Top 50 Ai Risk Management - Series B

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.

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.

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.

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.

Venminder provides an AI‑enhanced platform for third‑party risk management that centralizes onboarding, ongoing monitoring, and off‑boarding of vendors. It automates questionnaire creation, contract storage with expiration alerts, and continuously enriches vendor profiles with cybersecurity, financial, privacy and ESG intelligence, delivering risk‑rated reports and compliance dashboards for risk, compliance and procurement teams.

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.

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.

DTEX provides an AI‑driven insider risk management platform that combines data loss prevention, user‑entity behavior analytics, and activity monitoring into a single lightweight engine. The solution collects under 5 MB of anonymized telemetry per endpoint daily, generates real‑time risk scores and adaptive DLP policies, and integrates with tools like Splunk, CrowdStrike, and Microsoft 365 to enable rapid investigation and reporting for enterprise security teams.

Sedric is a risk and compliance platform that utilizes an AI-driven model to automate monitoring and policy execution for financial institutions, ensuring 100% coverage of customer interactions across multiple channels. By streamlining compliance workflows and providing real-time risk analysis, Sedric enhances operational efficiency and reduces the time spent on manual compliance tasks.

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.

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.

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.

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.

Fortress provides AI-driven cybersecurity solutions that focus on third-party risk management, vulnerability identification, and cyber supply chain risk management for critical infrastructure and government agencies. By enhancing the security of vendor ecosystems and ensuring operational resilience, Fortress mitigates the risks posed by evolving cyber threats.

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.

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.

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.

ZestyAI provides AI-driven peril-specific risk models and property insights to enhance risk assessment for Property and Casualty insurers. The platform enables insurers to make informed underwriting and pricing decisions by delivering accurate data on property vulnerabilities, including wildfire and severe storm risks.

Feedzai provides an AI-native RiskOps platform that combines real‑time fraud detection, AML monitoring, and identity verification across the customer lifecycle. The cloud‑based solution scores transactions using behavioral biometrics and device intelligence, offers a unified console for alert investigation and regulator‑ready reporting, and includes self‑service tools for custom model development.

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.

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.

Archipelago utilizes AI to digitize risk data for large commercial property owners, enhancing data quality and streamlining the preparation of Statements of Values (SOV). This technology reduces the time spent on data management, allowing clients to focus on strategic advisory and improve their overall risk resilience.

Provides AI-powered knowledge engines that transform tacit domain expertise into autonomous, semantically unified knowledge graphs, enabling superhuman decision-making and predictive insights. This technology addresses organizational knowledge loss, information overload, and inefficiencies in defense, intelligence, and cybersecurity by automating complex reasoning, threat detection, and risk management at unprecedented speed and scale.

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.

Prewave is an AI-driven risk and sustainability monitoring platform that analyzes millions of sources in over 50 languages to provide real-time alerts on risks affecting suppliers. The platform enables purchasing and supply chain managers to ensure compliance with regulations like the EU Deforestation Regulation and the German Supply Chain Due Diligence Act by identifying and mitigating potential disruptions in their supply chains.

The startup is developing an AI and machine learning-based cybersecurity platform that enhances security workflows and optimizes resource allocation. This technology reduces the time and effort required for risk management in cybersecurity operations.

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.

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.

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.

Provides an AI-powered platform that analyzes construction contracts to identify critical risk provisions and automate compliance workflows. By standardizing risk assessment and delivering just-in-time contract insights, it helps project teams reduce disputes, streamline decision-making, and ensure adherence to contractual obligations throughout the project lifecycle.

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.

Fiddler provides an AI Observability platform that enables enterprises to monitor and analyze machine learning models and generative AI applications, ensuring performance, security, and compliance. By offering actionable insights into model behavior and governance, Fiddler helps organizations mitigate risks associated with deploying AI at scale.

LINE5 provides an AI-powered platform that automates contract review and risk assessment for legal teams. Its NLP and ML models extract key data, identify clauses, and monitor compliance, streamlining contract lifecycle management and reducing exposure to liabilities.

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.

Reco provides a SaaS security platform that discovers and manages all SaaS applications and AI tools, offering posture management, identity governance, and threat detection. It helps organizations mitigate risks from SaaS sprawl and uncontrolled AI usage by providing continuous visibility and control over their digital environment.

TrustLayer automates the collection and verification of Certificates of Insurance (COIs) using machine learning and AI, enabling risk managers to efficiently manage third-party compliance. By analyzing over 400,000 COIs monthly, the platform provides actionable insights that enhance risk visibility and streamline vendor onboarding processes.

Provides an AI-powered Data Security Posture Management (DSPM) platform that automatically discovers, classifies, and monitors sensitive data across cloud environments, including SaaS, IaaS, and on-premises systems. It mitigates risks by enforcing least privilege access, detecting policy violations, and preventing data breaches through continuous monitoring and contextual threat analysis.

Lakera AI provides a real-time security platform that employs a low-latency AI application firewall to protect enterprises from vulnerabilities associated with large language models (LLMs). The solution specifically mitigates risks such as prompt attacks, data loss, and the generation of inappropriate content, ensuring compliance with privacy regulations.

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.

Secureframe provides an AI-powered platform that automates compliance tasks, including evidence collection and continuous monitoring, to help businesses efficiently manage security and risk. By streamlining the end-to-end compliance process, Secureframe enables organizations to quickly achieve and maintain compliance with rigorous standards such as SOC 2 and ISO 27001.

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.

Logically combines artificial intelligence with expert analysis to provide organizations with actionable intelligence that mitigates the risks of misinformation and disinformation. Their platform enables proactive threat detection, reputation management, and audience engagement, ensuring operational resilience and stakeholder trust in complex information environments.

Cynomis offers an AI-powered, automated vCISO platform that enables managed security service providers and consulting firms to deliver scalable virtual Chief Information Security Officer services without increasing their resource demands. The platform automates risk and compliance assessments, generates tailored security policies, and creates actionable remediation plans, significantly reducing the time and effort required for cybersecurity management.

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.

Federato's RiskOps platform utilizes AI and machine learning to streamline the underwriting process for insurance companies by automatically triaging submissions based on appetite and winnability. This consolidation reduces the number of systems used, enhances submission processing speed, and increases the hit ratio for high-value deals.

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.

Idelic is a driver management platform that centralizes fleet data and utilizes AI for early risk detection and targeted driver coaching. This approach addresses issues of data overload, operational inefficiency, and rising insurance costs, resulting in measurable reductions in accidents and insurance expenses.

CompScience utilizes AI-driven safety analytics to analyze existing video footage from workplace cameras, identifying risks and generating actionable insights to enhance safety protocols. This technology reduces workplace hazards, leading to a 24% decrease in claims frequency and a 78% improvement in compliance.

CLARA Analytics offers CLARAty.ai, an AI-driven Claims Intelligence Platform that utilizes Document Intelligence to analyze claims documents and medical records, providing actionable insights for risk professionals and adjusters. The platform addresses high loss costs and claim expenses by optimizing claims management processes and reducing the time required for medical cost projections and fraud detection.

MDI Health offers a personalized AI medication management platform that autonomously identifies high-risk patients and generates actionable clinical recommendations to mitigate medication-related risks. This solution addresses the $528 billion annual burden of drug-related morbidity and mortality by significantly reducing unnecessary prescriptions and hospitalizations, saving up to $2,000 per patient per year.