amount of money transacted, number of transactions, patterns of user activity, and duty segregation.
Data Security And Real-Time Analytics
Actionable insights from reliable data protection and analytics solutions can help you detect malicious behavior and make decisions in real-time. Therefore, you can monitor, decide, and control business risks.
