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In the rapidly evolving landscape of generative AI, CalypsoAI stands out as a leader in ensuring the security and integrity of large language models (LLMs) and AI agents.

CalypsoAI is recognized as a Sample Vendor for the Secure Generative Communication for LLMs and AI Agents market in the 2024 Gartner® Emerging Tech: Secure Generative Communication for LLMs and AI Agents report.1

Understanding the Security Challenges

The integration of externally hosted LLMs into generative AI applications has become a standard practice due to their powerful capabilities and perceived benefits. However, this practice introduces significant security risks, particularly when enterprises either do not have internal self-managed LLMs or need to route some requests to more capable external LLMs. These interactions expose enterprises to potential security breaches, emphasizing the need for robust security measures.

Key Security Risks and Mitigation Strategies

The report identifies several key security risks associated with generative AI, including:

  1. Sensitive Data Leakage: Addressed through data masking, morphing, or tokenization to enhance privacy protection.
  2. Data Loss: Mitigated by implementing data loss prevention (DLP) measures to maintain data confidentiality and integrity.
  3. Vulnerable APIs: Secured by deploying API security solutions, including natural language analytics and filters for API payloads.

Among other leading providers, CalypsoAI is recognized for their capabilities in mitigating these risks.

CalypsoAI’s Leadership in AI Security

CalypsoAI’s approach to securing generative AI applications involves the deployment of security guardrails for LLM prompts and the establishment of GenAI security gateways or firewalls within the data path. These measures ensure that communication between internal and external AI services is protected, filtering prompts and data to safeguard against potential threats.

Additionally, CalypsoAI is at the forefront of addressing the emerging risks in AI agents’ cross-organizational communication. AI agents, designed to operate autonomously and interact with external tools, introduce new security vulnerabilities. CalypsoAI’s solutions include advanced threat detection, data masking, and the enforcement of geo-location and IP address restrictions for APIs, ensuring a secure environment for AI agent collaboration. Learn more about the CalypsoAI platform here.

Next Steps

The report outlines critical recommendations for product leaders in the next six to eighteen months, emphasizing the need for:

  • Developing security products that can filter and enforce AI agents’ communications.
  • Participating in the creation of new AI agent communication standards.
  • Advancing technologies in topical filtering, role enforcement, and contextualized AI agent behavior.

As generative AI technologies continue to evolve and integrate more deeply into enterprise operations, the role of security becomes paramount. By addressing the complex challenges of securing LLMs and AI agents, CalypsoAI is not only safeguarding current applications but also setting the standard for future developments in AI security.

CalypsoAI’s leadership and expertise ensure that as enterprises adopt and deploy advanced AI technologies, they can do so with confidence, knowing that their data and operations are protected against emerging threats. This commitment to security underscores CalypsoAI’s pivotal role in shaping a secure and resilient future for generative AI.

Ready to learn more about how CalypsoAI can shape a secure and resilient future for your company? Request a demo today!

For more details on the security strategies and technologies discussed, refer to the full report “Emerging Tech: Secure Generative Communication for LLMs and AI Agents.”

1 Gartner, Emerging Tech: Secure Generative Communication for LLMs and AI Agents, 12 June 2024.

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