Copyright Infringement

—Audio Generators can be trained on data sets of existing music and sound effects that can include copyrighted materials. This can lead to generated outputs that reproduce copyrighted material.

Data Privacy

—Audio Generators can recreate an individual's voice, speech patterns, or other identifiable audio characteristics without consent, which poses privacy risks.

Exposure of Sensitive Information

—Audio Generators can receive audio as an input that can contain proprietary or sensitive information. By providing this proprietary or sensitive data as an input, you risk that data being used to train the GenAI app, which may then be exposed to users outside of your organization.

Malicious Prompting

—Bad actors can exploit Conversational Agents by crafting and injecting indirect prompts that could exfiltrate sensitive information.

Exposure of Sensitive Information

—Conversational Agents are trained on user shared data. If you share data with sensitive information, it might inadvertently be exposed to other users through the Conversational Agent's responses.

Insecure Plugin Configurations

—Some Conversational Agents allow launching plugins that enable interaction with external applications and services but might have an insecure configuration. This significantly increases your attack surface and weakens your security posture.

Hallucinations, Bias, and Ethical Concerns

—Conversational Agents can generate biased, inaccurate, or misleading information.

Security Vulnerabilities

—Code generated by a Code Assistant & Generator could contain flaws, vulnerabilities, or malware that could be exploited thereby compromising application security.

Intellectual Property Violations

—Code generated by models trained on public repositories could violate licenses or reproduce copyrighted code.

Exposure of Sensitive Information

—Code Assistant & Generators might leak your priority algorithms because you're training a third-party model on your code.

Exposure of Sensitive Information

—Fine-tuning large language models (LLM) often requires training them with proprietary data. A security breach or unauthorized access could lead to severe data leaks.

Data Privacy and Security

—Enterprise Searches have access to a wide range of sensitive data of the organization by design. A security breach or unauthorized access could lead to severe data leaks.

Malicious Prompting

—Bad actors can exploit these Enterprise Searches by crafting and injecting indirect prompts that could exfiltrate sensitive information.

Copyright Infringement

—Image Editor & Generators can be trained on copyrighted image data, potentially leading to generated content that violates intellectual property rights.

Deepfake Misuse

— Image Editor & Generators can be used to generate highly realistic deepfakes, which could be weaponized for misinformation campaigns.

Bias and Ethical Concerns

—Image Editor & Generators can generate content that can perpetuate societal biases, generating harmful and offensive content.

Privacy and Confidentiality Breaches

—You risk training Meeting Assistants on sensitive or proprietary information discussed during meetings. Additionally, they could store this data in their cloud environments that might not follow the best security standards.

Data Privacy and Security

—Productivity Assistants by design have access to a wide range of sensitive data of the organization. A security breach or unauthorized access could lead to severe data leaks.

Excessive Agency

—Productivity Assistants have integrations and might support multiple types of plugins and extensions that enable interaction with external applications and services but might have an insecure configuration. This significantly increases your attack surface and weakens your security posture.

Malicious Prompting

—Bad actors could exploit these assistants by crafting and injecting indirect prompts that could exfiltrate sensitive information.

Copyright Infringement

—Video Editor & Generators can be trained data sets of existing image or video data that can include copyrighted images and videos. This can lead to generated outputs that reproduce copyrighted material.

Deepfake Misuse

—Video Editors & Generators can be used to generate highly realistic deepfakes, which could be weaponized for misinformation campaigns.

Bias and Ethical Concerns

—Video Editor & Generators can generate content that can perpetuate societal biases, generating harmful and offensive content.

Plagiarism and Copyright Infringement

—Writing Assistants can be trained on data sets of existing text that can include copyrighted writing. This can lead to generated outputs that directly reproduce material without proper attribution.

Exposure of Sensitive Information

—Writing Assistants often have access to sensitive information such as proprietary documents, personal data, or confidential communications. A security breach or unauthorized access could lead to a severe data leak.

Bias and Ethical Concerns

—Writing Assistants can generate content that can perpetuate societal biases, generating harmful and offensive content.