But how can we ensure that our data is accurate and secure? Enter Ikigai Labs, an MIT-based startup that has created an AI Apps platform based on large graphical models (LGMs) and expert-in-the-loop (EiTL) technology. This platform allows for real-time inputs from experts and continuously learns to maximize AI-driven insights and expert knowledge.
Ikigai’s AI Apps are being used for supply chain optimization, retail, insurance, financial services, banking, and manufacturing, with the list of applications growing. The combination of LGM and EiTL technologies is proving effective in verifying identities based on the data captured in identity signatures, as well as continually fine-tuning LGM models based on integrating with as many sources of real-time data as are available across an organization.
The goal of Ikigai Labs is to enable rapid app and model development to improve cybersecurity resilience. Its AI infrastructure is designed to enable non-technical members of an organization to create apps and predictive models that can be scaled across their organizations immediately. With features like DeepMatch, DeepCast, and DeepPlan, Ikigai’s technology allows for advanced product features like EiTL, which improves model accuracy by incorporating human expertise.
In a world where cybersecurity threats are constantly evolving, it’s more important than ever to ensure that our data is accurate and secure. With Ikigai Labs’ innovative AI Apps platform, we can take a step towards achieving that goal.Ikigai Labs is revolutionizing the cybersecurity industry with its cutting-edge AI infrastructure and development of DeepMatch, DeepCast, and DeepPlan. These core elements of its LGM and EiTL technology stack have the potential to play a significant role in the future of XDR by providing deeper AI-driven predictive actions.
With the Ikigai platform, IT and security analysts can quickly create apps and predictive models to detect, analyze, and take action on threats in real-time. The platform captures and capitalizes on real-time data to help its AI apps spot cybersecurity threats. Additionally, Ikigai models continually learn from every potential risk, fine-tuning predictive modeling in their AI apps to alert companies to security threats before they cause damage.
Ikigai’s EiTL technology allows the system to learn from expert input in real-time, improving cybersecurity measures like MDR. MDR can detect and respond to threats better by letting AI learn from humans and vice versa. Furthermore, businesses can identify vulnerabilities and improve their cyber-defenses by simulating attack scenarios using DeepPlan, allowing strategic and tactical planning and making organizations more resilient against evolving cyber-threats.
