Key Takeaways
Though they have great promise, artificial intelligence and other technologies must be carefully integrated to prevent unnoticed hazards.
To reduce data risks, lay a strong basis, evaluate cybersecurity and compliance, and apply strong security controls.
Perfect adoption and integration of technology depend on efficient planning and training.
Create proactive incident response strategies to control operations effects and handle cybersecurity events.
84% of business leaders say artificial intelligence and other technology provide them a competitive edge. Still, they usually ignore the related hazards. Let’s look at keeping a suitable equilibrium.
By automating labor-intensive jobs and providing data-generated insights, emerging technologies and artificial intelligence are transforming sectors. This potential motivates companies to pick up this technology fast.
Companies driven to embrace these potent technologies may overlook the underlying hazards. As they embrace new technologies, organizations must lay a strong foundation, evaluate any risks, expand on current procedures, and prepare for unanticipated obstacles.
Deciding the first actions when a company chooses to incorporate a new technology solution might prove difficult. Quick adoption of technology may cause one to ignore small problems that might become major ones including scalability challenges, access control, and unanticipated results. On the other hand, overly long delays might undermine the advantages of these instruments by negating efficiency and adding opportunity losses.
Not every problem has quick answers for a leader. Rather, essential elements must be carefully considered like regulatory compliance and cybersecurity. Organizations may not be completely aware of particular needs as security and compliance needs change along with technology developments. Still, there are numerous best practices one may follow to be ready for the arrival of artificial intelligence standards:
Organizations have to address the present hazards in their operational environments as they change to fit changing rules and increased security requirements. Though it is also a prime target for cybercriminals and other hostile actors, data is the fundamental basis for artificial intelligence and developing technology. Ensuring data accessibility for valid stakeholders and systems while using strong security measures presents a major difficulty for companies.
Starting good risk management means implementing accepted control frameworks including ISO 27001, NIST CSF, or NIST 800-53. By helping to evaluate data storage locations and behavior, these cybersecurity systems improve security policies all over the company. Using a secure, cloud-based environment helps protect data, provides necessary access for required systems and individuals, and keeps data from being isolated in sensitive sites like local desktop computers or outside drives.
To safeguard sensitive data, businesses must implement stringent controls that restrict access to authorized people and software. Many organizations are familiar with the principles “least privilege” and “zero trust,” which dictate that access to information resources is granted solely based on necessity. AI technologies exacerbate these dynamics and need for increasingly complex control systems.
Emphasizing the need of high-quality, relevant data for its operations, artificial intelligence runs as efficiently as the data it analyzes. Should artificial intelligence systems access or examine pointless or erroneous data, the subsequent outputs may be faulty. Such mistakes could compromise compliance reports and influence decisions, therefore having negative effects.
Moreover, including outside programs adds extra complexity. Working with outside organizations sometimes calls for sharing access to particular data and systems needed for their operations. Like internal procedures, companies must make sure that outside vendors only have access to the data they actually need, therefore preserving strict control to guard organizational integrity and compliance.
Although security issues and proper preparedness are fundamental, the acceptance of new technology might nevertheless provide difficulties. Even if some artificial intelligence and software solutions could fit current procedures, companies should make sure stakeholders and users receive extensive training all through the deployment process. Training methods and policy adaptation help to simplify the integration of new technology.
Companies with well-established data management and control systems fit for artificial intelligence uses usually have information security and data classification and handling policies. Should these already-existing systems be in place, they can be expanded to incorporate fresh technology installations. On the other hand, companies may have to create and apply fresh rules and initiatives for their teams to guarantee appropriate handling and security should a safe data handling system not yet be developed.
Systems integration is critical when introducing new software, particularly as it relates to a comprehensive data strategy. Effective data governance is essential for managing data-driven technology, but compatibility with existing systems cannot be assumed. IT teams must conduct tests and operations to confirm that legacy systems function well with new software additions. This proactive approach not only supports your data strategy but also helps find any inefficiencies and security issues, thereby guaranteeing a better integration of new technologies inside the current infrastructure.
Emerging technologies provide not only unknown hazards but also unrealized promise. In today’s environment, it is not a question of whether a cybersecurity incident will occur, but when. Despite the rise of novel and unprecedented cyber threats, organizations can effectively prepare for potential breaches.
Developing a comprehensive, proactive incident response plan is crucial for managing the disruption following a cybersecurity incident. This strategy should precisely specify the duties and obligations of people and groups as well as the required actions teams and individuals should follow should a breach occur. Furthermore included in the strategy should be procedures for open and efficient incident communication both inside the company and outside to clients and the public. This strategic readiness increases the organization’s resilience against upcoming disruptions and helps to lessen the operational and reputation effects of cyber threats.
For companies, emerging technologies and artificial intelligence provide hope since they have several advantages that might change processes. Companies must, therefore, balance their excitement with a methodical approach in the haste to embrace these innovations. Not wise is an all-or-nothing approach. Rather, artificial intelligence and other new technologies should be used gradually, beginning with small-scale initiatives to evaluate success and integration difficulties before a complete organizational rollout.
Organizations can maximize the benefits of creative ideas by using current operational processes and evaluating how new technology might improve these practices, therefore preventing any losses. This thorough, deliberate approach helps to guarantee that technological developments benefit the company without upsetting accepted systems and procedures and adding pointless risk.
Working with LBMC will help you to confidently negotiate this new ground as your company investigates the fascinating possibilities of artificial intelligence and new technology. Our knowledgeable teams are ready to customize security solutions that safeguard and improve your technical assets; they are also adept in cybersecurity frameworks such NIST, ISO 27001, and SOC.
With LBMC, your venture into innovative technologies is grounded in proven expertise and comprehensive risk management strategies, ensuring that your business not only survives but thrives in the digital age. Let LBMC guide you through every step of your technological evolution, securing your operations and fostering sustainable growth.
Content provided by LBMC Senior Manager, Brian Willis. He can be reached at brian.willis@lbmc.com or by phone at 615-309-2607.
Brian Willis is an information security consultant, auditor, and analyst with over 25 years’ experience in diverse technology roles. From his beginnings as a systems analyst in small manufacturing environments Brian has at one time or another, and often at the same time, served as network engineer, client/server administrator, help desk technician, pen tester, and compliance manager. Leveraging his managerial and administrative experience with his knowledge of regulatory compliance and security principals, Brian delivers practical guidance to his clients to ensure they achieve their goals and add value to their organizations. Brian has been a PCI Qualified Security Assessor for over 15 years, leading assessments in the food service, retail, healthcare, insurance, and payment system sectors.
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