INsights

Secure Generative AI: A Guide to Trusted Solutions

Generative AI is transforming industries, from automating repetitive tasks to creating personalised experiences. However, with innovation comes responsibility. Recent statistics reveal that 60% of employees planning to use generative AI (GenAI) don’t know how to do so securely, while 78% of AI users are bringing their own AI tools to work (BYOAI). This challenge is even more pronounced in small and medium-sized businesses, where the BYOAI rate climbs to 80%.

For organisations, especially those operating in regulated sectors, these statistics should raise alarms. Businesses handling sensitive client and institutional data face a critical challenge: how to leverage generative AI’s potential while ensuring security and compliance. Here, we explore why secure AI matters and how Kalisa - the secure generative AI platform, provides a trusted solution.

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The Hidden Risks of Unsecure Generative AI

In regulated industries, data breaches or compliance failures can have severe repercussions:

Data Sensitivity: Organisations such as law firms, consulting agencies, and universities manage personal, financial, or intellectual property data. Any mismanagement could lead to breaches of confidentiality or regulatory penalties.
Shadow AI Usage: The rise of BYOAI introduces unapproved AI tools that could compromise organisational security. Employees using unauthorised applications risk exposing sensitive information to external systems.
Misinformation Generation: Public GenAI tools can produce misleading or false content, undermining your organisation’s credibility and potentially leading to reputational harm.
Compliance Complexities: Businesses operating under strict data protection laws, such as GDPR in Europe or FERPA in the US, face challenges in ensuring their AI tools align with regulatory requirements.

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Real-World Incidents Highlight the Risks

Samsung Data Leak via ChatGPT

In May 2023, Samsung faced a significant data breach when an employee inadvertently uploaded sensitive internal source code to ChatGPT for review. This incident prompted Samsung to ban the use of generative AI tools across the company to prevent future leaks, reflecting growing concerns about data privacy and security in corporate environments.

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Amazon's Warning to Employees

In January 2023, Amazon warned its employees against sharing confidential information with ChatGPT after discovering that some responses from the AI closely resembled sensitive company data. This raised alarms about the potential for generative AI models to inadvertently expose proprietary information, leading Amazon to issue strict guidelines on data sharing.

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Data Exfiltration via Slack AI

In August 2024, researchers demonstrated that Slack's AI could be manipulated into leaking data from private channels through prompt injection techniques. This incident underscored vulnerabilities in AI integrations within workplace communication tools and highlighted the risks of unintentional data exposure.

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Kalisa: A Secure Generative AI Platform for Your Needs

Kalisa is built with a singular focus: enabling organisations to harness the power of generative AI without compromising data security. With Kalisa, you can seamlessly:

Transform your expertise into personalised experiences for your clients and team.
Deploy intelligent GenAI chat agents that embody your subject-matter expertise.
Automate complex business workflows
Empower your team with collaborative AI workspaces, all securely managed.
Safely combine private and public data
Use our API designed to fit seamlessly into your existing infrastructure

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1. Data Security by Design

Kalisa prioritises secure architecture, ensuring all interactions and workflows remain confidential. Unlike generic AI tools, Kalisa never trains its systems on your information. This ensures your insights stay yours, protected and uncompromised.

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2. Institutional Knowledge Management

The platform allows organisations to leverage their own trusted data sources. Whether creating automated workflows or developing intelligent virtual agents, Kalisa ensures that AI applications are grounded in verified, secure data.

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3. Mitigating AI Hallucinations

A key differentiator for Kalisa is its focus on minimising hallucinations in AI outputs. Traditional AI systems can occasionally generate inaccurate or misleading information, a significant risk in sectors reliant on precision. Kalisa only uses your institutional knowledge and expertise and combines it with selective external sources that you control - without compromising privacy or compliance.

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4. Compliance-Ready AI

Kalisa is compliant with major data protection regulations, including GDPR and UK-specific privacy laws, ensuring peace of mind when handling both personal and business data.

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5. Ease of Use for All Teams

You don’t need technical expertise to unlock Kalisa’s potential. With intuitive interfaces, employees can securely automate processes or develop AI-driven insights, reducing reliance on unapproved tools.

Kalisa exemplifies how AI can be both secure and transformative. By addressing concerns over data security, it provides a foundation for organisations to innovate confidently. As businesses continue to navigate the complexities of AI adoption, Kalisa stands as a trusted partner, ensuring your journey is seamless and secure.

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