How much does your establishment rely on artificial intelligence (AI) for its daily operations? While this modern technology drives innovation and efficiency, there is growing concern about shadow AI. Learn more about it here.

What Is Shadow AI?

Shadow AI is the use of artificial intelligence tools, applications, or services by employees or departments without formal approval or oversight from their organization’s IT or security teams. When your workforce secretly uses GenAI tools like ChatGPT, Claude, or Midjourney to save time and effort, it can lead to the following risks:

• Data exposure: Employees may enter trade secrets, client contracts, or personal information into public AI models with weaker data protections.
• Security vulnerabilities: AI tools that lack IT oversight can easily become a gateway for bugs, malware, and unauthorized access to internal systems.
• Compliance issues: Without specialists vetting these applications, companies risk violating contractual obligations and data protection regulations, like GDPR and HIPAA.
• Poor information integrity: Unsupervised AI use may produce biased or false information, which, when used in business decisions or critical processes, can damage a company’s reputation.

Workers Are Taking Risks Just To Meet Deadlines

According to a recent BlackFog study, most (86%) employees use AI for weekly operations, and three-fifths (58%) admit to favoring unapproved, publicly available applications over company-regulated ones.

Another enlightening finding is how many workers believe they’re not doing anything wrong. Around 65% think it’s acceptable to use unvetted AI, and 60% agree it’s worth the risks as long as it helps meet quotas.

Ways To Lower the Business Risk of Shadow AI Adoption

How do you create a safer digital environment without hurting employee productivity? An outright ban will likely only push your staff to find creative workarounds and hide their activities.

More productive strategies include:

• Foster a culture of transparency: Why not transform the narrative from “catching violators” to “collaborating on security?” Encourage employees to report the tools they are using without fear of punishment.
• Build a clear framework: Develop an AI usage policy that defines permitted, forbidden, and approval-required tools. Employees may also appreciate an easy feedback process for relaying any inefficiencies in permitted programs or requesting new tools.
• Start a “shadow AI audit”: Use endpoint logs, network monitoring, and SaaS discovery tools to narrow down potential risks, especially in departments that handle sensitive information.
• Create technical controls: It never hurts to prepare for the worst-case scenario. Use intermediary interfaces to filter data, invest in data loss prevention (DLP) tools, and implement role-based access to more advanced AI tools.

Turning a Cybersecurity Threat Into an Opportunity for Growth

Around 33% of workers admit to sharing data or research on unapproved AI platforms, 37% have disclosed employee data, and 24% have shared sales or financial data. The last thing you want is to become a part of these growing statistics.

By tackling shadow AI proactively, businesses can turn a potential threat into a competitive advantage. Stay ahead by fostering transparency, safeguarding data, and empowering teams with clear AI guidelines.

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