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 is a company that specializes in networking technologies, particularly Internet Protocol (IP)-based solutions. It was established in 1984 by a group of computer scientists from Stanford University. As of today, Cisco has a global workforce, continuing to innovate in various fields, notably in routing and switching. Adding to its core business, the company also delves into emerging technologies including home networking, IP telephony, optical networking, security features, storage area networking, and wireless technology. Moreover, Cisco extends its expertise to offer a sweeping range of services such as technical support and advanced services. The company sells its products and services on an enterprise level, to commercial businesses, service providers, and end-users.
Palo Alto Networks is a global cybersecurity organization shaping the future of cloud-centric technology. The main business objective is to provide effective cybersecurity solutions, maintaining and valuing the digital way of life. It addresses the significant issue of maintaining digital security in an increasingly online-centric world. The company utilizes innovative approaches leveraging advancements in artificial intelligence, analytics, automation, and orchestration. Offering an integrated platform and bolstering a burgeoning ecosystem of collaborators, it assures protection across various platforms including clouds, networks, and mobile devices. The organization envisions a progressively safe and secure digital world each day.
Prompt Security is a company dedicated to enhancing the adoption of Generative AI for enterprises, and safeguarding against the various risks that could affect their applications, employees and customers. It scrutinizes every application of Generative AI — encompassing AI tools used by workforce and GenAI incorporations in client-centric products. The company diligently examines each prompt and model response in AI to prevent the divulgence of confidential data, stop objectionable content, and secure against GenAI-specific threats. Additionally, it offers governance and comprehensive visibility of the AI tools being utilized in enterprises for their respective leadership teams. Essentially, Prompt Security facilitates organizations to securely implement Generative AI.
AI offers transformative potential for your organization, but also brings significant security and governance complexities. The Aim platform helps detect and mitigate these risks as adoption accelerates, empowering security teams to work collaboratively across the organization and unlock AI’s full business value.
The focus of the company is to reconstruct the approach to observability via a real-time streaming analytics pipeline. This pipeline offers monitoring, visualization, and alerting capabilities whilst eliminating the challenges of indexing and excessive costs. The company facilitates users to establish various data pipelines per use case, offering profound insights at a significantly lower price. In essence, the main business problem the company solves is to streamline the future of data.
Cranium is an enterprise AI Governance and Security software firm, enabling organizations to gain visibility, security, and compliance across their AI and GenAI systems. Organizations can map, monitor, and manage their AI/ML environments against adversarial threats without interrupting how teams train, test, and deploy their AI models through its Cranium AI Governance platform. It also enables organizations to quickly gather and share information about the trustworthiness and compliance of their AI models with their third parties, customers, and regulators.
The Portal26 GenAI Adoption Management Platform provides enterprises full visibility and control of all Generative AI usage to enable them to securely embrace and accelerate its competitive promise. For CISOs and security teams, they can in real-time isolate and prevent risk, discover ShadowAI, protect data and IP, allow for rapid audits and forensics, and support rigorous governance. For CIOs, CFOs and Dept. heads, their access to wide and deep employee GenAI consumption analytics provides valuable insights to determine GenAI use cases, strategy, adoption, and ROI, to achieve program objectives. Regardless of your current stage of enterprise GenAI adoption, Portal26 rapidly enables your buildout of a trusted, responsible GenAI program that lifts long-term organizational competitiveness and productivity.
CalypsoAI is an enterprise-grade AI security company that provides a unified platform to secure AI systems, applications, and agents at the inference layer.
Founded in 2018, CalypsoAI began by supporting national security use cases and has since expanded into the commercial sector, helping organizations adopt generative AI safely and responsibly. The CalypsoAI Platform delivers real-time threat prevention, agent-driven red-teaming, and centralized oversight to protect against prompt injection, data leakage, and evolving AI-specific threats. CalypsoAI is used by Fortune 500 companies across sectors such as financial services, consumer goods, and critical infrastructure.
The platform includes autonomous red-teaming tools, customizable defensive scanners, and enterprise-wide observability to enable continuous protection and compliance with emerging AI regulations.
Grip Security focuses on providing a SaaS security platform that enables organizations to identify, investigate, remediate, and automate risks related to SaaS and GenAI applications. The platform addresses challenges such as visibility into application usage, management of sanctioned and unsanctioned applications, and control over account duplication and unused licenses. Grip Security’s solution is designed to help organizations improve control over their SaaS environments and optimize application usage by reducing unnecessary accounts and deployments.
Prediction Guard provides a platform focused on enabling organizations to adopt AI while maintaining data privacy and managing risk. The company addresses the challenge of secure AI development by allowing self-hosting of language models within an organization's infrastructure. Prediction Guard supports the implementation of AI security practices, including protection against vulnerabilities such as prompt injections and supply chain exposures, and alignment with industry guidelines. The platform offers tools for integrating AI workflows, applying privacy filters, and validating outputs to reduce risks such as incorrect responses, toxic content, and leakage of sensitive information.
Quilr addresses the challenge of securing enterprise environments as organizations adopt artificial intelligence and manage increasing volumes of data. The platform integrates data protection, AI security, and workforce collaboration into a single solution, aiming to eliminate security gaps that can occur when these elements are managed separately. Quilr applies automated controls to protect sensitive information across various channels, implements safeguards for AI interactions, and incorporates security workflows into employee activities to support real-time risk mitigation. The system is designed to facilitate the safe use of artificial intelligence while maintaining data security and continuous operational workflows.
Akamai powers and protects life online. Leading companies worldwide choose Akamai to build, deliver, and secure their digital experiences – helping billions of people live, work, and play every day. Akamai Connected Cloud, a massively distributed edge and cloud platform, puts apps and experiences closer to users and keeps threats farther away.
Akto is the Industry-first Agentic AI Security platform for AI Security teams that helps in Discovery, red teaming and enforcing guardrails on AI agents, MCPs and GenAI apps. 100+ Modern AI Security teams globally trust Akto for:
- MCP Security
- AI Agent Security
Astrix protects enterprises from their fastest-growing blindspot — AI agents and Non-Human Identities (NHIs) that outnumber employees 100:1 and fall outside traditional IAM.
Astrix enables enterprises to discover every AI agent and NHI, secure excessive privileges and real-time threats, and deploy agentic AI safely with secure-by-design guardrails like just-in-time access — allowing organizations to adopt AI securely and at scale.
Aurascape provides solutions that address security challenges associated with the integration of artificial intelligence within organizations. By offering an AI security platform, Aurascape aims to help businesses manage and reduce risks linked to the adoption and operation of AI technologies. The company's focus centers on enabling secure implementation of AI systems, allowing organizations to address potential vulnerabilities related to data protection, access control, and threat detection as they incorporate AI into their operations.
Cyata is focused on AI agent governance and security, helping organisations discover, assess, and control autonomous AI agents operating across endpoints, browsers, SaaS applications, and custom environments.
As organisations accelerate adoption of agentic AI, security teams face a new class of identity risk - agents that act independently, chain tools and permissions across systems, and operate beyond the reach of traditional controls. Cyata treats AI agents as first-class identities, enabling security and IT teams to gain visibility into agent usage, assess risk and permissions exposure, apply policy guardrails, and govern sensitive agent actions in real time.
Cyata was founded to close the gap between AI agent adoption and security readiness, supporting organisations in embracing agentic AI without compromising security posture.
DeepKeep addresses the challenge of securing machine learning pipelines by providing AI security solutions tailored for vision data models, large language models, and tabular models. The company focuses on risk assessment, prevention, detection, monitoring, and mitigation within AI systems. DeepKeep’s AI-native approach supports multimodal protection across various source domains, models, and datasets, targeting vulnerabilities and enhancing the resilience of AI infrastructure.
DTEX provides a risk-adaptive security platform that helps organizations to identify and reduce human, data, and AI-related risk. The platform uses behavioral analytics and privacy-by-design telemetry to detect anomalous activity, support investigations, and enable risk-based response. DTEX combines Insider Risk Management, Data Loss Prevention, User and Entity Behavior Analytics, User Activity Monitoring, and AI security capabilities into a unified solution, so security teams can monitor activity, understand context and intent, and reduce the likelihood of data loss and security incidents.
FireTail is an end-to-end AI security platform that provides the visibility, insight, and control necessary to enable secure AI adoption, foster innovation, and harness the full potential of AI without exposing the organization to unnecessary risk.
HiddenLayer's AI Security Platform secures agentic, generative, and predictive AI applications across the entire lifecycle, including AI discovery, AI supply chain security, AI attack simulation, and AI runtime security. Backed by patented technology and expert-driven adversarial AI research, HiddenLayer protects IP, ensures compliance, and enables safe adoption of AI at enterprise scale.


















