Thirdeye
Who Is the Company Behind Thirdeye?
- Seller: Thirdeye
- Year Founded: 2025
- HQ Location: Paris, FR
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LinkedIn® Page: www.linkedin.com
1 employees on LinkedIn®
Total Products under this Category: 355
Last updated: October 16, 2026
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Highlighted products: Microsoft Defender for Cloud, Google Cloud Model Armor, Orca Security, Wiz, Zscaler Internet Access, Cato SASE Cloud, Securiti, and Airia.
Underlying data: [Grid® JSON](https://www.g2.com/categories/ai-security-solutions/grids.json?focus%5B%5D=microsoft-defender-for-cloud&focus%5B%5D=google-cloud-model-armor&focus%5B%5D=orca-security&focus%5B%5D=wiz-wiz&focus%5B%5D=zscaler-internet-access&focus%5B%5D=cato-networks-cato-sase-cloud&focus%5B%5D=securiti&focus%5B%5D=airia)
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TokenJam is an open-source, OTel-native observability tool designed for autonomous AI agents. It provides comprehensive telemetry, including agent spans, tool calls, and token metrics, all conforming to GenAI Semantic Conventions. TokenJam offers real-time USD cost tracking per agent, model, and task, with configurable daily budget alerts. It includes sensitive action alerts for activities like email sends and file writes, local behavioral drift detection, and output schema validation. The tool features a full-featured CLI and local REST API, ensuring seamless integration with existing workflows. TokenJam supports various platforms, including Anthropic, OpenAI, Google Gemini, AWS Bedrock, LangChain, and more. By offering these features, TokenJam addresses the need for detailed observability in AI agents, ensuring they operate efficiently and safely without unexpected costs or behaviors.
Trampolyne AI runs automated, multi-turn, multi-modal adversarial testing against your live AI systems — chatbots, copilots, RAG apps, and agents — using attack scenarios generated from your actual business context, identities, and data domains, not generic templates. Unlike traditional VAPT, which can't reach AI-specific attack surfaces, Trampolyne tests every layer an attacker can — not just the model. Beyond prompt injection, jailbreaks, and system-prompt extraction, it directly exercises the API authorization layer (BOLA/IDOR with a cross-tenant differential that names the exact record it reached), tool and Model Context Protocol (MCP) calls, and multi-step agent workflows (approval bypass, privilege escalation, data exfiltration). Runs are configurable by attacker access level, org context, and attack family, on-demand or scheduled continuously — with regression re-testing that returns a fixed / still-failing / regressed verdict per finding. Output is a severity-ranked, evidence-grade report: every confirmed finding ships with a reproducible conversation/request trace and is mapped to the OWASP LLM, API, and Agentic Top 10 and MITRE ATLAS — plus article-level regulatory exposure under GDPR, the EU AI Act, India's DPDPA, NIST AI RMF, ISO/IEC 42001, and OECD AI Principles. Formatted for enterprise security review and procurement questionnaires. Safe by design: Trampolyne runs only against targets you've verified you control, stays non-destructive in production, is SSRF-guarded, and redacts secrets/PII before storage. Used by AI-native SaaS companies to pass enterprise security reviews and by security teams to continuously validate AI in production — with findings translating directly into Trampolyne's governance policies, closing the loop between testing and enforcement.
TrendAI Vision One is a cloud-native security operations platform, serving cloud, hybrid, and on-premises environments. It combines ASM and XDR in a single console to effectively manage cyber risk across your organization. The platform provides powerful risk insights, earlier threat detection, and automated risk and threat response options. Utilize the platform’s predictive machine learning and advanced security analytics for a broader perspective and advanced context. TrendAI Vision One integrates with its own expansive protection platform portfolio and industry-leading global threat intelligence, in addition to a broad ecosystem of purpose-built and API-driven third-party integrations.
Average Rating: 4.7/5.0
Total Reviews: 246
AI-generated summary from verified user reviews
"Scalable Security with Easy Setup, Needs Better Training Support"
Rating: 4.5/5.0 stars
— Andrew W.
Rating: 5.0/5.0 stars
— Verified User in Oil & Energy
Trent is an AI security engineer for everything you ship with AI. It runs deep vulnerability scans on private repos, security architecture reviews, and threat models, and interprets the signals from your existing security tools with deeper context, so you get sharper prioritization instead of more alerts. Findings come back as a plan you review and execute. Your code never goes to Anthropic or OpenAI. Integrates where you build: Claude Code, Lovable, and OpenClaw (openclaw skills install trentclaw).
TrojAI Detect is an AI security solution designed to identify and mitigate risks in AI models before deployment. By conducting automated penetration testing, it assesses vulnerabilities and deficiencies, ensuring models behave as intended and are safeguarded against potential threats.
TruSources introduces TruClaw, an innovative solution designed to enhance control over AI agents by implementing cryptographic human consent mechanisms. This technology ensures that AI agents execute actions only after receiving explicit, verifiable human approval, thereby mitigating risks associated with autonomous agent operations. Key Features and Functionality: - Action Interception: TruClaw intercepts AI agent actions before execution, allowing for human oversight and preventing unauthorized operations. - Secure Approval Process: Utilizes device-bound cryptographic challenges, ensuring that approvals are genuine and resistant to forgery or replay attacks. - Seamless Integration: Compatible with platforms like OpenClaw and Google ADK, TruClaw offers a drop-in plugin solution without the need for extensive system rearchitecture. - On-Device Biometric Verification: Employs facial recognition on the user's device to confirm approvals, ensuring that a real person authorizes each action in real-time. - Comprehensive Audit Trail: Maintains a detailed log of all approved or blocked actions, each with a hardware-attested signature, facilitating compliance and accountability. Primary Value and User Solutions: TruClaw addresses the critical need for human oversight in AI agent operations, providing organizations with a robust mechanism to prevent unauthorized or erroneous actions. By integrating cryptographic human consent, it enhances security, ensures compliance with regulatory standards, and builds trust in AI-driven processes. This solution is particularly valuable for businesses seeking to balance the efficiency of AI automation with the necessity of human control and accountability.
Trust3 AI is a control plane to provide full visibility and security of your agents and everything they touch across the entire agent lifecycle, from build-time to runtime.
TrustBound is an advanced AI-driven platform designed to enhance organizational security and compliance by automating risk management processes. It offers a comprehensive suite of tools that enable businesses to identify, assess, and mitigate potential threats efficiently. By leveraging machine learning algorithms, TrustBound provides real-time monitoring and predictive analytics, ensuring proactive defense against emerging risks. Key features of TrustBound include: - Automated Risk Assessment: Utilizes AI to continuously evaluate and prioritize risks, reducing manual effort and human error. - Real-Time Monitoring: Offers continuous surveillance of systems and networks to detect anomalies and potential breaches promptly. - Compliance Management: Assists organizations in adhering to industry standards and regulations by providing up-to-date compliance frameworks and reporting tools. - Incident Response Automation: Streamlines the response to security incidents through predefined protocols and automated workflows. - Predictive Analytics: Employs machine learning to forecast potential threats, allowing for preemptive action. The primary value of TrustBound lies in its ability to transform traditional, reactive risk management into a proactive and automated process. By integrating AI and machine learning, it not only enhances the accuracy and efficiency of risk assessments but also empowers organizations to stay ahead of potential threats. This proactive approach minimizes the likelihood of security breaches, ensures regulatory compliance, and ultimately protects the organization's assets and reputation.