CompliantLLM provides enterprises with an end-to-end compliance solution for large language model deployments. By integrating CompliantLLM’s SDK or API gateway, all LLM interactions are intercepted and evaluated against user-defined policies, including data privacy rules, industry-specific regulations, and corporate governance standards. Sensitive information is automatically redacted or masked, ensuring that protected data never leaves the organization. The platform generates immutable audit logs and visual dashboards, enabling compliance officers and security teams to monitor usage patterns, investigate potential violations, and produce detailed compliance reports. With customizable policy templates and role-based access control, CompliantLLM simplifies policy management, accelerates audit readiness, and reduces the risk of non-compliance in AI workflows.

Cyclops Security is an AI-driven cybersecurity platform designed to protect organizations from various threats. By continuously monitoring network traffic and analyzing patterns, it identifies potential vulnerabilities and responds to incidents in real-time. Its functionalities include threat detection, automated response mechanisms, and detailed analytics, ensuring that businesses can maintain robust security without overwhelming their teams with manual tasks.

Vicarius is an AI-powered cybersecurity platform focused on identifying, prioritizing, and remediating software vulnerabilities. It utilizes advanced detection algorithms to analyze a company's software environment, providing actionable insights and solutions. By automating the vulnerability management process, Vicarius allows organizations to proactively safeguard their digital assets and minimize risks associated with cyber threats.

EBI.AI offers an advanced AI assistant platform designed to streamline customer interactions and task automation across various industries. The solution integrates seamlessly with existing systems, ensuring smooth operations while maintaining high security standards. Businesses can benefit from increased operational efficiency, improved customer satisfaction, and significant cost savings. The platform is highly adaptable, catering to organizations of all sizes from SMEs to large enterprises.

Ostorlab leverages machine learning and automated scanning engines to perform end-to-end mobile app security assessments. Developers upload app binaries or connect repositories, and Ostorlab’s AI performs static code analysis, dynamic runtime testing, and network traffic inspection. The platform highlights critical, high, and medium-risk issues, offers remediation guidance, and integrates into development workflows for continuous monitoring and compliance management.