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On Thu, 6 Mar, 4:03 PM UTC
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[1]
AIceberg announces $10 million seed round for AI safety
AIceberg, a company specializing in security, safety, and compliance technologies for artificial intelligence, announced it has secured $10 million in seed funding. The investment was led by SYN Ventures and Sprout & Oak. Alongside this financing round, AIceberg introduced a new platform designed to improve security and risk management for AI applications. The AIceberg platform serves as a security measure for organizations utilizing generative and agentic AI, focusing specifically on validating AI-generated content. Unlike traditional generative solutions, AIceberg employs non-generative models to independently assess input and output from AI applications. The goal is to detect and mitigate potential risks in real-time, allowing organizations to safely adopt AI tools without exposing themselves to common threats. According to Alex Schlager, CEO of AIceberg, current approaches relying on generative AI to safeguard similar systems have limitations and inherent risks. Schlager emphasized that AIceberg addresses this gap by providing real-time monitoring, detection of cybersecurity threats like data leaks or unauthorized access, and automated enforcement of organizational security policies. Key features of AIceberg's platform include measures to ensure appropriate use of AI technologies, up-to-date detection of cyber threats such as prompt injections or jailbreaking, and transparent compliance frameworks. Additionally, the platform offers enterprises increased observability into AI interactions, allowing businesses to analyze and improve their use of AI technology. Firstsource launches Agentic AI Studio to automate workplace tasks Jay Leek from SYN Ventures highlighted the growing necessity for robust security measures as organizations increasingly adopt AI solutions, pointing out the importance of comprehensive safeguards to minimize associated risks. MJ Ramachandran, partner at Sprout & Oak, noted AIceberg's expertise in combining AI with cybersecurity and enterprise risk management, mentioning the firm's early investment based on the increasing demand for secure AI solutions in regulated sectors. The recent funding will support AIceberg's continued innovation in creating secure and transparent AI adoption tools for enterprises across industries.
[2]
AIceberg introduces new AI trust platform with $10M in new funding - SiliconANGLE
AIceberg introduces new AI trust platform with $10M in new funding Artificial intelligence trust, safety, security and compliance technology startup AIceberg Inc. today announced that it has raised $10 million in new funding and launched its AI trust platform that provides enterprise-grade security with real-time, automated validation of AI application traffic. Founded in 2022, AIceberg's technology is designed to allow enterprises and public entities to make their AI systems fully transparent, explainable, safe, effective and compliant. The company believes that full transparency and explainability are foundational for managing all risk aspects of AI models. AIceberg's platform unlocks the power of generative and agentic AI and eliminates the risks by working as an AI firewall and gateway that monitors user prompts and model/agent responses for risk signals and enforces security and organizational policies. As a result, organizations can mitigate risks and adapt swiftly to emerging threats with real-time responses, agentic action controls and customized security policies. Additionally, AIceberg's advanced threat detection delivers a security posture that it says is always up-to-date for the latest attack vectors. It offers real-time detection and mitigation against AI cybersecurity threats such as data leaks and unauthorized access. Key benefits of the company's new AI trust platform include guardrails for safety that ensure only approved and relevant AI interactions are allowed, preventing unsanctioned, unsuitable, or illegal content. The platform also protects privacy by automatically redacting personal and sensitive information from AI inputs and outputs. In addition, the platform maintains an up-to-date security posture by detecting common AI cybersecurity threats like prompt injection, prompt leaking and jailbreaking. The AI trust platform performs advanced security analysis across agentic workflows, helping organizations stay protected against emerging risks. The platform also delivers compliance, transparency and auditability through explainable, non-generative AI models, providing accurate and traceable oversight. With full enterprise observability, businesses can monitor AI interactions to improve user experience and uncover insights through prompt and response analysis. The seed round was led by SYN Ventures and Sprout & Oak. "The public and private sectors are eager to gain a competitive advantage by integrating AI tools, but without appropriate guardrails in place, these efforts can open them to great risk," said Jay Leek, managing partner of SYN Ventures. "AIceberg's deep domain experience and unmatched technological capabilities have quickly positioned them as the industry leader in developing solutions to make safe AI systems. We are thrilled to invest in the team."
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AIceberg, a startup specializing in AI trust, safety, security, and compliance technology, has raised $10 million in seed funding and launched a new AI trust platform. The platform aims to provide enterprise-grade security with real-time, automated validation of AI application traffic.
AIceberg, a startup specializing in artificial intelligence trust, safety, security, and compliance technology, has successfully secured $10 million in seed funding. The investment round was led by SYN Ventures and Sprout & Oak, marking a significant milestone for the company founded in 2022 12.
Alongside the funding announcement, AIceberg introduced its new AI trust platform, designed to provide enterprise-grade security with real-time, automated validation of AI application traffic. The platform serves as a security measure for organizations utilizing generative and agentic AI, with a specific focus on validating AI-generated content 12.
AIceberg's platform offers several key features and benefits:
Non-generative approach: Unlike traditional solutions, AIceberg employs non-generative models to independently assess input and output from AI applications 1.
Real-time monitoring and detection: The platform provides real-time monitoring and detection of cybersecurity threats such as data leaks, unauthorized access, prompt injections, and jailbreaking 12.
Automated policy enforcement: It enforces organizational security policies automatically, allowing businesses to safely adopt AI tools without exposing themselves to common threats 1.
Privacy protection: The platform automatically redacts personal and sensitive information from AI inputs and outputs 2.
Compliance and transparency: AIceberg offers explainable, non-generative AI models, providing accurate and traceable oversight for compliance purposes 2.
Enterprise observability: Businesses can monitor AI interactions to improve user experience and uncover insights through prompt and response analysis 2.
Alex Schlager, CEO of AIceberg, emphasized the limitations and inherent risks of current approaches that rely on generative AI to safeguard similar systems. AIceberg's platform addresses this gap by providing comprehensive security measures 1.
Jay Leek, managing partner of SYN Ventures, highlighted the growing necessity for robust security measures as organizations increasingly adopt AI solutions. He stated, "The public and private sectors are eager to gain a competitive advantage by integrating AI tools, but without appropriate guardrails in place, these efforts can open them to great risk" 2.
MJ Ramachandran, partner at Sprout & Oak, noted AIceberg's expertise in combining AI with cybersecurity and enterprise risk management. The firm's early investment was based on the increasing demand for secure AI solutions in regulated sectors 1.
The recent funding will support AIceberg's continued innovation in creating secure and transparent AI adoption tools for enterprises across industries. As organizations increasingly integrate AI solutions into their operations, the demand for comprehensive safeguards to minimize associated risks is expected to grow 12.
AIceberg's AI trust platform aims to unlock the power of generative and agentic AI while eliminating risks by functioning as an AI firewall and gateway. This approach allows organizations to mitigate risks and adapt swiftly to emerging threats with real-time responses, agentic action controls, and customized security policies 2.
Reference
[1]
Swiss startup Lakera raises $20 million in Series A funding to protect businesses from generative AI security risks. The company's technology aims to prevent malicious prompts and ensure safe deployment of AI models.
5 Sources
5 Sources
Relyance AI raises $32.1 million in Series B funding to scale its AI data governance platform, addressing the growing need for transparency in AI model training and data usage amid increasing regulations.
2 Sources
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Singulr AI, a startup focused on enterprise AI governance and security, has raised $10 million in seed funding to address the growing challenges of AI adoption in businesses. The company aims to provide tools for managing AI risks, costs, and compliance.
3 Sources
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Integrail, an AI startup, raises $10 million in seed funding and appoints Peter Guagenti as CEO to launch their no-code platform for creating and deploying AI agents, aiming to revolutionize business processes across industries.
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Arize AI, a leader in AI observability and LLM evaluation, has raised $70 million in Series C funding to expand its platform for testing and troubleshooting AI systems before deployment.
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