Top 50 Ai Risk Management - Series B

The startup offers a risk management platform that centralizes and automates risk and compliance activities, enabling organizations to manage issues without reliance on external consultants. By connecting disparate data sources and maintaining an audit trail, the platform enhances operational efficiency and reduces the risk associated with immediate issue remediation.

Straiker provides an AI security platform that identifies and mitigates risks in AI applications. It helps organizations confidently deploy AI by addressing security and safety vulnerabilities within their AI systems.

Cranium is an AI security and trust platform that continuously monitors AI systems for vulnerabilities while ensuring compliance with internal and third-party AI regulations. By providing visibility into the entire AI supply chain, Cranium helps organizations mitigate risks and build trust without exposing sensitive data.

Provides an AI governance platform that enables enterprises to inventory AI use cases, assess vendor risks, and ensure compliance with regulations like the EU AI Act and ISO/EIC 42001. The platform integrates with existing AI systems to automate risk management, generate audit artifacts, and operationalize contextual governance at scale, reducing regulatory and operational risks associated with AI adoption.

The startup develops artificial intelligence technology that generates operational plans, analyzes emerging threats, and executes response strategies for security practitioners. This enables clients to conduct detailed threat analysis efficiently without the need to memorize data sources or schemas.

Robust Intelligence provides an automated platform that evaluates AI models and data for security and safety vulnerabilities, ensuring compliance with standards like NIST and OWASP. The solution enables enterprises to deploy AI applications rapidly while mitigating risks associated with integrity, privacy, and availability violations.

The startup has developed an AI-based algorithm that predicts the risk of cerebral aneurysms by categorizing individuals into five distinct risk levels. This technology provides critical risk assessment tools for screening agencies, enhancing their ability to identify patients at varying levels of risk.

Provides an AI-powered risk decisioning platform that integrates machine learning models and behavioral analytics to manage onboarding, fraud, credit, and compliance risks in real time. By reducing false positives, accelerating approval rates, and enabling autonomous risk management, it helps fintechs and banks streamline operations and enhance security.

CyberCube offers a data-driven cyber risk analytics platform that utilizes artificial intelligence to quantify cyber risks for insurance companies. By providing actionable insights and tailored solutions, it enables insurers to make informed risk management and transfer decisions in a rapidly evolving cyber landscape.

The startup offers a security risk management platform that enables organizations to assess and monitor the cybersecurity posture of third-party suppliers. By automating the evaluation process and ensuring regulatory compliance, clients gain real-time visibility into supplier cyber risks, enhancing their ability to manage third-party security effectively.

AuditBoard offers a connected risk management platform that integrates audit, risk, IT security, and ESG programs through automated workflows and analytics. This platform enhances organizational efficiency by providing real-time visibility into risks and facilitating collaboration among stakeholders, addressing the challenges of managing complex compliance and risk landscapes.

The startup offers AI-powered battery management software that optimizes battery performance and lifespan through real-time monitoring and predictive analytics. This technology enhances safety and sustainability by reducing the risk of battery failures and minimizing environmental impact.

Provides an enterprise AI testing platform that automates data augmentation, test selection, and calibration using adaptive preference learning. It addresses the unpredictability and unreliability of AI systems by enabling teams to collect, test, and analyze data throughout the AI software lifecycle, ensuring compliance, governance, and improved system performance.

Bureau provides an AI-powered platform for unified risk decisioning, consolidating diverse data sources to enable real-time assessment of customer risk. It streamlines compliance, fraud, and credit management by offering a 360-degree view of customer interactions and automating risk decisions.

The startup offers a cloud-based human risk management platform that automates simulated phishing attacks and training programs for security teams. By integrating with workplace applications, the platform enables organizations to quantify and mitigate cyber risks associated with employee behavior.

Inscribe provides AI Fraud Analysts that automate fraud detection and risk assessment for finance organizations, significantly reducing manual review times by 99%. This technology enables risk teams to efficiently verify applicant details and assess transaction risks, allowing them to focus on onboarding trustworthy customers.

Aim Security is a GenAI security platform that provides organizations with visibility and control over their AI applications, ensuring compliance with data privacy regulations and internal policies. The platform enables enterprises to manage AI risks by auditing data interactions, detecting malicious prompts, and enforcing security configurations across their AI ecosystem.

Protect AI specializes in AI security solutions that utilize advanced threat detection algorithms to identify and mitigate vulnerabilities in machine learning systems. The company addresses the risk of adversarial attacks and data breaches, ensuring the integrity and reliability of AI applications across various industries.

Signal AI utilizes proprietary AIQ technology to analyze external data from traditional and social media across 226 markets and 75 languages, providing actionable insights for enterprise risk management and reputation enhancement. The platform enables businesses to proactively identify risks and opportunities, allowing leaders to make informed decisions based on real-time sentiment tracking and trend analysis.

Resistant AI develops advanced algorithms to safeguard AI systems from adversarial machine learning attacks and targeted manipulation. Their technology enhances the integrity of AI models, reducing the risk of fraud and ensuring reliable decision-making in critical applications.

Acin provides a data-driven platform that aggregates and normalizes operational risk control data, enabling financial institutions to benchmark their practices against industry peers. By utilizing proprietary AI, Acin enhances risk management efficiency and regulatory traceability, ultimately reducing costs and improving operational excellence.

The startup offers a cyber risk assessment platform that employs patented artificial intelligence, actuarial data, and financial modeling to automate compliance tasks and quantify cyber risk in financial terms. This enables organizations to prioritize cybersecurity investments and enhance their risk management strategies effectively.

The startup develops artificial intelligence governance software that provides certifiable and tamper-proof auditing for organizations utilizing AI models. This technology ensures compliance with regulatory requirements, enabling businesses to implement AI solutions with confidence.

The startup offers an asset risk management platform that provides security teams with real-time visibility into hardware assets and their behavior. It enables organizations to enforce granular device usage policies and continuously monitor for unauthorized access, effectively mitigating hardware-based threats.

The startup offers a compliance and risk management platform that centralizes regulatory processes for financial service firms by providing issue tracking, industry references, and real-time analysis of business activities. This enables firms to create a regulatory inventory and map their operations to relevant regulations, ensuring adherence to industry-specific compliance obligations.

ModelOp provides AI Governance software that integrates with existing enterprise systems to ensure compliance and mitigate risks associated with AI initiatives, including generative AI and third-party models. The platform offers a centralized inventory for tracking AI performance and automates governance processes, enabling organizations to maintain oversight while accelerating their AI deployment.

Provides an AI Guardrails platform that uses multi-SLM detection engines to enforce security, reliability, and observability for AI workloads. It prevents issues like prompt injections, data leakage, and hallucinations in real time, ensuring compliance with company policies and reducing risks associated with deploying generative AI in enterprise environments.

The startup develops a voice analytics system that utilizes AI to assess risk in speech by analyzing vocal responses for indicators of fraud. This technology enables organizations in sectors such as insurance and banking to achieve rapid risk assessment, reduce fraud incidents, and enhance operational efficiency.

SecurityScorecard is a cybersecurity platform that utilizes risk assessment algorithms to identify and quantify potential security vulnerabilities in an organization’s digital infrastructure. By providing actionable insights, it enables businesses to proactively mitigate risks and enhance their overall security posture.

The startup has developed a risk modeling platform that employs scientific principles to analyze the root causes of property and casualty insurance claims, moving beyond traditional risk grouping methods. This platform provides granular, data-driven insights into potential risks based on event causality, enabling insurance companies to enhance risk management and refine underwriting accuracy.

Arthur is an MLOps platform that provides monitoring, management, and deployment solutions for machine learning models, including traditional and generative AI. It addresses risks such as data leakage and model performance degradation, enabling enterprises to optimize their AI operations while ensuring compliance and security.

MindBridge is a financial risk discovery and anomaly detection platform that utilizes machine learning algorithms to analyze 100% of financial transactions, identifying errors and risks in real-time. The platform enables organizations to continuously monitor their financial data, preventing costly mistakes and enhancing the integrity of financial reporting.

WitnessAI provides a platform that enables enterprises to monitor AI activity, enforce usage policies, and secure data against misuse and attacks. This solution addresses the challenges of maintaining control, privacy, and security while leveraging generative AI technologies.

Andalusia Labs is developing a risk management and AI infrastructure platform for digital assets, utilizing blockchain technology to ensure verifiable transactions and secure asset management. The platform addresses the need for reliable and transparent financial systems in the rapidly evolving digital asset landscape.

HiddenLayer offers a software platform that monitors the inputs and outputs of machine learning models to protect against adversarial attacks, model theft, and data exposure. By utilizing the MITRE ATLAS framework, it provides real-time awareness of model health without requiring access to raw data or algorithms, ensuring the security of proprietary AI assets.

Noma provides a unified AI security and governance platform that offers continuous visibility and control across the entire data-and-AI lifecycle. It automatically discovers AI assets, assesses security posture, prioritizes risks, and remediates vulnerabilities, defending against AI-specific attacks and ensuring compliance.

Patronus AI provides an automated evaluation platform that utilizes advanced evaluation models to monitor AI systems for issues such as hallucinations, prompt injections, and data leakage. The platform enables organizations to ensure the reliability and security of their AI products in production environments, significantly reducing the risk of AI failures.

The startup provides specialty cyber underwriting services that utilize augmented intelligence to enhance policy and portfolio pricing accuracy. By integrating human expertise in cybersecurity with AI-driven modeling and simulation, the company enables insurers and reinsurers to gain insights into potential attacker targets and evaluate existing defenses.

The startup operates an AI-driven venture studio that automates complex, multi-level decision-making processes traditionally reliant on human input. By providing a shared technological and operational framework, the company enables teams of entrepreneurs and engineers to efficiently transform leading research into market-ready products while offering seed financing and access to industry networks.

Mind Foundry has developed an AI platform that utilizes Bayesian inference and probabilistic numerics to create responsible AI solutions for high-stakes applications in sectors such as defense, infrastructure, and insurance. The platform addresses the challenges of risk and complexity by enabling organizations to design, test, and deploy AI systems that enhance decision-making and improve operational outcomes.

Mitiga Solutions provides climate risk intelligence through high-performance computing, AI, and scientific modeling to assess exposure to climate hazards such as flooding, wildfires, and heat stress. Their technology enables businesses to evaluate risks in their asset portfolios and optimize resilience planning, ensuring compliance with regulatory requirements.

One Concern provides a data platform that quantifies physical risks to businesses by utilizing AI and catastrophe modeling to create a digital twin of the physical world. This technology enables financial services, insurance, and real estate sectors to measure and benchmark vulnerabilities to operational disruptions, facilitating informed decision-making amidst climate-related uncertainties.

The startup has developed an artificial intelligence-based forecasting platform that utilizes a machine learning engine to analyze the largest dataset of construction schedules globally. This technology enhances accuracy in identifying project risks and uncertainties, enabling clients to make informed decisions throughout the construction process.

This startup operates an insurance company that provides flood and homeowners insurance by utilizing data analytics and AI to accurately assess and price risk. By simplifying the insurance process, it offers customers a more secure and stable coverage experience without unnecessary complications.

The startup operates an AI-driven platform that automates data collection from third-party and proprietary sources for insurance underwriting. By providing traceability and full lineage of underwriting decisions, the platform reduces the manual workload of underwriters, enhancing efficiency and accuracy in the underwriting process.

Rain AI manufactures energy-efficient hardware specifically designed for artificial intelligence applications, utilizing advanced power management techniques to minimize energy consumption. This technology addresses the high energy demands of AI processing, enabling organizations to reduce operational costs and environmental impact.

Zenity offers a security governance platform specifically designed for low-code/no-code and AI applications, providing application security controls from build time to runtime. The platform mitigates risks associated with AI agents, such as data leakage and unauthorized access, ensuring compliance and operational continuity within enterprises.

Strider is a strategic intelligence firm that employs artificial intelligence to analyze publicly available data and generate actionable insights for businesses. This approach enables organizations to make informed decisions based on real-time information, enhancing their strategic planning and operational efficiency.

Black Kite offers a platform that automates third-party risk assessments by providing real-time cyber threat intelligence and vulnerability management. This technology enables organizations to quantify cyber risk, enhance supply chain resilience, and ensure compliance with regulatory standards.

The startup develops machine learning-based cybersecurity tools that analyze data from core business processes to enhance online security management. Its dashboard provides organizations with actionable insights to effectively mitigate daily security threats.