Enkrypt AI provides a comprehensive platform for agentic AI security and compliance management. This platform continuously red teams AI models to detect hidden risks and automatically translates evolving policies into real-world protection guardrails. The system enables organizations to accelerate deployment by automating security processes while ensuring continuous protection against emerging threats.
Funding
$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NEFounders
Product
Problem
Organizations face increasing risks when deploying AI applications, including vulnerabilities to malicious attacks, privacy breaches, and compliance violations. Traditional security measures are often inadequate to address the unique challenges posed by large language models (LLMs) and other AI systems, leading to potential operational disruptions and reputational damage.
Solution
Enkrypt AI offers a comprehensive AI security platform that helps enterprises detect, remove, and monitor risks associated with AI applications. The platform uses Red Teaming techniques to proactively identify vulnerabilities in AI models and applications before deployment. It also provides customizable guardrails to mitigate risks such as data leakage, bias, toxicity, and hallucinations. Enkrypt AI's continuous monitoring capabilities offer real-time visibility into AI performance, cost savings, and potential threats, ensuring ongoing security and compliance. The platform supports various AI modalities, including text, image, and voice, and integrates with existing security frameworks like OWASP Top 10 for LLMs, NIST, and MITRE ATLAS.
Target Audience
Enkrypt AI targets enterprises across various industries, including finance, technology, life sciences, and insurance, that are deploying AI applications and need to ensure their security, compliance, and reliability.
Features
- Automated AI risk detection using domain-specific Red Teaming to simulate attack scenarios
- Customizable guardrails for input, output, and data ingestion to remove vulnerabilities in real-time
- Real-time monitoring of AI performance, cost savings, and potential threats
- LLM Safety Leaderboard to compare and select the most secure and performant models
- Support for multimodal AI applications, including text, image, and voice
- Compliance reporting that maps directly to global security frameworks like OWASP Top 10 for LLMs, NIST, and MITRE ATLAS
- Integrations with existing security information and event management (SIEM) and cloud access security broker (CASB) systems