Top 50 Ai Risk Management - Series A

The startup offers a risk management platform that utilizes artificial intelligence to analyze operational reports and identify hazards in critical business environments. By enabling rapid detection of incidents requiring immediate intervention, the platform enhances operational safety and response times for companies and governments.

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.

DeepKeep provides a generative AI platform that continuously identifies vulnerabilities in AI and large language models (LLMs) throughout their lifecycle, utilizing real-time risk assessment and an AI firewall for proactive security. This technology enables organizations to manage unpredictable risks associated with AI systems, ensuring robust protection and trustworthiness in their deployments.

PAXAFE offers an AI-enabled, device-agnostic risk management platform that automates the analysis of sensor and third-party data to predict and mitigate supply chain disruptions. By quantifying risk and providing actionable recommendations, the platform enhances operational efficiency and improves on-time delivery for industries such as pharmaceuticals and food and beverage.

The startup offers a third-party risk management platform that utilizes AI to enhance human decision-making by validating controls and providing a detailed audit trail. This platform replaces traditional continuous monitoring with ongoing assessments, significantly reducing the time and cost associated with TPRM evaluations for financial institutions.

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.

Dune Security offers a User Adaptive Risk Management solution that utilizes AI to assess employee risk and implement tailored training interventions. By integrating with existing security systems, it addresses the human behavior factors that contribute to cybersecurity breaches in large enterprises.

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.

The startup provides an open-source platform that implements AI guardrails to mitigate risks associated with generative AI outputs, ensuring compliance with industry standards and preventing sensitive data leaks. By offering real-time hallucination detection and customizable validation tools, it enhances the reliability and safety of AI applications across enterprise infrastructures.

VISO Trust provides an AI-powered platform for third-party cyber risk management, enabling security teams to automate risk assessments and gain real-time intelligence on vendor security postures. This solution reduces the time spent on due diligence from hours to minutes, allowing organizations to maintain compliance with industry standards while minimizing exposure to cyber threats.

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.

Pillar Security provides an enterprise platform that automatically discovers and inventories AI models, datasets, prompts, and agents to maintain a continuous AI Bill of Materials. It applies dynamic threat modeling, real‑time attack‑surface mapping, and automated red‑team simulations to generate risk scores and enforce adaptive guardrails and compliance policies across the AI lifecycle. The solution integrates with CI/CD and MLOps pipelines, offers self‑hosted VPC deployment with SOC 2 Type II certification, and logs detailed audit data for governance.

Monitaur provides a platform that integrates data, governance, risk, and compliance teams to ensure accountability and transparency in machine learning applications. The solution enables organizations to implement actionable AI governance practices, mitigating risks associated with AI deployment and enhancing operational efficiency.

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.

Assurified offers an AI-powered Risk Transformation Platform that quantifies risk exposure and optimizes insurance programs for multifamily real estate owners. This technology enables clients to maximize asset returns, reduce insurance costs, and enhance operational efficiency in managing insurable risks.

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.

ValidMind provides a platform for model risk management that automates the testing, documentation, validation, and governance of AI and statistical models in the financial services sector. By streamlining these processes, ValidMind reduces model validation time by up to 70% and compliance costs by 90%, ensuring reliable and regulatory-compliant model deployment.

Dynamo AI provides a platform‑as‑a‑service that embeds security, privacy, and regulatory controls into the generative AI lifecycle for enterprises. Its DynamoEval suite performs automated pre‑production risk assessments and red‑team simulations, while DynamoGuard enforces real‑time guardrails that block prohibited content, detect hallucinations, and prevent data exfiltration. A unified observability console and AI‑assisted policy authoring tools deliver continuous auditing and policy updates for regulated sectors.

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.

UpGuard provides a Cyber Risk Posture Management platform that aggregates vendor risk, attack surface, user risk, and trust data into a continuously updated dashboard. The solution uses AI‑driven questionnaire automation, real‑time external asset scanning, and API‑based risk automations to accelerate assessments, trigger remediation workflows, and generate compliance‑ready reports for security and risk teams.

APEX provides an agentless AI security platform that offers organizations visibility into generative AI activities, enabling them to monitor data flow and enforce compliance with security policies. The platform addresses risks such as data leakage and AI exploits by centralizing access management and threat detection across various AI applications and tools.

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.

WhyLabs provides real-time monitoring and management tools for machine learning and generative AI applications, enabling teams to detect and mitigate security risks, model drift, and performance issues. By automating threat remediation and ensuring data privacy, WhyLabs reduces manual operations by over 80% and accelerates incident resolution by 20 times.

The startup offers an artificial intelligence-powered risk resolution platform that simplifies cloud risk remediation through automated code-based mitigation and remediation of vulnerabilities and misconfigurations. This enables security and development operations teams to efficiently address open security issues, significantly reducing the time required for remediation.

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.

Anzenna offers an agentless AI solution that provides deep visibility and continuous multi-factor risk scoring to detect insider threats. By automating remediation processes, Anzenna reduces operational overhead and enhances incident response times, addressing the significant issue of insider risk in organizations.

Provides a platform for governing enterprise use of generative AI (GenAI) by detecting unauthorized usage, mitigating data security risks, and controlling access to private models and sensitive information. It enables organizations to safely adopt GenAI by recording interactions, generating audit trails, and enforcing granular access policies, preventing data leaks while integrating enterprise data for personalized insights.

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.

Mindgard Ltd provides an AI security platform that identifies and mitigates vulnerabilities in AI models through automated security testing and continuous monitoring for adversarial attacks. This solution enables enterprises to enhance their AI security posture while integrating seamlessly with existing cybersecurity tools, ensuring efficient risk assessment and resource optimization.

4CRisk.ai utilizes advanced AI and predictive analytics to provide organizations with immediate, reliable answers to complex compliance questions, significantly reducing research time. Their platform addresses the challenge of navigating intricate regulatory landscapes by automating regulatory research, change management, and compliance mapping, ensuring organizations maintain alignment with evolving obligations.

Provides a cybersecurity human risk management platform that combines adaptive security awareness training, AI-powered phishing simulations, and human risk intelligence to identify and mitigate employee-related vulnerabilities. By quantifying human risk and delivering personalized, role-specific training, it reduces the likelihood of breaches caused by human error, which accounts for 65% of security incidents.

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.

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.

Dynamo AI provides an end-to-end generative AI infrastructure that ensures security, privacy, and compliance across on-premise and cloud environments. Its platform includes automated evaluation, risk remediation, and real-time guardrails, enabling enterprises to deploy AI applications that meet regulatory standards while minimizing operational risks.

Buddywise is a platform that utilizes computer vision and AI to provide real-time risk detection for workplace safety, enabling organizations to identify unsafe situations as they occur. By automating continuous safety monitoring, Buddywise helps companies reduce incident probabilities and improve their safety performance tracking.

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.

Guardare offers an AI-powered cybersecurity platform that unifies asset discovery, risk identification, and compliance management. It provides a real-time view of an organization's digital assets and vulnerabilities, enabling proactive threat mitigation and streamlined adherence to security standards.

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.

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.

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.

Supply Wisdom automates risk management and monitoring for third-party vendors through data analytics and machine learning algorithms, providing businesses with real-time insights into potential supply chain risks. This technology enhances decision-making and compliance by delivering timely information on vendor performance and location-related threats.

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.

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.