Llama Guard is an AI-driven agent focused on cybersecurity. It continuously monitors network activity, identifies potential threats, and automatically responds to mitigate risks. By utilizing machine learning algorithms, Llama Guard adapts to new vulnerabilities, providing real-time protection for organizations. Its functionalities include threat analysis, incident response, and compliance management, making it an essential tool for safeguarding critical information and minimizing security breaches.

Offensive Graphs leverages advanced machine learning algorithms to seamlessly ingest diverse network data sources such as firewall rules, Active Directory configurations, cloud assets, and vulnerability scanner outputs. It automatically constructs comprehensive attack graphs that reveal the most effective lateral movement and privilege escalation paths an adversary might exploit. Users can interactively explore these graphs in a user-friendly web interface, apply filters by risk level or asset criticality, and drill down into detailed risk factors. The platform also prioritizes remediation tasks based on aggregated threat scores and generates customizable reports to support compliance and incident response. By automating complex threat modeling, Offensive Graphs significantly reduces manual effort while enhancing the accuracy and coverage of security assessments.

RAG for Cybersecurity combines the power of large language models with vector-based retrieval to transform how security teams access and analyze cybersecurity information. Users begin by ingesting documents such as MITRE ATT&CK matrices, CVE entries, and security advisories. The framework then generates embeddings for each document and stores them in a vector database. When a user submits a query, RAG retrieves the most relevant document chunks, passes them to the LLM, and returns precise, context-rich responses. This approach ensures answers are grounded in authoritative sources, reducing hallucinations while improving accuracy. With customizable data pipelines and support for multiple embeddings and LLM providers, teams can tailor the system to their unique threat intelligence needs.

Wallow is an all-in-one platform tailored for product teams, enabling them to streamline their workflow through real-time incident tracking and effective team collaboration. With features that integrate communication and task management, Wallow facilitates a unified approach to product development. Teams can align their goals and respond to incidents swiftly, fostering a productive environment that adapts to dynamic project demands.

Token Security is an advanced AI agent designed to optimize cybersecurity strategies. It offers automating risk assessment processes, evaluating vulnerabilities, and generating threat intelligence reports that help organizations swiftly respond to potential threats. By leveraging data analytics and machine learning, the platform continuously improves its insights into emerging risks, ensuring that your security frameworks remain robust and proactive.

Vigilocity's Mythic is an advanced cybersecurity platform designed to track, monitor, and disrupt threat actors. Utilizing bespoke training data, Mythic offers unparalleled precision and efficiency in identifying and countering cyber threats. It is engineered to provide real-time intelligence, offering users up-to-date information on potential security risks. The platform's robust analytics and actionable insights empower organizations to preemptively address vulnerabilities, ensuring comprehensive cyber defense.

Amplifier Security leverages artificial intelligence to provide dynamic threat detection, real-time monitoring, and detailed reporting for businesses. Its AI-driven features allow for faster identification of vulnerabilities and automatic responses to potential breaches. This ensures comprehensive security management, enhancing organizational resilience against persistent cyber threats.