Best AI Security Solutions Software - Page 3

AppTrana

AppTrana API is a fully managed API security platform that provides continuous API discovery, automated vulnerability detection, and real-time protection against API attacks. It combines 24/7 AI-driven intelligence with human-led operations to deliver runtime security with a Zero False Positive Guarantee. Trusted by over 6,500 customers across 95+ countries, it offers unmetered protection with 100% availability. AppTrana API includes SwyftComply, an industry-first autonomous remediation capability that virtually patches API vulnerabilities without code changes, enabling zero-vulnerability compliance reports.

Average Rating: 4.8/5.0

Total Reviews: 34

NoPII

NoPII is a reverse proxy designed to protect sensitive data in Large Language Model (LLM) interactions by detecting and tokenizing personally identifiable information (PII) before it leaves your environment. This ensures that data such as names, Social Security Numbers (SSNs), email addresses, and more are replaced with deterministic, format-preserving tokens prior to reaching the LLM provider. Upon receiving the LLM's response, NoPII detokenizes the data, restoring the original values seamlessly. Integration is straightforward, requiring only a single line of code change to your existing setup. Key Features and Functionality: - PII Detection and Tokenization: Automatically scans incoming requests for PII, including names, emails, SSNs, and addresses, replacing each with a consistent token before the request exits your network. - Sanitized Forwarding: Transmits the sanitized payload to supported LLM providers (such as OpenAI, Anthropic, and Google) using your own API key, ensuring that no PII crosses the boundary. - Response Detokenization: Intercepts the LLM's response, mapping tokens back to their original values, and delivers the fully restored response to your application. - Rapid Integration: Achieves time-to-protection in under five minutes with a simple base URL change, eliminating the need for SDKs, middleware rewrites, or architectural modifications. - Intelligent Tokenization: Maintains entity relationships across messages through deterministic tokenization and employs context phrase neutralization to prevent LLM safety refusals on tokenized data. - Compliance and Security: Operates on PCI Level 1 and SOC 2 Type II certified infrastructure, providing a full audit trail for every request and ensuring fail-safe operations where PII never leaks, even in error scenarios. Primary Value and User Solutions: NoPII addresses the critical need for safeguarding sensitive information in AI-driven applications by preventing PII exposure during LLM interactions. By seamlessly integrating into existing workflows with minimal code changes, it enables organizations to leverage the power of LLMs without compromising data privacy or regulatory compliance. This solution is particularly beneficial for industries with stringent data protection requirements, such as healthcare, financial services, legal, customer support, and human resources, allowing them to adopt AI technologies confidently while maintaining the highest standards of data security.

Average Rating: 5.0/5.0

Total Reviews: 1

Prisma AIRS

Prisma AIRS is the industry's most comprehensive AI security platform. It replaces fragmented point tools with a single, unified control plane that matches the speed of AI innovation. The platform enables enterprises to discover AI everywhere, assess risk continuously, protect against threats, and govern every AI interaction across apps, models, agents, and data.

Average Rating: 5.0/5.0

Total Reviews: 1

24Observe

3dEYE

AccuroAI Shield

From discovery to protection to compliance AccuroAI gives you end-to-end control over every AI interaction in your organization. Deploy in minutes, not months.

Ackuity - Agent Execution Guardrails

Ackuity - Agent Execution Guardrails is AI security software that protects autonomous AI agents by intercepting threats at runtime. Operating within the execution loop, it prevents malicious actions before they damage systems, governing workflows and decisions beyond standard chatbot interactions. Policy-driven enforcement monitors actions with dynamic risk scores, halting operations when threats are detected. It prevents data exfiltration, unauthorized API calls, and cascading attacks, while intercepting multi-agent threats and enforcing granular access control. Immutable execution logs provide forensic documentation for investigations and compliance. The platform supports threat models and custom policies, addressing scenarios like prompt injection, jailbreaks, unauthorized data access, multi-agent collusion, malicious tool calls, and memory poisoning.

Act Security

Act removes excessive access across your cloud, eliminating the attack paths every breach relies on.

Actualyze AI

Actualyze is an AI governance platform that controls who can use which models, what data reaches AI providers, and what every call costs, across your apps, agents and teams. AI adoption is moving faster than the controls around it. Teams connect to model providers with shared API keys, agents call tools and other models on their own, and usage bills arrive with no way to tell who spent what. Security, platform and finance leaders are left without answers to basic questions: who has access, where the data is going, and what it costs. Actualyze is an AI governance platform that sits between your applications and your inference. Every request from your apps, agents and coding tools follows one governed path. Govern: Set per-team, per-model access with RBAC and SSO. Add budgets with hard caps, alerts and per-key limits. Approvals are routed automatically. Secure: Every prompt, response and tool call is scanned inline. PII and credentials are masked before they reach a provider, only approved MCP tools can run, and an append-only audit trail is ready for your auditors. Operate: Manage public, private and self-hosted models in one curated catalog. Stage, test and deploy with approvals, and track live health and latency for each model. Optimize: Virtual Models route each call by capability, optimize for cost, quality or both, and fail over automatically across providers. Actualyze works with OpenAI, Anthropic, Google, Azure, AWS Bedrock and self-hosted models. It supports OpenAI- and Anthropic-compatible APIs and SDKs, and coding tools like Claude Code, Codex, Cursor and GitHub Copilot. You can make your first governed call in about five minutes by changing three settings: base URL, API key and model name. Start a 30-day free trial with no credit card required, or book a demo at actualyze.ai.

Acuvity

Acuvity is a comprehensive AI security and governance platform designed to help enterprises securely adopt and manage Generative AI (GenAI) technologies. By providing granular visibility and control over GenAI applications, Acuvity enables organizations to monitor usage, enforce security policies, and ensure compliance with regulatory standards. This model-agnostic solution supports a wide range of AI models, services, and tools, facilitating safe and efficient GenAI integration across various enterprise environments.

Aegara Trace

Aegara Trace is a comprehensive AI observability platform designed to provide organizations with real-time visibility into the actions of their AI systems. By monitoring every read, write, transformation, and API call made by AI tools, Aegara Trace ensures that businesses can oversee and manage their AI operations effectively. Key Features and Functionality: - Total Visibility: Offers real-time monitoring of all AI activities, including data access, processing, output creation, external requests, memory storage, and decision routing. - Sensitivity Awareness: Detects when AI systems interact with confidential or restricted data, enabling prompt risk identification without hindering operations. - Broad Compatibility: Supports native integration with multiple AI providers such as OpenAI, Azure OpenAI, Anthropic, Gemini, Bedrock, Cohere, Mistral, and over 30 others via LangChain, ensuring seamless observability across diverse AI tools. - Privacy-Centric Monitoring: Focuses on behavioral metadata rather than content, ensuring that sensitive data like prompts, responses, and file contents are neither read nor stored. Primary Value and Problem Solved: Aegara Trace addresses the critical need for transparency and control in AI operations. By providing a unified control plane to monitor AI behaviors, it empowers organizations to: - Enhance Security: Quickly identify and mitigate risks associated with AI interactions with sensitive data. - Ensure Compliance: Maintain adherence to regulatory standards by having a clear audit trail of AI activities. - Optimize Performance: Gain insights into AI system behaviors to improve efficiency and effectiveness. In essence, Aegara Trace offers a robust solution for organizations seeking to maintain oversight and governance over their AI ecosystems, ensuring responsible and secure AI deployment.

Agen.co

Agen.co is the identity-native agentic governance platform for enterprises adopting AI at scale. It lets security and IT teams become AI-native in a secure way, anchoring every AI agent to the identity behind it, governing every action at the moment it happens, and maintaining a complete audit trail traceable to a named, accountable human. The Problem Enterprises are deploying AI agents faster than they can govern them. Employees use Microsoft Copilot, Claude, ChatGPT, Cursor, and dozens of other tools to connect to corporate systems - often through unapproved integrations and reused API keys that security teams have never reviewed. In most organizations, the substantial majority of operating AI agents are not inventoried and not subject to any runtime governance. The access controls built for human users operate at quarterly cadence; AI agents act at millisecond cadence. Agen.co fixes that gap. How It Works Agen.co operates across three functions: Discover, Broker, and Govern. Discover scans identity providers (Okta, Microsoft Entra, Google Workspace), sanctioned AI platforms (Agentforce, Copilot, Bedrock, OpenAI), cloud environments (AWS, Azure, GCP), and endpoints to surface every AI agent operating in an organization - including shadow AI. All agents are unified into a single registry with a 0–100 Trust Score. Broker routes agent-to-system connections through Agen.co's MCP gateway - 150+ in-house connectors, a three-day SLA for new requests, and OpenAPI-to-MCP translation for any REST or GraphQL API. Enterprise credentials are vaulted and proxied; agents receive scoped, per-task tokens. Govern issues real-time authorization verdicts (ALLOW, DENY, STEP-UP, MASK, or APPROVAL-REQUIRED) in under 30 milliseconds. The policy engine combines static role-based rules with dynamic behavioral anomaly detection. Sensitive data is masked at the gateway using reference-token substitution across approximately 90 PII, PHI, financial, and secrets categories. High-risk actions route to human approvers via Slack, Teams, or email, with step-up MFA required. Every action is logged in a signed audit trail streamed to SIEM. For coding agents on developer machines (Cursor, Claude Code, GitHub Copilot), AgenShield provides on-device governance at the LLM-tool-call boundary - blocking destructive commands before they execute. Compliance and Deployment Certified SOC 2 Type II and ISO 27001. Six compliance packs: SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, NYDFS. Available as SaaS, hybrid (data plane in customer VPC), or fully self-hosted. Customers include Cisco, Rapyd, and Apono. About the Company Agen.co is built by Frontegg, founded in 2019 by Sagi Rodin (CEO) and Aviad Mizrachi (CTO). Frontegg's B2B Customer Identity and Access Management platform - the seven-year foundation Agen.co is built on - serves hundreds of enterprise SaaS companies globally. Frontegg has raised $70 million from Insight Partners, Pitango, and Stripes, with headquarters in San Francisco and R&D in Tel Aviv.

Agent Access Security Broker (AASB)

Unbound is the Agent Access Security Broker (AASB) built for AI coding agents. Discover, assess, and enforce policy across every agent in your org.

AgentGuard

In a single click, with 0 complicated setup Save costs (tokens) with Claude Code: - smartly reference cache for already read files - compress shell outputs - better replacements for grep, find etc Guardian Agent for coding agents: - Smart disallow for sensitive data reading by coding agents - Nudge the agent to use updated versions of libraries instead of relying on memory - Block the agent from using compromised libraries etc (protecting against attacks or agent mistakes)

Agentic AI Protection

Radware Agentic AI Protection is a service that helps organizations discover, govern, and secure the AI agents operating across their environment, including unsanctioned "shadow AI" such as external services like Perplexity used without approval. It continuously maps agents, tools, and their access to enterprise resources such as databases and file repositories, and provides governance reporting aligned with frameworks like ISO 42001, the NIST AI Risk Management Framework, and the EU AI Act. The service evaluates AI risk posture across agents and tools, identifying sensitive data exposure and potential attack paths. It provides real-time, intent-aware behavioral protection against threats specific to autonomous AI systems, including prompt injection, agent behavior hijacking, tool misuse, memory poisoning, and supply chain attacks between agents. It integrates with agent platforms such as Microsoft Copilot, Azure AI Foundry, AWS Bedrock, Anthropic Claude Code, OpenClaw, and N8N.