Alternatives to TAWA GUARD
Compare TAWA GUARD alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to TAWA GUARD in 2026. Compare features, ratings, user reviews, pricing, and more from TAWA GUARD competitors and alternatives in order to make an informed decision for your business.
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AI Security Guard
AI Security Guard
AI Security Guard is a multi-faceted platform for securing autonomous AI, combining a protection SDK, product tooling, education, and original research on the agentic future. - Protection SDK: Integration-friendly API wrapper designed to shield AI agents from jailbreaks, prompt injection, and other harmful content before it reaches your models. - AgentGuard360: Built on the API: Intercepts AI traffic in real time before malicious content reaches your agents. Two-tier content scanning, supply chain protection, and device hardening in one tool. Privacy-first: Content stays local unless you request premium analysis. - Research: Original analysis on the autonomous AI future and the security, privacy, and safety issues that follow, including reports like Shipping the Future. -
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Bitdefender AI Guardian
Bitdefender
Bitdefender AI Guardian is a macOS security application for people who use autonomous AI agents, including developers and other technical users. It installs a local background service and command-line interface that checks agent activity against user-defined policies. The software inspects prompts, tool calls, MCP servers, installed skills and file access, and can allow, flag or block actions. It can scan skills and MCP servers, help keep credential paths away from agents, and record decisions in an encrypted local audit log for review. Users can also receive private direct-message alerts through a selected chat platform. In its beta, AI Guardian supports Claude Code, OpenClaw and Hermes Agent and is offered free for macOS; the company describes additional operating-system support as planned. It is intended to add controls around agent actions rather than replace an AI model, agent framework or conventional antivirus.Starting Price: $0 -
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Mountain Theory
Mountain Theory
Mountain Theory is the antivirus for AI. It checks every action an AI agent takes before it runs, against rules written in plain English, then allows it, holds it for a person, or blocks it. No signatures to update. Every decision is logged for your auditor. It works with any AI you already use, from coding agents like Claude Code and OpenAI Codex to models in your own environment or the cloud. When an agent tries to work around a block, the workaround is stopped too. When an agent drifts off the task it was given, that is caught. New bad behavior is stopped the day it appears, with no new rule needed. It keeps personal data from leaving your environment and blocks instructions hidden in emails and documents. Rules are written in plain English, with no code. Every decision is logged for your auditor. It works with any AI you already -
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Eyrane
Eyrane
Eyrane is an AI agent security platform in development for security and engineering teams responsible for agents and automated workflows. It is designed to help organizations discover agents, models, tools, MCP servers, identities, credentials, permissions, and connected systems, then map the access paths between them. The platform is intended to apply runtime policies that allow, require review of, or block agent actions according to identity, permissions, tools, and data sensitivity. Eyrane also describes testing agent behavior against prompt injection, tool misuse, privilege abuse, data exfiltration, and MCP-related scenarios. Its proposed use cases include agent inventory and access review, runtime oversight, MCP security, and AI red teaming. Eyrane is designed for security and engineering teams deploying AI agents across business applications and workflows. -
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Prompt Security
SentinelOne
Prompt Security enables enterprises to benefit from the adoption of Generative AI while protecting from the full range of risks to their applications, employees and customers. At every touchpoint of Generative AI in an organization — from AI tools used by employees to GenAI integrations in customer-facing products — Prompt inspects each prompt and model response to prevent the exposure of sensitive data, block harmful content, and secure against GenAI-specific attacks. The solution also provides leadership of enterprises with complete visibility and governance over the AI tools used within their organization. -
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Enkrypt AI
Anaconda
Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance. -
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Cortex Agentic Endpoint Security
Palo Alto Networks
Palo Alto Networks Cortex Agentic Endpoint Security (AES) is an AI-native endpoint security platform designed to protect enterprise devices from risks associated with autonomous AI agents and modern software applications. The platform continuously discovers AI agents, local models, browser extensions, IDE plugins, Model Context Protocol (MCP) servers, and other software components operating on endpoints. Its context-aware risk analysis evaluates software dependencies, permissions, behaviors, and potential security exposures to help organizations prioritize threats. Cortex AES provides automated governance policies and security guardrails that control agent interactions and restrict potentially unsafe software. Its real-time prevention capabilities block malicious agent actions, prompt injection attacks, unauthorized data access, and risky software execution before they cause damage. -
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CyCraft XecGuard
CyCraft
XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information. -
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Harden
Harden
Harden AIF is an agent endpoint security platform for AI coding agents. It evaluates supported agent tool calls before execution using the developer’s intent, session context, organisational policy, and the effect of the proposed action. Harden helps protect against destructive commands, unauthorized access, unintended data transfers, secret exposure, privilege misuse, and other unsafe agent actions. Legitimate actions can proceed normally, sensitive data in supported flows can be safely redacted, and actions that fall outside the developer’s intent or authority are blocked before execution. Harden works across popular coding agents and agentic development tools including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, providing a consistent security layer across the agent ecosystem. -
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The MCP Census
MCP Census
The MCP Census is a web-based evidence-checking service for developers and teams that use Model Context Protocol (MCP) servers. It compares server listings with public signals such as repository identity and status, package availability, hosted endpoint health, registry records, and vulnerability advisories. Users can look up a server or submit an MCP configuration and receive PASS, REVIEW, BLOCK, or UNKNOWN results under a versioned policy, with reasons and supporting evidence. The service is accessible through a website, REST API, and remote MCP server, and can be used in agent workflows and CI checks for configuration changes. Setup guides connect it to coding agents and developer tools. MCP Census is an initial public-evidence gate, not a malware scanner, penetration test, or guarantee that a server is safe to run.Starting Price: $0 -
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Willow
Willow
Willow is a leading enterprise platform for governing AI agents, tools, MCP servers, skills, and plugins. It connects agents such as Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and custom agents to internal systems and SaaS tools, including Jira, GitHub, Slack, and databases, through an MCP gateway. Agents receive human-linked identities, scoped permissions, and audit trails. Security teams define policies, while employees self-serve approved connectors, skills, and plugins. Features include shadow AI discovery; PII redaction and prompt-injection inspection; app- and action-level permissions; SSO, SCIM, and RBAC with Okta, Entra ID, and JumpCloud; SIEM export; token and cost monitoring; and background agents. Willow is available as SaaS, dedicated cloud, or on-premises in a customer VPC. It holds SOC 2 Type II attestation, is GDPR-ready.Starting Price: $0 -
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CardinalOps
CardinalOps
The CardinalOps platform is an AI-powered threat exposure management solution designed to provide organizations with an integrated view of prevention and detection controls across endpoint, cloud, identity, network, and more. It aggregates findings from misconfigurations, unsecured internet-facing workloads, missing hardening controls, and gaps in detection or prevention to give full visibility of exposures and prioritize actions based on business context and adversary tactics. The system continuously maps detections and controls to the MITRE ATT&CK framework to assess coverage depth and identify broken, noisy, or missing detection rules, while also generating deployment-ready detection content customized to each environment via native API integration with major SIEM/XDR tools such as Splunk, Microsoft Sentinel, IBM QRadar, and others. Through its automation and threat intelligence operationalization features, it helps security teams remediate exposure faster. -
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Vulnify
Vulnify
Vulnify is runtime authorization for AI agents. Before a sensitive tool call runs, your code calls check() and gets ALLOW, REVIEW or BLOCK, with a 0-100 risk score and the reasons: action, data sensitivity, destination, volume. REVIEW pauses only that action until a person approves. Start in monitor mode, fail closed by default. Policies as code, Node and Python SDKs (MIT) with LangChain, MCP, CrewAI and LangGraph adapters, and a hash-chained audit log with JSON/CSV export. Free plan available.Starting Price: Free plan available -
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Amplify Security
Amplify Security
Amplify Security created the agentic security harness, a new category of application security built for how software is actually written now, including the surge of AI-generated code. Rather than flagging problems after the fact, Amplify works autonomously inside the CI/CD pipeline to surface and remediate vulnerabilities before they ship. It deploys in the cloud or on-premises and fits existing developer workflows, giving security and engineering teams coverage that keeps pace with modern, high-velocity development. -
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Pillar Security
Pillar Security
Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised. -
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Akto
Akto
Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc. -
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Pi
Pi Security
Pi is an agentic product security platform that builds institutional security memory so organizations can find, fix, and prevent recurring vulnerabilities without slowing development. It continuously ingests codebases, past incidents, pentest reports, tickets, and other security history into a living inventory, giving the system context about how the organization builds and secures software. When a vulnerability is found, Pi traces it to its architectural root cause, searches for variants across the codebase, and helps close the entire class of issue rather than treating each finding independently. Remediation is generated in the context of the organization’s languages, architecture, and conventions, then delivered directly into developer workflows. What the system learns becomes prevention guardrails that can be applied in IDEs and pull requests during design and coding, blocking known insecure patterns before they reach production. -
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Lakera
Lakera
Lakera Guard empowers organizations to build GenAI applications without worrying about prompt injections, data loss, harmful content, and other LLM risks. Powered by the world's most advanced AI threat intelligence. Lakera’s threat intelligence database contains tens of millions of attack data points and is growing by 100k+ entries every day. With Lakera guard, your defense continuously strengthens. Lakera guard embeds industry-leading security intelligence at the heart of your LLM applications so that you can build and deploy secure AI systems at scale. We observe tens of millions of attacks to detect and protect you from undesired behavior and data loss caused by prompt injection. Continuously assess, track, report, and responsibly manage your AI systems across the organization to ensure they are secure at all times. -
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Tragentics
Tragentics
Tragentics is the AI agent security platform that authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols. Tragentics runs no inference and executes no agent logic. It never reads or stores what your agents say. Every agent gets a permanent ID and an Ed25519 identity, keys are encrypted at rest with AES-256-GCM, and every call is authenticated, rate-limited, and recorded as metadata only — never payloads. Protocol-agnostic: it routes MCP, A2A, ACP, OpenAI, ANP, and DID traffic for the agents you already own.Starting Price: $39/month -
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AIM Intelligence
AIM Intelligence
AIM Intelligence is an enterprise AI security platform built to keep AI under control as agents make decisions, call APIs, and take actions across real business systems. It attacks AI before real attackers do and enforces real-time guardrails to keep every agent operating within enterprise policies. Its integrated solutions cover automated AI red teaming, real-time guardrails, and security framework consulting, helping organizations resolve complex AI risks across the full development and production lifecycle. Stinger automates AI vulnerability discovery by generating millions of attack scenarios, supporting end-to-end agentic red teaming beyond prompt-level attacks, testing across text, image, audio, video, and physical AI, and enabling business logic-based custom vulnerability testing. Starfort enforces real-time AI guardrails by detecting and protecting sensitive data such as PII and trade secrets, controlling abnormal API calls from autonomous agents. -
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Secure Traces
Secure Traces
Secure Traces is an AI-first enterprise technology company focused on agentic AI, healthcare and pharmaceutical modernization, cybersecurity, cloud infrastructure, and enterprise applications. Its services include autonomous AI agents, LLM pipelines, AI governance, 24/7 security operations, threat hunting, secure cloud modernization, Oracle platforms, and operational technology security. The company also develops healthcare, pharmacy, payer, and insurance technology solutions designed for regulated environments. Secure Traces supports HIPAA and GxP-aligned workflows and provides cybersecurity services mapped to frameworks such as MITRE. Its delivery model covers assessment, strategy, implementation, monitoring, response, and continuous optimization across complex enterprise environments. -
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Mindgard
Mindgard
Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. Built for security and engineering teams accountable for AI in development and production, it continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validate whether guardrails and controls hold, and show teams how to close each gap. AI red teaming tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, and map findings to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Unlike traditional AppSec tools or manual penetration testing, Mindgard cuts AI risk assessment from weeks to hours, pinpoints and validates defensive gaps, and supports continuous policy compliance as AI systems change. Capabilities: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance. SOC 2 TypeStarting Price: Contact vendor -
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AgentShield
AgentShield
AgentShield is a next-generation identity platform built to verify both human users and AI agents acting on their behalf. It enables organizations to confirm who an agent is, whether the person behind the agent has provided explicit authority, and that the agent is trustworthy, all through APIs and JavaScript integrations. The product includes tools that detect agentic sessions on a website. and enforces identity and permission checks for agent-to-agent or agent-to-service interactions under the open Model Context Protocol Identity (MCP-I) specification. With KYA, businesses can securely manage agent identities and permissions, institute audit-trails, automation workflows, and finely-tuned access control for autonomous systems, thereby protecting themselves from misuse of digital identities and ensuring transparency when AI systems act on behalf of users. -
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General Analysis
General Analysis
General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss. -
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Onyx Security
Onyx Security
Onyx is a secure AI control plane for discovering, protecting, governing, optimizing, and measuring AI agents and models across the enterprise. It gives security, governance, and AI teams visibility into sanctioned and shadow AI across SaaS, cloud, endpoints, and code, including prompts, responses, and agent actions. AI Security helps strengthen posture, identify vulnerabilities, and enforce real-time safeguards against threats and misuse, while AI Governance supports security standards and regulatory requirements with opt-in coverage and policy controls defined in natural language. AI Orchestration reduces friction when setting up agents and MCPs and helps optimize for cost, accuracy, and latency. AI ROI measures adoption, sets goals, and tracks outcomes across departments. The Onyx Guardian Agent acts as a supervisory AI that continuously identifies risks and remediates issues across the platform, helping organizations manage large numbers of agents at scale. -
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Opal Zero
Opal Security
Opal Zero is a just-in-time access governance platform for AI agents that inventories every agent, maps it to an accountable owner, decides each access request, and enforces the decision in the MCP gateway already in place. It gives organizations one inventory across identity providers and AI platforms such as Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, showing what every agent can access and who owns it. Risk Center surfaces access that is off-purpose, unowned, or standing and routes issues to the appropriate owner with an inline fix. Paladin evaluates requests using policy and context, identifies the least-privileged path, respects owner boundaries, and shows the reasoning behind each decision. Policy Insights uses real agent behavior to identify unused access and opportunities to improve access policy instead of relying on one-off remediation. Gateway Enforcement writes approved decisions as scoped, time-bound policy into existing gateways. -
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Lasso Security
Lasso Security
Lasso is an AI security platform designed to help enterprises securely adopt, govern, and protect AI agents and applications throughout their lifecycle. The platform provides capabilities for AI discovery, risk assessment, automated red teaming, runtime protection, and AI detection and response within a unified solution. Organizations can inventory AI assets, map models and system prompts, monitor policy compliance, and gain visibility into AI usage across the enterprise. Lasso focuses on intent-based security, analyzing the behavior and objectives of AI systems rather than relying solely on traditional rule-based approaches. Its platform helps organizations address risks such as prompt injection, model vulnerabilities, unauthorized AI usage, and evolving threats targeting agentic systems. By combining governance, security monitoring, and proactive protection, Lasso enables enterprises to scale AI adoption while maintaining strong security and compliance standards. -
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Flint AI
SandboxAQ
Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.Starting Price: Free -
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NVIDIA Open Agent Safety Platform is an open reference design for continuously monitoring and governing AI agent behavior, helping organizations keep agents isolated, observable, auditable, and within defined operational boundaries. It combines runtime governance, continuous threat detection, and hardware-isolated policy enforcement to secure enterprise AI agents from testing through deployment. NVIDIA OpenShell provides an open-source runtime that separates how agents execute from how they reach data, tools, and external systems, using sandboxed execution and deterministic, zero-trust policy enforcement to control what agents can see, do, and interact with. Policies are enforced outside the agent process, helping limit the impact of unexpected behavior. NVIDIA Sentry adds an independent security layer that observes agent requests and responses, establishes verifiable agent identities, continuously governs access to data, tools, APIs, and services, and can quarantine agents.
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TrojAI
TrojAI
TrojAI is an AI security platform that helps organizations deploy and manage AI agents and applications with greater confidence and protection. The platform focuses on identifying vulnerabilities, preventing prompt injection attacks, safeguarding sensitive data, and securing AI behavior across enterprise environments. TrojAI provides both build-time and runtime security solutions that help organizations assess AI models and protect applications from emerging threats. Its technology continuously monitors AI interactions to detect unsafe actions, unauthorized access attempts, and malicious manipulations. The platform supports compliance with leading security frameworks and standards while integrating across different models, cloud providers, and enterprise infrastructures. Designed for enterprise-scale deployments, TrojAI enables organizations to innovate with AI while maintaining strong governance and security controls. -
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Noma
Noma Security
Noma Security is the complete enterprise AI security platform designed to deliver confidence in agentic AI at scale. Noma Security was named a Gartner Cool Vendors in AI Security, 2025 for delivering deep visibility and AI discovery, agentic risk mapping, security posture management, automated AI red teaming, and AI runtime protection all in one platform. With seamless integration to your AI stack and workflows, and alignment with regulatory compliance frameworks, Noma Security helps teams embrace AI innovation while addressing the unique threats posed by rapid enterprise AI adoption. -
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Bitdefender VPN for AI Agents
Bitdefender
Bitdefender VPN for AI Agents is an installable macOS utility that routes network requests from supported AI agents through Bitdefender VPN servers. It connects Claude Desktop, Cursor, Codex, and OpenCode through Bitdefender MCP tools. Each routed prompt receives a separate encrypted connection and isolated container, which closes when the prompt ends; users can select an exit location for regional testing. The product is intended for individual developers and freelancers using agents for web research, quality assurance, and comparison tasks. It is not a device-wide VPN: traffic outside the supported agent tools is not covered, and the VPN does not conceal prompts from the AI service provider. The beta installer requires macOS 13 or later on Apple silicon; Intel Macs are not supported. The vendor says Windows support is planned. -
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F5 AI Guardrails is a runtime AI security solution designed to protect AI models, applications, agents, and connected data throughout deployment and operation. The platform helps organizations defend against adversarial threats such as prompt injection, jailbreak attacks, harmful outputs, and unauthorized AI behavior. It provides real-time monitoring and enforcement of security policies to prevent data leakage, compliance violations, and misuse of AI systems. Organizations can implement predefined guardrails or create customized policies tailored to specific business requirements and AI use cases. The platform also delivers observability, auditing, and governance capabilities that help organizations maintain visibility into AI interactions and regulatory compliance. By combining threat protection, data security, and AI governance, F5 AI Guardrails helps enterprises operate AI systems more safely and responsibly.
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Snapper
Snapper
Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring. -
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IBM QRadar SIEM
IBM
Market-leading SIEM built to outpace the adversary with speed, scale and accuracy As digital threats loom large and cyber adversaries grow increasingly sophisticated, the roles of SOC analysts are more critical than ever. Going beyond threat detection and response, QRadar SIEM enables security teams face today’s threats proactively with advanced AI, powerful threat intelligence, and access to cutting-edge content to maximize analyst potential. Whether you need cloud-native architecture built for hybrid scale and speed or a solution to complement your on-premises infrastructure, IBM can provide you with a SIEM to meet your needs. Experience the power of IBM enterprise-grade AI designed to amplify the efficiency and expertise of every security team. With QRadar SIEM, analysts can reduce repetitive manual tasks like case creation and risk prioritization to focus on critical investigation and remediation efforts. -
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CloudEagle.ai
CloudEagle.ai
CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and SaaS Security platform that gives enterprises one command center to discover, secure, govern, and optimize their entire SaaS and AI stack, including AI usage control and both human and non-human identities. CloudEagle governs applications, identities, and non-human identities (service accounts, bots, API keys, AI agents) continuously, rationalizing redundant tools and tracking security posture against frameworks like NIST 800. Onboarding takes 30 minutes; savings and governance start day one. To date: $50B+ in spend processed, $3B+ saved. With 500+ integrations, CloudEagle eliminates shadow SaaS and AI, enforces AI usage policies, and secures non-human identities. Slack-enabled, no-code workflows automate onboarding/offboarding, access reviews, license harvesting, and just-in-time access, while an autonomous agent triggers renewals and routes approvals through Slack, Jira, or ServiceNow.Starting Price: $2000/month -
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CYBORA
CYBORA
CYBORA is a Cyber Risk Resilience platform that ties every risk to the live systems and controls behind it, then keeps checking around the clock — so exposure is measured continuously rather than reconstructed once a year. Risks carry owners, treatments, appetite thresholds and live key risk indicators on a 5x5 matrix, with control mapping across ISO 27001, NIST CSF, SOC 2, PCI DSS, HIPAA, GDPR, CIS v8, DORA and NIS2. Third-party risk runs 34 deterministic rules including DORA Article 28 concentration exposure. Assets and AI models are registered and classified for EU AI Act risk. Detection feeds the register directly: OSINT and darknet monitoring, IOC tracking, SOC case management with MITRE ATT&CK mapping and SIEM export to Splunk, Elastic and Sentinel. Business impact analysis, continuity plans and a live crisis workspace close the loop. Delivered from Lithuania, the UK and the US. Private tenant, two 256-bit keys, self-hosting, 20+ languages.Starting Price: $250/month -
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AXYVOR
CipherThought Corp
AXYVOR is an AI-native cybersecurity platform that unifies exposure management, identity threat detection, adversary intelligence, attack path analysis, and executive risk reporting into a single system operated by AI. Built for mid-market and enterprise security teams, AXYVOR continuously maps attack paths across cloud, identity, and endpoint environments, prioritizes the vulnerabilities that create real business risk, and delivers an AI-generated Board Risk Index that translates technical findings into financial and operational impact for executives and boards. AXYVOR integrates natively with leading EDR, SIEM, identity, and ITSM tools (CrowdStrike, SentinelOne, Okta, Splunk, Microsoft Sentinel, and more), deploying in days instead of months, at a fraction of the cost of legacy platforms like CrowdStrike, Splunk, or Wiz.Starting Price: $2500 -
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Cisco AI Defense
Cisco
Cisco AI Defense is a comprehensive security solution designed to enable enterprises to safely develop, deploy, and utilize AI applications. It addresses critical security challenges such as shadow AI—unauthorized use of third-party generative AI apps—and application security by providing full visibility into AI assets and enforcing controls to prevent data leakage and mitigate threats. Key components include AI Access, which offers control over third-party AI applications; AI Model and Application Validation, which conducts automated vulnerability assessments; AI Runtime Protection, which implements real-time guardrails against adversarial attacks; and AI Cloud Visibility, which inventories AI models and data sources across distributed environments. Leveraging Cisco's network-layer visibility and continuous threat intelligence updates, AI Defense ensures robust protection against evolving AI-related risks. -
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Protect AI
Palo Alto Networks
Protect AI performs security scans on your ML lifecycle and helps you deliver secure and compliant ML models and AI applications. Enterprises must understand the unique threat surface of their AI & ML systems across the lifecycle and quickly remediate to eliminate risks. Our products provide threat visibility, security testing, and remediation. Jupyter Notebooks are a powerful tool for data scientists to explore data, create models, evaluate experiments, and share results with their peers. The notebooks contain live code, visualizations, data, and text. They introduce security risks and current cybersecurity solutions do not work to evaluate them. NB Defense is free to use, it quickly scans a single notebook or a repository of notebooks for common security issues, identifies problems, and guides your remediation. -
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HiddenLayer
HiddenLayer
Your AI algorithms represent a unique competitive advantage for your company and come at a considerable expense. A successful adversarial attack against them could cost you that advantage and you would never know it happened. HiddenLayer is the first productized solution for the next security frontier – your AI. HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model’s health and attack surface — without ever needing insight into it or the training set used to create it. Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity and cost. HiddenLayer was founded by ML professionals and security specialists with first-hand experience of how insidious adversarial ML attacks can be to detect and defend against. -
42
Zenity
Zenity
Enterprise copilots and low-code/no-code development platforms make it easier and faster than ever to create powerful business AI applications and bots. Generative AI makes it easier and faster for users of all technical backgrounds to spur innovation, automate mundane processes, and craft efficient business processes. Similar to the public cloud, AI and low-code platforms secure the underlying infrastructure, but not the resources or data built on top. As thousands of apps, automation, and copilots are built, prompt injection, RAG poisoning, and data leakage risks dramatically increase. Unlike traditional application development, copilots and low-code do not incorporate dedicated time for testing, analyzing, and measuring security. Unlock professional and citizen developers to safely create the things they need while meeting security and compliance standards. We’d love to chat with you about how your team can unleash copilots and low-code development. -
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WitnessAI
WitnessAI
WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security. Monitor and audit AI activity and risk with full visibility into applications and usage. Enforce consistent, acceptable use policy on data, topics, and usage. Secure your chatbots, data, and employee activity from misuse and attacks. WitnessAI is building a team of experts, engineers, and problem solvers from around the world. Our goal is to create an industry-leading AI security platform that unlocks AI’s potential while minimizing its risk. WitnessAI is a set of security microservices that can be deployed on-premise in your environment, in a cloud sandbox, or in your VPC, to ensure that your data and activity telemetry are separated from other customers. Unlike other AI governance solutions, WitnessAI provides regulatory segregation of your information. -
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Cato SASE
Cato Networks
Cato enables customers to gradually transform their WAN for the digital business. Cato SASE Cloud is a global converged cloud-native service that securely and optimally connects all branches, datacenters, people, and clouds. Cato can be gradually deployed to replace or augment legacy network services and security point solutions. Secure Access Service Edge (SASE) is a new enterprise networking category introduced by Gartner. SASE converges SD-WAN and network security point solutions (FWaaS, CASB, SWG, and ZTNA) into a unified, cloud-native service. In the past, network access was implemented with point solutions, managed as silos that were complex and costly. This hurt IT agility. With SASE, enterprises can reduce the time to develop new products, deliver them to the market, and respond to changes in business conditions or the competitive landscape. -
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Darktrace / SECURE AI
Darktrace
Darktrace / SECURE AI is an AI security solution that brings every AI interaction across an organization into a single view, helping teams understand intent, assess risk, protect sensitive data, and support policy alignment. It monitors prompts, sessions, and responses in real time across enterprise GenAI tools such as Microsoft Copilot and ChatGPT Enterprise, low-code environments including Microsoft Copilot Studio, high-code platforms such as Amazon Bedrock and SageMaker, SaaS applications, and SASE. Behavioral analytics distinguish normal, business-aligned activity from significant or risky deviations, detecting conversational prompt attacks, malicious chaining, and unsafe actions without relying only on historical attack patterns. Darktrace learns directly from the environment it protects, allowing it to identify novel and AI-related threats on first encounter. -
46
FairNow
FairNow
FairNow equips organizations with all the AI governance tools they need to ensure global compliance and manage AI risk. Loved by CPOs, CAIOs, risk management, and legal professionals, FairNow's features are simplified, centralized, and empowering for the entire team. FairNow’s platform continuously monitors AI models to ensure that every model is fair, compliant, and audit-ready. Top features include: - Intelligent AI Risk Assessments: Conduct real-time assessments of AI models, using their deployment locations to highlight possible reputational, financial, and operational risks. - Hallucination Detection: Proactively detect errors and unexpected answers. - Automated Bias Evaluations: Automate bias evaluations and mitigate algorithmic bias as it happens. Plus: - AI Inventory - Centralized Policy Center - Roles and Controls FairNow’s AI governance platform helps organizations build, buy, and deploy AI with complete confidence. -
47
Truthlocks
Truthlocks Inc.
Truthlocks helps individuals, businesses, and developers create and verify signed digital evidence. Proof Frame turns public statements into shareable proof pages with live verification and local file comparison. APIs and SDKs support record verification, machine identity, and signed AI action receipts. Signature validity, issuer assurance, revocation, and transparency evidence are separate checks; a valid signature does not establish that a claim is factually true. The hosted platform is proprietary, and public integrations have separate licenses. Organizations can issue signed records through hosted workflows, with operations billed by usage.Starting Price: $0 -
48
ZeroDrift
ZeroDrift
ZeroDrift is an enforcement runtime for AI that checks every AI-generated message against the regulations and company policies that apply before the message is sent. Its Anchor compliance enforcement model combines a purpose-built small language model with a deterministic rules engine to evaluate outputs and return one of four decisions: pass, rewrite, block, or escalate. Every verdict cites the exact rule behind the decision, and rewritten content is checked again before delivery. Organizations can define their own internal policies, restricted lists, approval flows, and communication standards, which ZeroDrift enforces alongside built-in regulatory requirements across AI agents, chat, email, documents, marketing, APIs, and other AI surfaces. Guard provides an enforcement API that can sit in front of any AI agent or LLM, allowing applications to act directly on each verdict without rebuilding the existing AI stack. -
49
Credo AI
Credo AI
Standardize your AI governance efforts across diverse stakeholders, ensure regulatory readiness of your governance processes, and measure and manage your AI risks and compliance. Go from fragmented teams and processes to a centralized repository of trusted governance that makes it easy to ensure all of your AI/ML projects are being governed effectively. Stay up-to-date with the latest regulations and standards with AI Policy Packs that meet current and emerging regulations. Credo AI is an intelligence layer that sits on top of your AI infrastructure and translates technical artifacts into actionable risk & compliance insights for product leaders, data scientists, and governance teams. Credo AI is an intelligence layer that sits on top of your technical and business infrastructure and translates technical artifacts into risk and compliance scores. -
50
Strike48
Strike48
Strike48 is the Agentic Operations Platform combining complete log visibility with customizable AI agents that run security, IT, and compliance operations at machine speed. Most organizations monitor only about 60-70% of their environment because traditional SIEM and observability platforms make full log coverage cost-prohibitive. Strike48 closes that visibility gap with architecture that decouples storage from upfront parsing decisions, letting teams ingest and retain all their logs without breaking budgets. Bring your logs or query them where they already live (Splunk, data lakes, cloud, on-prem), no rip-and-replace required. On top of that unified data layer, Strike48 deploys autonomous AI agents that run investigations, correlate and triage alerts, collect evidence, generate and validate detection rules, and hand work off to each other. A human-in-the-loop model ensures people approve critical actions like endpoint isolation and remediation, with full audit trails.
