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Protect AI applications from runtime threats; Conduct risk-based red teaming for vulnerability management; Train teams on AI security best practices; Evaluate AI model security with risk index; Secure generative AI deployments in regulated environments.
Trusted by Fortune 500 companies; Backed by the world’s largest AI red team; Recognized in the 2024 Gartner Innovation Guide for Generative AI.
Lakera's go-to-market strategy reflects a hybrid model that integrates both product-led growth (PLG) and sales-led approaches. Upon visiting their website, it is evident that they prioritize user accessibility and engagement through a prominently featured "Start for free" option on the homepage. This indicates a strong emphasis on self-service signups, allowing potential users to experience the product without the friction of scheduling a demo or contacting sales initially.
The presence of a "Login" option in the header suggests that Lakera has an existing user base that can access the product directly, further supporting the notion of a PLG strategy. Their pricing page is transparent, showcasing options that likely cater to both small teams and larger enterprises, which indicates a flexible approach to market segmentation.
Customer testimonials on the site highlight successful implementations and the effectiveness of their solutions, suggesting that they have achieved some level of viral adoption within organizations. However, the availability of a demo booking option points to a structured sales process that is likely aimed at enterprise clients, where high-touch relationships and executive buy-in are crucial.
Additionally, Lakera invests in educational resources, including security guides and implementation documentation, which are indicative of a PLG strategy. These resources empower users to learn and utilize the product effectively, aligning with the self-service model.
Overall, Lakera's strategy appears to be designed for rapid user adoption and virality, while also accommodating the needs of larger organizations through a more traditional sales-led approach. This dual strategy allows them to cater to a diverse clientele, from startups to Fortune 500 companies, effectively positioning themselves in the competitive landscape of AI security solutions.
Lakera has reported two notable clients on their website: Dropbox and a Fortune 500 EdTech company.
Dropbox: Lakera secured Dropbox's generative AI innovations against prompt injection and jailbreak attacks using their Lakera Guard product. This integration helps protect user data and maintain the reliability of intelligent features within Dropbox's infrastructure.
Fortune 500 EdTech Company: This client has collaborated with Lakera to secure over 20 generative AI applications, including a high-profile tutoring app. The EdTech company sought a scalable AI security solution, and Lakera implemented its Guard dashboards to provide real-time security posture and vulnerability assessments. The VP of Security emphasized the necessity of using Lakera for any generative AI service.
These relationships highlight Lakera's focus on providing robust security solutions tailored to the needs of large organizations in the generative AI space.
Lakera's technology ecosystem, as derived from their job postings, includes a variety of programming languages, frameworks, infrastructure tools, and some insights into their operational practices.
Programming Languages:
Frameworks and Libraries:
Infrastructure and DevOps Tools:
Data Technologies:
Sales and Go-to-Market Technologies:
Overall, Lakera appears to favor established technologies that support their focus on AI security, with a clear inclination towards modern web development practices and robust infrastructure management.