7 Considerations for Your 2020 IT Security Policy
Artificial Intelligence IT security policies may very well be the difference between falling victim to a cyber security attack or securing private information.
It’s no secret that AI is becoming an integral part of our daily lives. When it comes to business, AI is involved in more processes than you think. IT security policies must adjust in order to protect sensitive data from cybersecurity threats. This means your organization needs to incorporate AI and machine learning into its security policy in order to protect against future cyber attacks. In fact, “61% of enterprises say they cannot detect breach attempts today without the use of AI technologies”, according to a report from Capgemini. Artificial Intelligence may very well be the difference between falling victim to an attack or securing private information.
Secure Up-To-Date Data
Without working with the most recent data, you are setting you and your organization up to be the perfect targets for a cyber crime. Furthermore, when AI comes into play, its algorithms are only as advanced as the human who programed them. Even once the AI backed security policy is in place, you must work to consistently receive new data sets to ensure your AI can continue to improve upon itself.
Data Platform Creation
Even if you have the most up-to-date data, you must have a platform that can host and secure it. Be sure to create an ample data platform that can be accessed by your AI programs. This will enhance your IT security policy and allow for automated checks to ensure the stored data is secure from cyber attacks.
AI Use Cases
AI seeks to learn once it is programed because it is designed to mimic human intelligence. In order to effectively add AI and machine learning to IT security policies, the right AI use cases must be considered.
When programming the AI algorithm, be sure to include cases that have current and complete data that is regularly updated. This will allow your team to continue improving and perfecting an algorithm that can adapt as new data becomes available. Without proper use cases, your AI backed IT security policy will not be able to properly understand new security attacks.
Collaborate with External Parties
Cyber security attacks do not just impact a single organization. When one organization is subject to an attack, other companies in the industry are vulnerable. External parties should be invited to collaborate on AI security policies to ensure all private information is safe and protected. By crowd-sourcing security information, the AI cyber security algorithms will have more knowledge and be able to effectively improve their protocols
Implement SOAR Technology
SOAR (security orchestration, automation, and response) is a crucial part of an AI-oriented IT security policy since it allows you to collect information from an array of sources. With the combination of machine and human monitoring and understanding, SOAR allows organizations to create protection and response protocols to security threats. With SOAR, you can expect improved alertness from your security management team and reduced resources for training new cyber analysts.
Prepare Your Analysts
AI is only as good as the humans that develop, improve, and perfect the algorithm. It’s important to prepare your analysts before you implant AI technology into your new IT security policy. They need to be trained in new AI technologies and ensure they are competent in their new roles. If necessary, bring in AI specialists to aid in the training.
Create Long-Term Plans
Just as AI technology can predict our intentions, your IT security policy must include long-term solutions. While your security plan must be revisited annually, it’s important to have a solid structure in place that will provide optimal protection against cyber security threats. When you implement your IT policy, it has governance such as risk tolerance, abnormal behavior detection, and fall back plans. The last thing you need is to have your AI backed IT policy fail without warning.