Based on the continually changing nature of technology and evergreen opportunities for content creation, content security can never be stagnant. It should be seen as a translational target in the global digital age.
Nothing makes this more relevant than the nature and dimension of cybersecurity threats as well as the need for digitized responses needed for trust and loyalty-building that are continually in a state of transformation as we transcend the radically changing digital workplace.
However, the good news is that AI has come to secure your content at all endpoints.
The security of your content commences by first securing access to any shared repository, from there you move on to particular folders, and lastly, to individual files stored within it. Your brand’s content management system(CMS) should customarily have in place security features and functions for maintaining access controls, this will ensure that only authenticated people and groups will have the authorization to access specified files.
Implementing content-based security means you have enshrined a protection perimeter that will guard certain tasks that are carried out on your network, which could include who has the right to view, edit, email, download or print a piece of content. It can also go on to indicate a time limit to the given access rights and permissions.
If you are able to ensure team collaboration, you will be encouraging the impromptu distribution of messages, documents, images, and other kinds of content within a default workgroup, along the same line, you will have effected a non-access to intruders.
Securing your content through these means is decisive and you will be able to protect your content against fated threats. You can easily compare this to the act of locking valuable items inside physical filing cabinets whereby, only people with the right keys can access them.
Advancement in technology has rendered it absolutely necessary that a greater degree of intelligence and intuition must be extended to today’s digital workplace, this is due to the increasing number of endpoints that are manifesting. You, therefore, need to incorporate cloud services to power content security and secure it within the digital experience.
Notwithstanding if your content itself is at rest or in motion. AI is able to heighten content security by managing content in context, as well as identifying unusual patterns to the flow of content across the enterprise.
You can’t overemphasize the importance of your enterprise information architecture whereby you deploy machine learning algorithms for well-defined categories. It’s a well-known fact that semantic modeling, which you can enable through a cycle of metadata enrichment, will go a long way in improving the results of machine learning.
Within your digital workplace, the assured means of protecting content is to ensure that core information assets are prioritized based on their different categories for starters. You can’t afford to cut corners, you absolutely cannot build content security without a strong foundation.
This makes a strong case for a solid framework, inasmuch as you don’t want details to slip through cracks you may unwittingly create which will ultimately cause problems for you later on. The fact remains that you can use AI tools to strengthen your brand’s security, however, this revolves around your being able to ensure a structured framework, otherwise, you won’t be able to optimize AI tools to their full potentials.
The deployment of AI to achieve content security is based on its inherent capabilities to observe data flows and identify aberrations. However, the basal framework is essentially an operational concern, cognizance needs to be first taken on how networks and systems are run both on-premises and in the cloud.
If you are able to handle these sources of concern and potential danger, you can then proceed to apply AI tools and technologies in the management of the monotonous and time-consuming chores that border on continuously monitoring and sensing inherent menaces.
Mode of operation
You just don’t dabble into the deployment of AI for content security, you need to thoroughly understand your brand’s mode of operation, which revolve around specific strategies, methods, and operational-level business dictates. Time and effort are of the essence and you must invest enough of both for absolute comprehension of these operational activities.
You also need to put in place an unambiguous and explicit means of enhancing a secure flow of content across the length and breadth of your enterprise. It will be of immense benefit to the brand if you carry out a security audit that will assess the capabilities of your existing system as well as the network-level services.
Unsecured endpoints like mobile devices and web browsers can be your source of vulnerabilities to end-to-end (E2E) content flows, therefore, you need to check them. You need to be aware that there are compliance, risk management, and corporate governance concerns that pertain to content security which you must adhere to.
As a brand, you must have been relying on your business processes to guarantee the availability, usability, appropriateness, probity, and security of the information you collect and maintain to operate your business. It’s, therefore, to your own advantage if you are able to classify business content in a methodical mode that takes into cognizance their degree of sensitivity and the attendant business risk, that will ensure you have the right operational processes in place in order to keep these designations up to date.
To become a data-savvy organization, your data stewards must have clearly defined and well-spelled out operational roles. Their main duty is to ascertain the compliance by all employees of the data governance processes while at the same time enforcing laid down guidelines when handling structured data within databases.
Your content stewards should have similar roles implementing procedures relevant to documents, email messages, digital assets, and other kinds of digitized data that you manage within your content repositories. They also should be able to follow E2E content flows for quick identification of vulnerable business documents and outline the risks that innovative security technologies can take care of.
Observing red flags
You must also take into consideration red flags for content security. It’s no longer enough for organizations to rely on conventional ways of securing content managed with shared repositories which include identity management, authorization, and access controls.
The more you allow your employees to connect to devices processes, and BYOD in the enterprise, the more you add to the security risks, whereas, AI in content security should be able to save you all these problems.
How will AI make the difference?
The application of AI to content security may be said to be in the early stages but the fact is that AI tools being powered by machine learning, natural language processing, and ultimately, image recognition algorithms will go a long way to ensure content security as it was never known before now. Having the mindset to make these inferencing capabilities to become more intelligent with the addition of advanced algorithms, you must define all your operational activities and their relationship to content security.
Every aspect of your operational activities must work in tandem with security technologies. And this is more so since content security is dependent on smart categories.
As you go about developing your enterprise information architecture, make sure you have made provision for metadata to enhance governance and content security. With AI tools, you will be in good stead to accurately monitor fixated signals regarding the safety of content flows.