Best AI Security Solutions Software - Page 20

Protecto

Protecto is the Data Control Plane for Agentic AI. We help enterprises discover, classify, and protect sensitive and confidential data across AI agents, RAG pipelines, and MCP-enabled workflows. Key capabilities: - Discovery and classification of sensitive and context-based data across data stores and AI workflows, in hours rather than weeks - Context-preserving, format-preserving masking that keeps AI outputs coherent - CBAC (Context-Based Access Control) for context-based sensitive information that traditional DLP tools miss - GPTGuard MCP for policy-aware, protected RAG retrieval - Continuous monitoring for privacy and compliance risk - Simple APIs for integration with existing ETL and AI pipelines - Self-guided onboarding with clear documentation

Protegrity

Protegrity secures the data and knowledge layer AI runs on, binding protection directly to the data itself rather than locking access around it. Its platform tokenizes, encrypts, and masks sensitive data at the field and knowledge-graph level, enforcing policy in real time at the point of a prompt, query, or answer — across AWS, Azure, GCP, and OpenShift, with FIPS-validated, post-quantum-ready cryptography. A Control-Enforce-Verify-Execute framework covers autonomous discovery, natural-language policy, secure query and LLM guardrails, and cryptographic identity for agents and models, packaged for teams from single pipelines to full enterprise estates. Protegrity protects data for 8 of the 15 largest global banks, 2 of the 5 largest U.S. health insurers, 4 of the 10 largest North American retailers, and 3 of the world's largest government agencies. With over 330 employees and 150+ patents, Protegrity is positioned as the security layer beneath AI data platforms, models, and cybersecurity tools.

Average Rating: 4.5/5.0

Total Reviews: 14

PryvX

PureML

QuantumShieldAI

QuantumShieldAI is an advanced cybersecurity solution designed to protect organizations against emerging threats posed by quantum computing advancements. As quantum computers become more powerful, traditional encryption methods are at risk of being compromised. QuantumShieldAI addresses this challenge by implementing quantum-resistant algorithms and protocols, ensuring the security of sensitive data and communications in the quantum era. Key Features and Functionality: - Quantum-Resistant Encryption: Utilizes state-of-the-art cryptographic techniques that are secure against quantum attacks, safeguarding data integrity and confidentiality. - AI-Powered Threat Detection: Employs artificial intelligence to monitor and identify potential security breaches, enabling proactive defense mechanisms. - Seamless Integration: Designed to integrate effortlessly with existing IT infrastructures, minimizing disruption and facilitating a smooth transition to quantum-safe security measures. - Continuous Updates: Regularly updates its security protocols to stay ahead of evolving quantum computing capabilities and emerging cyber threats. Primary Value and User Solutions: QuantumShieldAI provides organizations with a robust defense against the vulnerabilities introduced by quantum computing advancements. By adopting this solution, businesses can ensure the long-term security of their sensitive information, maintain compliance with evolving security standards, and build trust with clients and stakeholders. QuantumShieldAI empowers organizations to proactively address future cybersecurity challenges, mitigating risks associated with quantum-enabled attacks.

Quilr

Quint

Quint is behavioral security for AI agents. AI coding agents such as Claude Code, Codex and Cursor now run shell commands, edit files, call APIs and push code with a developer's permissions. Quint shows security teams what those agents actually do, and flags the actions that put the company at risk. Quint watches agent activity at the OS level on macOS: the processes an agent starts, the files it touches, the commands it runs and the connections it makes, alongside the agent's own record of its tool calls. It scores each action for risk in real time, applies policy, and keeps an audit record of each tool call it records on the device. Traditional security tools watch network traffic or scan for known threats. Quint watches behavior: what an agent did, and in what order. Quint deploys through MDM as a signed, notarized installer package plus a configuration profile, with no code changes to the agents. Events flow to the Quint console, where teams review agent sessions, investigate flagged actions and export events to their SIEM. Built for security, IT and platform teams at companies whose developers use AI coding agents on managed Macs.

RaptorX

RaptorX is an AI-native platform designed to provide real-time fraud detection and anti-money laundering (AML) solutions for financial institutions. By leveraging advanced graph analytics and artificial intelligence, RaptorX identifies and mitigates complex financial crimes, including first-time fraud, mule account networks, and synthetic identities, with over 90% accuracy. The platform offers full explainability and operates at enterprise scale, ensuring compliance with regulatory standards across various regions. Key Features and Functionality: - Real-Time Fraud Detection: Monitors transactions across multiple payment channels such as Zelle, ACH, and wire transfers, detecting anomalies like velocity abuse and split transactions within milliseconds. - Account Takeover Prevention: Identifies hijacked sessions and stolen credentials through cross-entity anomaly detection, exposing behavioral deviations indicative of account takeovers. - Synthetic Identity Fraud Detection: Utilizes graph-based entity resolution to uncover fabricated personas that pass traditional KYC checks but fail behavioral analysis. - Elder Fraud and Gift Card Abuse Prevention: Flags behavioral shifts and unusual purchase patterns to protect vulnerable individuals from social engineering attacks. - Business Email Compromise (BEC) Detection: Analyzes payment behaviors to detect deceptive email-based fraud schemes, connecting transactional data to intent through anomaly analysis. - AML Compliance Support: Surfaces AML risks embedded within fraud patterns, including synthetic identities and trade-based money laundering (TBML) triggers, aligning with regulatory frameworks such as FinCEN, OCC, RBI, and SAMA. Primary Value and User Solutions: RaptorX addresses the evolving challenges of financial crime by providing a comprehensive, real-time detection system that adapts to emerging fraud tactics. Its AI-driven approach reduces false positives by 40–50%, enhancing operational efficiency and reducing alert fatigue. The platform's explainable analytics offer clear, regulator-friendly insights, facilitating faster case resolution and compliance reporting. By integrating seamlessly with existing systems, RaptorX empowers financial institutions to proactively combat fraud, protect assets, and maintain trust in their services.

Rasēd

Rasēd's Financial Transaction Intelligence solution leverages artificial intelligence to detect and prevent fraud in real time. By analyzing account data, transaction histories, and customer behavioral patterns, it identifies anomalies and correlates these signals to enhance overall fraud intelligence, enabling faster and more accurate interventions. Key Features and Functionality: - Multi-Source Data Correlation: Integrates account data, transaction histories, device identifiers, and location signals into a unified view, facilitating comprehensive fraud analysis. - Pattern and Anomaly Detection: Identifies unusual sequences, velocity issues, repeated failed attempts, and complex indicators to detect sophisticated fraud schemes that evade simple rules. - Behavioral Analytics: Establishes baselines of normal customer behavior and detects deviations indicating fraud or account compromise, continuously adapting to evolving patterns. - AI-Driven Risk Scoring: Utilizes machine learning models to assign dynamic risk scores based on behavioral, transactional, and contextual factors, enabling real-time decision-making at scale. - Real-Time Detection: Employs AI to detect and prevent fraud instantaneously, analyzing key inputs to facilitate prompt and accurate interventions before losses occur. - External Data Integration: Incorporates customer data, transaction data, and external data sources to strengthen overall fraud-intelligence capabilities with comprehensive context. Primary Value and User Solutions: Rasēd's Financial Transaction Intelligence solution provides financial institutions with a robust tool to proactively detect and prevent fraud, minimizing financial losses and protecting customer trust. By offering real-time detection and comprehensive analysis, it enables organizations to stay ahead of evolving fraud tactics, ensuring compliance and operational efficiency.

Realm Labs

RedNexus AI

Relyance AI

Your 24/7 Data Defense Engineer. Code to Cloud. Relyance AI is an AI-native data security and continuous compliance platform that autonomously tracks and protects sensitive data across code, cloud, SaaS, vendors, and AI systems. Unlike traditional compliance tools that rely on manual workflows and static assessments, Relyance AI continuously discovers data flows directly from source code to runtime environments — giving organizations real-time visibility and policy enforcement across their entire data ecosystem. Built for security, privacy, and engineering teams, Relyance AI enables: • Automated data mapping and Records of Processing Activities (ROPA) • Continuous privacy and regulatory compliance (GDPR, CCPA, AI regulations) • AI governance and third-party risk visibility • Real-time policy violation detection and prevention • Unified oversight across controllers, processors, and sub-processors By eliminating manual oversight and spreadsheet-based compliance, Relyance AI reduces operational burden by up to 80% while strengthening data protection and audit readiness. Visit www.relyance.ai to learn more.

Average Rating: 3.9/5.0

Total Reviews: 5

rheono

Rheono runs continuous red-team testing against your agent fleet and attack surfaces, delivering validated findings on an ongoing basis rather than a one-time assessment. Plans are flat per surface: Starter, Growth, and Pro, with an annual option. New teams can run an initial check before committing to a plan.

RiskAI

RiskAI is an advanced security and compliance automation platform specifically designed for the healthcare industry. By integrating with critical business applications, it conducts continuous security risk analyses that align with the Health and Human Services (HHS) Office for Civil Rights (OCR) requirements. RiskAI automates compliance with over 175 frameworks, including HIPAA, SOC 2, NIST, and ISO 27001, providing clear insights into security risks associated with patient and sensitive data. This automation leads to significant time and cost savings for healthcare providers and health plans. Key Features and Functionality: - Automated Security Risk Analysis: Utilizes NIST's 800-53 security and privacy controls and NIST's 800-30 risk management methodology to analyze systems handling sensitive data. - Comprehensive Framework Assessments: Supports compliance with over 175 cybersecurity and regulatory frameworks, including HIPAA, NIST CSF, PCI DSS, SOC 2, and ISO 27001. - AI-Enabled Risk Management: Employs artificial intelligence to prioritize risk management activities, assist with control implementation, and quantify predictive residual risk scores. - Vendor Risk Management: Manages risk remediation and mitigation through a dedicated vendor risk management portal, ensuring accountability among vendors and business associates. Primary Value and Solutions Provided: RiskAI addresses the complex and time-consuming processes of security and compliance in the healthcare sector by automating critical tasks. It streamlines end-to-end risk management, enabling organizations to efficiently meet compliance obligations and enhance their security posture. By reducing manual efforts and providing real-time insights, RiskAI allows healthcare professionals to focus more on patient care while ensuring the protection of sensitive information.

RiskAI