On-demand webinar

Enterprise Security & AI: How to Innovate Safely

Security is at the forefront of everyone's mind - or at least it should be. From the death of third party cookies, to HIPAA, and Generative AI: companies are trying to understand how to keep data safe, secure, and compliant, all while still being able to deliver world-class digital experiences.

Interestingly, Gartner reports that 68% of executives believe the benefits of GenAI outweigh the risks. But maintaining security and veracity will be critical to mitigating the shortcomings of GenAI, including hallucinations and inaccuracies.

Watch this session to uncover how Coveo's security practice and philosophy keep your data and users safe - without compromising on innovation.

In this session we'll cover:

  • Secure by design: Coveo's approach to safeguarding data and privacy
  • Key security capabilities companies should be asking about - that need to be on your radar!
  • An exclusive look at our Generative AI product (plus how we solve for the 9 key challenges created by GenAI)
On-demand webinar

Enterprise Security & AI: How to Innovate Safely

Security is at the forefront of everyone's mind - or at least it should be. From the death of third party cookies, to HIPAA, and Generative AI: companies are trying to understand how to keep data safe, secure, and compliant, all while still being able to deliver world-class digital experiences.

Interestingly, Gartner reports that 68% of executives believe the benefits of GenAI outweigh the risks. But maintaining security and veracity will be critical to mitigating the shortcomings of GenAI, including hallucinations and inaccuracies.

Watch this session to uncover how Coveo's security practice and philosophy keep your data and users safe - without compromising on innovation.

In this session we'll cover:

  • Secure by design: Coveo's approach to safeguarding data and privacy
  • Key security capabilities companies should be asking about - that need to be on your radar!
  • An exclusive look at our Generative AI product (plus how we solve for the 9 key challenges created by GenAI)
Register to watch the video
Speakers

Get the latest insights from industry experts

Patricia Petit Liang
Platform Marketing

Make every experience relevant with Coveo

In today's tech landscape, few developments match the excitement of generative AI tools like ChatGPT. Executives, in particular, are deeply invested in understanding how these tools will shape the future of the workplace. According to Gartner, a significant 78% of executives believe that the benefits of this technology far outweigh any potential vulnerabilities.


However, it's evident that not all executives grasp the full extent of AI security risks or comprehend the potential costs associated with breaches. This lack of understanding extends to the availability of secure AI alternatives to popular language learning models (LLMs) like ChatGPT – alternatives that offer enterprises greater control over their data.


What Goes Into Secure AI System Development?


But what does it take to develop a secure AI system?


Before delving into the specifics of AI security, it's essential to consider an organization's broader cybersecurity responsibilities. Cybersecurity involves ensuring the detection of threats and safeguarding data against unauthorized access or use, whether from external hackers or internal breaches. Additionally, secure data must remain intact and free from damage, corruption, or misuse, necessitating secure systems for its collection, utilization, and storage.


Privacy is another critical aspect of data management, encompassing measures to preserve an individual's right to control how their data is used and shared. This entails respecting preferences for confidentiality and providing mechanisms for consent and clear privacy policies. 


Compliance with laws and internal policies further reinforces data protection efforts, ensuring that organizations meet legal requirements and avoid financial and reputational damage.


What Is a Secure AI Framework?


Considering the security implications of AI tools, it's clear that individual users may not always prioritize data security when utilizing platforms like ChatGPT for tasks such as brainstorming or presentations.


However, legal teams recognize the importance of balancing AI capability development with robust data handling practices to mitigate security risks effectively. The stakes are high, as the average cost of a data breach amounts to $4.5 million, encompassing both financial losses and damage to a brand's reputation.


Navigating the complexities of responsible AI safety requires a strategic approach, one exemplified by Coveo's "Secure By Design" mission. To learn more about building secure AI frameworks, watch our free, on-demand webinar.

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