Cybersecurity maturity is a continuously evolving journey, and we believe in a bottom-up approach where leadership focuses on enabling practitioners to collaborate and innovate.
The current model of cybersecurity services and products tend to be fractured and siloed and often do not lead to better cybersecurity outcomes. Our practitioners are incentivized to participate and engage in internal initiatives that anticipate emerging challenges and promote knowledge sharing and discovery to solve complex problems. This process forges stronger teams of well-rounded cyber professionals who deliver more impactful and transformative results to our clients.
Offer expertise in developing AI leadership structures, particularly around centralized oversight bodies and ethics frameworks for AI use.
Support agencies in developing data governance frameworks and standardized data collection and sharing practices.
Help agencies implement AI evaluation, testing, and assessment frameworks similar to FedRAMP, ensuring secure and efficient AI deployment.
We invested in the creation of a Secure Artificial Intelligence Lab aimed at assessing the current state of AI and Large Language Model (LLM) safeguards against adversarial vulnerabilities. We identified a zero-day vulnerability that enabled the bypassing of safeguards in a major AI cloud provider's platform. We responsibly disclosed the issue and collaborated closely with the provider to develop and implement a mitigation.
We developed a strategic roadmap and implemented a pilot Zero Trust Architecture (ZTA) cloud infrastructure with a foundation of Okta (Identity), Zscaler (Network), CrowdStrike (E DR) for a Federal Cabinet Level Agency.