Our Work
Here, we showcase the success stories of our clients and how they have achieved remarkable results with the help of our innovative people-led products: HOPs, SCIPs, and Jumps. Explore these real-world examples to see how our solutions have transformed businesses, optimized operations, and driven growth.
Building a Global Security Operations Center (GSOC)
Challenge: Our client, a small to medium-sized business (SMB) primarily focused on physical security, aimed to establish a GSOC. Their biggest challenge was the limited technology experience required to integrate and manage data from multiple sources in real-time. They needed a comprehensive plan to assess the feasibility of building a GSOC and navigate their technological limitations.
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Feasibility and Risk Assessment: Evaluated the feasibility of the GSOC, identifying key roadblocks, discussing potential risks and challenges, and formulating strategies to mitigate them.
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Pilot Program Design: Developed a pilot program with a narrowed scope of capabilities that the client could implement initially. The design was modular, allowing for future expansion as the client grew more comfortable with the technology.
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Stakeholder Engagement and Partnerships: Involved key stakeholders early in the planning phase to secure buy-in and support. Many of these external stakeholders became potential partners interested in building a data-sharing system with the GSOC, with one partner even developing a prototype product addressing some of the client's specific needs within a week of the HOP.
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In addition to the HOPs, the client also brought on one of our Associate Catalysts to Jump into the early implementation of their GSOC's data analysis. To address the client's needs and capabilities identified during our HOPs, the Associate Catalyst developed a dashboard to analyze the existing security officer reports that the client uses and paved the way for incorporating additional data into the their GSOC.
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Solution: We facilitated multiple HOPs to address their concerns and lay a solid foundation for the GSOC.
Our approach included:
Impact: The collaborative HOPs not only helped the client develop a plan to overcome their technological hurdles but also positioned them as a forward-thinking security firm capable of integrating advanced data analytics into their operations. The GSOC pilot program and dashboard also marked a significant step toward enhancing their security capabilities and expanding their service offerings.
AI Policy for Government Agencies
Challenge: A local government agency needed a policy governing the use of generative AI and Large Language Models (LLMs) by their employees. Their primary concerns were data privacy and security, as they handle Personally Identifiable Information (PII) and HIPAA-regulated data. The policy needed to ensure that AI tools could be used without compromising sensitive data, especially since many AI models process prompts over the internet and use them for training.
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Primary Concerns Identification: Conducted a HOP to focus on the agency's primary concerns regarding AI use, particularly around data privacy and security.
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Use Cases and User Personas: Identified relevant use cases and user personas to incorporate into the AI Policy, ensuring the policy was practical and comprehensive.
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Stakeholder Engagement: Involved relevant stakeholders to secure buy-in and support for the AI Policy, particularly involving different departments within the agency that would be impacted by the policy.
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Comprehensive AI Policy: Using the results of the HOP, developed an AI Policy outlining how and when employees can use AI tools, ensuring compliance with data privacy and security regulations laid out by the NIST Cybersecurity Framework.
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Solution: We facilitated a HOP to determine the key areas the AI Policy needed to address, and then used the results of the HOP to create a tailored AI Policy for the agency.
Our approach for the HOP included:
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Impact: The collaborative HOP resulted in a well-defined AI Policy that addressed the agency's specific data privacy and security concerns, providing clear guidelines for the use of AI tools. This approach ensured that the government agency could leverage AI technologies responsibly, allowing for continued innovation. The AI Policy also laid the groundwork for a subsequent SCIP with the agency, which is explored in the following Case Study.
Implementation Planning for AI Policy
Challenge: After designing the AI Policy for government agencies, we still needed to prove it was a viable policy for implementation. We had already identified their major use cases for AI during the HOP, but the AI Policy needed to be utilized in those use cases to demonstrate that it addressed their concerns while not being too restrictive.
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Department-Specific Implementation: Involved stakeholders from the Office of the Coroner and Medical Examiner to plan out a specific use case involving AI while adhering to the new policy.
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Use Case Focus: Assisted the department in planning how to use AI for data analysis and redacting personal information from records to expedite their work processes.
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Implementation Plan: Developed an implementation plan for creating a dashboard to meet these needs, ensuring compliance with the newly created AI Policy.
Solution: We facilitated a SCIP with one of the local government's departments, the Office of the Coroner and Medical Examiner, to showcase how an AI-related project could be implemented under the new policy.
Our approach for the SCIP included:
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Impact: The SCIP enabled the Office of the Coroner and Medical Examiner to plan an AI-driven solution for data analysis and redaction, enhancing efficiency while ensuring compliance with the new policy. Furthermore, this deep dive with a specific use case of the agency demonstrated that the AI Policy from the previous HOP was sound and did not impede AI projects within the local government.