adminToday more than 9 billion devices potentially utilize Artificial Intelligence (AI) and the Internet of Things (IoT). No enterprise or individual is untouched by the influence of these latest technologies. They are using it through their smartphones, applications, cloud services, sensors, RFID systems, and various other means. These unparalleled opportunities are skyrocketing business operations and constructing deep customer relations.
But all these benefits come with a situation that every business needs to address appropriately. Many business owners and executives prioritize customer privacy and security while utilizing exceptional opportunities of AI and IoT, and all this is possible through CIAM.
CIAM to Maximize Business Value
CIAM, Customer Identity and Access Management, is a sub-category of identity and Access Management (IAM)that aids in improving customer experience and security concurrently. CIAM integrates digital identity-based authorization with authentication to customer-facing applications. Businesses can opt for CIAM solutions either on-premises or as-a-service. They can cause it through interconnected identity APIs on web services and applications.
As per IBM Security, today, about 80 per cent of organizations are facing security breaches, and they stated that cybercriminals targeted customers’ personally identifiable information that is PII.
As per them, a compromised security breach on average costs approx $150 per customer. Thus, management is an essential security measure every business should add. There are four primary things CIAM does when implemented.
- It facilitates customized authentication mechanisms for enterprises and their customers.
- It improves the customer registration and login experience by reducing the risk of a data breach or account hacking.
- It generates scalability regardless of the customer headcounts.
- It Impacts AI and IoT amid expanding Security and Privacy Demand.
We all know that AI and IoT will be flowering in the coming decades. Businesses are trying to utilize these technologies properly to improve business techniques and methods. IoT promises to produce new mechanisms that can streamline business operations and boost customer experiences with the increasing business workload and hiking competition.
On the other side, AI is carrying a revolutionary change in time-consuming and tiring manual jobs by automating systems. It can also extract insight from granular customer data to enhance business efficiencies and create better customer engagement opportunities.
AI and IoT are the leading technologies that support modern business. However, these come with the concern of data privacy and security. Collecting and processing data using modern technologies might compromise customers’ privacy. But organizations that respect customers loyalty and trust use essential privacy protection techniques. Organizations can raise their standards and services from their competitors by benefiting from CIAM and privacy maintaining management systems.
Security and Privacy Challenges arising from AI and IoT:
Most progressive organizations need AI and IoT to expand and know the growing sensitivity of customer data privacy. Regardless, the dawn of AI and IoT drags in security and privacy challenges jiggling user trust.
IoT Security Challenges
With increasing IoT system connection, evolution, and expansion across any industry or organization, it becomes challenging to keep data and communication safe and secure. IoT is still in the blooming stage, along with its communication protocols. Business executives and customers find it challenging and problem-alluring to benefit IoT systems due to internet-based software attacks, authentification flaws, network-driven attacks and hardware attacks.
Connecting Data in AI and IoT systems
Organizations struggle with growing pains in adopting these technologies because of privacy reasons. IoT devices are implemented in sensitive areas like the healthcare, pharmaceutical and finance industries. Without securing the authentication of employees and customers, the entire system data and privacy could face significant risk. Thus, it is essential to ensure the security of an organization’s and its customer’s data while churning the best AI and IoT.
Inadequate User Experience with Conventional Security Tools
In IoT, user experience is highly non-interactive. Customizing IoT systems for excellent user experience without compromising security and privacy is complicated in legacy systems. The authentification mechanism in IoT devices does not provide a user experience. Lack of user experience affects the business value of AI and IoT-driven systems.
Disadvantages of Legacy Security Measures
An organization that use AI and IoT systems deploy security and privacy controls to mitigate the challenges mentioned above. There is no doubt that these legacy security measures can reduce data breaches, identity leaks and control access management but at the cost of lowering the potential of AI and IoT. They might mislead that adopting AI and IoT technologies are unsafe or risky.
As per a report, senior executives and managers are concerned that AI and IoT might expose customers and employees to strict privacy, ultimately reducing the potential of AI and IoT usage in the future. These hurdles will sustain for a long time until organizations switch from legacy security approaches to CIAM solutions.
Advance CIAM solutions enables AI and IoT integration without hammering user privacy, security, and user experience. Organizations can leverage CIAM solutions that align with the business guidelines yet provide cybersecurity and privacy protection while customers interact with IoT devices or AI-enabled systems.
Integrating CIAM Enabled AI and IoT
Security researchers and CIAM providers support customer identity and access control solutions while dealing with IoT and AI-driven systems. Such effective solutions help manage the challenges of governing, managing, safeguarding customers’ access to sensitive data. CIAM is necessary to balance AI and IoT-driven organizations with customer identity management. CIAM solutions double-shield the security by facilitating MFA, SSO, social identity-based login, PIN, etc.
CIAM solutions also have classically-minted IoT authentication methods and AI-based intelligent login procedures that enhance user experience that help in strong protection upon account takeover and data privacy without negotiating with user experience.
CIAM can provide tracking user consent, understanding and logging activities and helps in recognizing user preference at a granular level. It prioritizes customer privacy and security while generating a rich user experience in these static devices. It also aids businesses in deploying successful AI and IoT solutions.
Aligning Solutions
Organizations can manage or align CIAM solutions as per business policies. It can even analyze data extracted by AI or IoT sensors using predictive models while clearing privacy hurdles. It also emphasizes eliminating and removing data on demand when any customer ends the service or relationship.
Here are some essential points that the CIAM solution displays at an enterprise level.
Adopting Solutions
Today organizations are embracing CIAM solutions. These CIAM solutions offer different authentication techniques and measures like two-factor authentication, social media identity as login, biometrics login etc. Furthermore, the CIAM solutions also provide the service of employee identity and access management (IAM).
Maturing
The maturity of CIAM solutions assists organizations in deploying AI and IoT systems without concern. Advance CIAM solutions have direct measures addressing AI and IoT-specific security concerns. Reports state that organizations using advanced and matured CIAM solutions are 33 per cent more potential to implement plans in deploying AI and IoT than organizations with low CIAM maturity.
Advancing
Advanced CIAM solutions allow organizations to overcome AI and IoT-related security challenges. As per reports, organizations having mature CIAM solutions are 26 per cent to 46 per cent more feasible to overwhelm AI and IoT-driven security issues.
Deploying
Deploying mature CIAM solutions supports the security teams to draft a solid plan. Organizations with progressive CIAM solutions are 20-52 per cent more potential to boost business value without impacting the user experience or privacy. Besides this, these solutions also minimize customer data breaches and produce insights from the granular data they gather.
Artificial Intelligence has different building blocks like Machine Learning (ML) and Natural Language Processing (NLP). Although AI can generate a range of insights into several CIAM processes, the start of CIAM systems requires organizational knowledge, policy setup and human interaction to gain value from AI.
IoT sensors and devices capture an immense amount of data, including device location and even status. Such data are primarily stored in cloud-based servers. The scalability and distributed data from IoT devices increase data mishandling. Such data breaches also cause corrupt authentication. Organizations can use CIAM solutions for better authentication, regulatory data collection, and compliance in such cases.
Running on Automation
Today, almost all industries have adopted automation, which means most things operate through AI and IoT. Business owners and executives interested in utilizing IoT and AI in full potential take precautions about customer data security and privacy without negotiating with user experience. Organizations must employ mature Customer Identity and Access Management solutions to integrate smart authentication and authorization. These CIAM systems offer omnichannel interactions and authentication along with track while managing granular user consent, preferences, and activities.