AI Security and Anomaly Detection Reviews and Ratings
What is AI Security and Anomaly Detection?
AI Security and Anomaly Detection is a market focused on providing runtime protection and monitoring for AI applications, particularly those using generative models like large language models (LLMs). These solutions detect and mitigate risks such as prompt injection, hallucinations, toxicity, biased outputs, data leakage, and performance drift. Delivered as cloud-native modules via APIs or embedded within applications, they offer real-time visibility into content and security anomalies. The market supports compliance with emerging regulations, enables centralized oversight across multiple AI deployments, and helps organizations safeguard their brand and decision-making processes from faulty or malicious AI behavior.
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Cisco AI Defense is an end-to-end security solution for enterprises building AI applications and agents. Its capabilities span the complete AI lifecycle, from development through deployment, enabling businesses to innovate confidently. AI Defense inventories AI assets across distributed environments, automatically tests components like models and MCP servers to uncover vulnerabilities, and provides real-time guardrails to protect AI applications against runtime threats. Leveraging Cisco’s threat intelligence and deep network-level insight, AI Defense provides security coverage purpose-built for AI.
Grip’s AI + SaaS Security Platform is designed to unifying visibility, governance, and control across every app, identity, and AI agent in the enterprise. As SaaS and AI converge into one connected ecosystem, Grip helps organizations secure the core of their operations and govern the rapid adoption of new technologies. The platform automatically discovers unmanaged tools, prevents identity and access risk, reduces license waste, and simplifies compliance reporting. Powered by AI-driven discovery and automated policy enforcement, Grip enables enterprises to securely innovate, improve productivity, and maintain continuous resilience, with a goal of protecting every app, every identity, and every agent.
Protect AI is a software designed to enhance the security of artificial intelligence and machine learning environments by identifying and mitigating potential risks across the AI lifecycle. The software provides visibility into model behavior, deployment pipelines, and data flows to detect vulnerabilities and policy violations. Protect AI integrates with existing development and deployment tools to ensure continuous monitoring and compliance with security standards. It addresses business challenges related to the protection of sensitive data, model integrity, and governance in AI-driven workflows by offering tools for risk assessment, access control, and audit trails, thus supporting the secure operation of AI models in various organizational contexts.
Prompt Security is a software designed to enhance the security of organizations utilizing generative AI applications. The software provides real-time monitoring and detection of threats targeting AI platforms to support data protection and compliance. It offers features that include identifying unauthorized access, alerting on potential vulnerabilities, and facilitating remediation processes. The software integrates with various AI tools to help safeguard against potential risks such as data leaks or prompt injection attacks. It addresses business challenges related to the safe and responsible deployment of AI technologies by delivering visibility and control over AI-related security events and enabling organizations to maintain secure AI environments.
AI offers transformative potential for your organization, but it also brings significant security and governance complexities. The Aim platform helps detect and mitigate these risks as adoption accelerates, empowering security teams to collaborate across the organization and unlock AI’s full business value.
Cranium is software designed to support organizations in securing and managing their artificial intelligence and machine learning environments. The software offers features for monitoring, vulnerability management, and compliance focused on AI workflows and related infrastructure. Cranium provides capabilities to identify and assess risks associated with AI models, ensure adherence to governance frameworks, and streamline reporting for regulatory and security requirements. The software addresses the business problem of managing visibility and reducing risks in increasingly complex AI-driven operations by delivering centralized oversight and controls tailored to AI systems.
Coralogix is a software that focuses on centralized log management and analytics for organizations needing to manage large volumes of log data across their cloud environments. The software enables users to ingest, parse, and analyze logs, metrics, and traces in real time, converting raw data into actionable insights. Coralogix automates the detection of anomalies, monitors application performance, and streamlines compliance reporting. The software provides features such as alerting, visualization, and querying through dashboards, supporting observability and troubleshooting efforts for DevOps, security, and engineering teams. Coralogix helps address challenges related to operational visibility, incident response, and system health monitoring within distributed infrastructure and applications.
Opsin is a software designed to provide security and threat detection for networks and IT infrastructure. The software focuses on identifying and mitigating vulnerabilities, monitoring system activity, and analyzing potential risks to help organizations protect sensitive data and maintain operational integrity. Opsin offers features such as real-time threat intelligence, automated alerts, and comprehensive reporting to support proactive security management. It addresses common business challenges related to unauthorized access, data breaches, and compliance with security standards by ensuring continuous surveillance and assessment of the technology environment.
Portal26 GenAI Adoption Management Platform is a software designed to facilitate the governance, utilization, and oversight of generative AI within organizations. The software enables users to inventory and analyze generative AI applications across different business functions, monitor compliance with corporate policies, and manage operational risks associated with AI adoption. Portal26 offers features such as continuous tracking of usage, real-time reporting, and risk assessments, assisting enterprises in understanding the impact and performance of AI tools. It supports informed decision-making about generative AI implementation and ensures that usage aligns with established standards, addressing challenges related to security, data privacy, and regulatory adherence in AI-driven environments.
Akamai Firewall for AI is a security solution designed to protect AI-powered applications, including large language models (LLMs), from modern cyber threats. It analyzes both inbound AI queries and outbound responses in real time to detect prompt injections, sensitive data leaks, harmful language, and adversarial attacks. The solution provides policy-based controls and adaptive enforcement, enabling organizations to implement responsible AI use and comply with regulatory requirements. Firewall for AI helps safeguard intellectual property, prevent data loss, and reduce compliance risks, supporting secure deployment of AI applications across cloud, edge, and hybrid environments.
CalypsoAI Inference Platform is a software that enables organizations to securely manage, test, and deploy artificial intelligence models. The software provides features for evaluating AI outputs, monitoring performance, and enforcing security policies to help mitigate potential risks associated with the use of AI in business operations. It supports integration with existing workflows and facilitates compliance by enabling organizations to audit and review inference results. CalypsoAI Inference Platform is designed to address challenges related to the safe and verified deployment of AI models, aiming to improve organizational control over AI model usage and reduce the likelihood of model errors or unintended outcomes.
The Control Plane for Agentic Identity, Cyata enables organisations to discover, assess, and govern AI agents across all environments - endpoints, developer environments, browsers, automation runtimes, SaaS systems, APIs, and agent tool-connectivity ecosystems.
Cyata delivers Agentic Security Posture Management (Agentic SPM), providing continuous visibility into every AI agent. The platform maintains a living inventory identifying each agent's identity, ownership, permissions, and integrations. Permission analysis flags excessive privilege and risky access paths.
Full audit capabilities produce defensible trails for compliance and incident response. At the control layer, policies govern agent actions in real time through an MCP gateway - allowlisting tools, denying sensitive actions, and requiring approval for high-risk steps. Agentic SPM ensures organisations are protected before agents act.
Prediction Guard is a software that provides tools for implementing and managing artificial intelligence and machine learning workflows. The software enables users to run, evaluate, and monitor AI models across various deployment environments. It includes features for creating secure endpoints for AI models, implementing policy controls, and ensuring compliance with organizational requirements. Prediction Guard helps address challenges related to reproducibility, governance, and operational integrity in AI deployments, supporting both cloud and on-premises infrastructures. The software also facilitates monitoring and optimizing model performance, aiming to streamline the integration of AI solutions into business processes.
Quilr is a software designed to streamline document workflow processes through automation and Artificial Intelligence. It enables users to create, manage, and analyze documents efficiently by leveraging advanced data extraction and processing capabilities. The software provides features such as automated data capturing from various types of documents, customizable templates, and integration with other business applications, which facilitates increased accuracy and reduced manual effort. Quilr aims to address business challenges related to time-intensive document management tasks and supports improvements in operational productivity and compliance by minimizing errors associated with manual documentation.
AccuroAI is an AI Security & Governance Platform that helps enterprises discover, monitor, and secure the use of 500+ AI tools across their organization. As employees increasingly adopt AI tools like ChatGPT, Copilot, and Gemini — often without IT approval — AccuroAI gives security teams complete visibility into shadow AI usage, prevents sensitive data leaks through AI tools, and enforces governance policies from a single unified dashboard. The platform enables CISOs, compliance officers, and security teams to identify unauthorized AI usage in real time, apply data loss prevention (DLP) controls, classify AI risk levels, and generate audit-ready reports aligned to frameworks including ISO 42001, EU AI Act, GDPR, and SOC 2. AccuroAI bridges the gap between rapid enterprise AI adoption and the governance infrastructure needed to make it safe — enabling organizations to embrace AI productivity without compromising security or compliance.
Airia is an enterprise AI security, orchestration, and governance platform designed to support the deployment and operation of AI systems across organizations. The platform provides controls for managing AI agents, models, applications, and data sources within centralized workflows.
Airia helps organizations address security, governance, and operational challenges associated with agentic and model-driven AI environments, including policy enforcement, access management, monitoring, and risk reduction. It is intended for use in regulated and complex enterprise settings where oversight, auditability, and control are required.
By integrating orchestration and governance capabilities, Airia supports organizations in operationalizing AI while maintaining consistency, visibility, and compliance across AI use cases.
Akto Agentic AI Security Platform is a software that Secures AI agents, MCPs and LLMs in your organization. It does so through modules - Agentic AI Discovery, AI Red teaming, Agentic AI Runtime Protection and threat detection, Guardrails and AI Governance.
Akto connects with your Agent builder applications such as AWS Bedrock, Databricks, Gemini, had ebpf and cloud connectors to monitor runtime activity of AI Agents and Gen AI apps. It also has Agentic AI proxy for MCPs and AI agents to enforce guardrails.
It solves two use cases - Akto for employees and Akto for homegrown Agentic AI assets.
Astrix is a software designed to provide security and visibility for third-party integrations and connections within cloud environments. The software automates the detection and monitoring of non-human identities such as APIs, service accounts, and automation bots that interact with business-critical cloud applications. Astrix enables organizations to identify potential vulnerabilities by mapping the external services and connections used in their ecosystem. It supports continuous risk assessment and management by offering detailed insights into permissions, privileges, and data flows associated with these connections. The software addresses the need for enhanced security and governance by helping organizations mitigate risks related to third-party access and automation.
Aurascape is a software designed to facilitate the creation, management, and deployment of artificial intelligence models for businesses. The software integrates various tools to support users throughout the machine learning lifecycle, including data preparation, model training, evaluation, and optimization. Aurascape offers a platform for collaborative workflows, allowing teams to work together on data science projects and streamline experimentation. Features include automated machine learning, scalable infrastructure for handling data, and support for integration with popular machine learning frameworks. The software addresses common challenges in AI development such as reproducibility, efficiency, and collaboration, providing solutions to organize, track, and monitor machine learning experiments in a centralized environment.
DeepKeep is an artificial intelligence security software designed to identify, monitor, and protect AI models from vulnerabilities and potential threats. The software provides capabilities such as automated risk detection, continuous monitoring of AI models, and mitigation of adversarial risks. It addresses the business problem of safeguarding AI systems from attacks, ensuring reliability and compliance in AI deployments. Through its suite of security assessment tools, DeepKeep aims to improve the robustness of AI models used across various industry applications, enabling organizations to maintain secure and trustworthy operations when integrating AI technologies into their infrastructure.


















