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Preparing Your Business for AI Adoption
The year 2024 has been monumental for AI. A growing number of organizations are integrating AI into their business workflows, and with a whopping 75% of knowledge workers using AI at work today, the benefits are getting attention. Unfortunately, many organizations don’t have the visibility needed to prevent sensitive data from going to unsanctioned places. Some organizations are reacting out of fear, with approximately 48 percent blocking AI entirely. Even if your organization hasn’t yet adopted or deployed AI at the enterprise level, your employees are actively bringing their own AI tools to work today.
AI Risk Assessment
AI Unified Framework
AI introduces several security vulnerabilities, such as leakage and compliance risks. Ignoring the assessment of AI risk may lead to unexpected reversals in operations, along with huge losses in terms of money or data. That is why it is crucial to have an AI Framework and security roadmap before moving ahead with any implementation. This can be done in parallel with Innovation. We recommend starting with a cybersecurity assessment along with a 4-week innovation sprint.
Recommended Solutions
Technology partnerships
Engage expert companies - such as CSP Global and their AI delivery partner - and find ways to get the most out of your technology investments. Make sure you consider device, data and endpoint security, and look at options for SLA support around the clock before implementing AI products. Your partner should be able to find Shadow AI in your organization and help create AI fair use policies.
AI Adoption
Develop strategic aims and the capacity to continually report on achieved outcomes. Begin with the “art of the possible”, our free AI education session. Then, move into a more intensive sprint involving key stakeholders and get into the weeds with high impact areas/use cases, aimed at your specific business objectives.
Device Management and Monitoring
Endpoint Security and Monitoring
AI systems often handle sensitive data, making them attractive targets for cyberattacks. Effective device management and security monitoring help ensure that all devices accessing AI systems are secure and compliant with regulatory standards. AI can introduce new vulnerabilities and attack surfaces. By maintaining strong security monitoring, organizations can detect and mitigate potential threats early, reducing the risk of data breaches and other security incidents.
Ongoing Monitoring
Perform ongoing monitoring of the data access and usage of AI to prevent data leakage and non-compliant activities.
Centralized Device Management
In more than 90% of cases where attacks progressed to ransom stage, the attacker had leveraged unmanaged devices in the network. Ensure only compliant and corporate-managed devices can access your resources. This also improves the end user experience.
Recommended Solutions
Microsoft Intune
This helps in managing everything centrally so that policies keep the devices secure, minimizing the risk of vulnerabilities. It also allows for remote management, updating of policies, standardization, and compliance, across a distributed ecosystem.
Microsoft Sentinel
This is real-time threat detection providing deep visibility into AI systems. Sentinel will neatly integrate with existing infrastructure, offering enriching analytics and reporting.
Governance and Compliance
Frameworks and Data Security
The Zero Trust model forms a crucial foundation for the use of AI in the corporate context. In an era where data is both a valuable resource and a potential security risk, Zero Trust’s “never trust, always verify” philosophy guarantees the security and integrity of data. This minimizes the risk of unauthorized access and data breaches. It is essential to store, manage and categorise your data effectively and prevent unintended access to sensitive information. This includes revoking outdated permissions, identifying and protecting sensitive data, and monitoring for anomalies and potential risks.
Data Governance
Classify and protect data with the help of solutions like Microsoft Purview, which make this entire operation compliant.
Data Optimization
Revise access rights to data, classify data according to sensitivity, and eliminate permissions on data that are no longer current.
Recommended Solutions
Data Optimization
More than 80% of business executives believe data leakage is among the biggest threats. Powered by advanced AI, Data Optimization is the next generation of information lifecycle management allowing you to have complete control from creation to archive through a central interface. Successfully govern by deleting or retaining ROT data (Redundant, Obsolete and Trivial) before introducing AI into your environment.
Microsoft Purview
This tool offers end-to-end governance by automating data labelling and classification across systems. It helps organizations stay compliant with evolving regulations while managing sensitive data efficiently.
Building an AI-Ready Culture
McKinsey has produced a report for 2024 revealing that 78% of employees are deploying AI applications intelligently to improve performance despite no official culture supporting it. Organisations that return to structured Artificial Intelligence training and development increase tool use by 63% translating to a 42% increase in productivity. AI parity entails practising acts of skill in maintaining conducive conditions for AI whereby 67% of the firms attributed improved cross-functional collaboration as one of the impacts of AI.
Businesses that go through a systematic approach in AI application gain 35% improvement in implementation and 40% fewer problems in compliance. AI preparedness investments in the early stages contribute to operation cost savings of up to 20% along with business responsiveness of up to 25% more, thus leading to a sustainable competitive advantage.