#AI security
15 tools curated for you
Catch security vulnerabilities before production deployment with continuous penetration testing that simulates real-world attacks Pinpoint specific threats like prompt injections and data exfiltration using versioned probe packs locked to your model versions Block unsafe deployments automatically by integrating AI security checks as unit tests in your CI/CD pipeline Track security improvements over time with a simple 0-10 scoring system that compares models and releases Share reproducible security verdicts with stakeholders using detector-based assessments across multiple threat categories Maintain audit compliance with clear ownership tracking and change history for all security testing activities Test against thousands of evolving attack vectors from community marketplace and custom probe packs Secure any LLM provider including OpenAI, Anthropic and Azure with flexible custom endpoint support
Stop sensitive data from leaving your infrastructure with automatic redaction of 28+ PII entity types before prompts reach any third-party LLM provider. Eliminate vendor lock-in and reduce costs by up to 90% through smart routing that selects the most cost-efficient provider for each request across 380+ models. Achieve GDPR, HIPAA, and PCI-DSS compliance without code rewrites by enforcing per-project DLP policies and prompt injection blocking at the proxy layer. Prevent budget overruns with hard per-project spending caps that automatically block requests when funds are exhausted. Keep your data completely private with a stateless proxy that never stores, persists, or trains on your prompts or responses—data exists only in volatile memory during processing. Deploy in minutes with just a two-line base URL change to the OpenAI SDK—no SDK modifications or code refactoring required. Scan images for hidden sensitive data using OCR-based Vision DLP before sending them to vision models for analysis. Gain full visibility into AI usage with audit-ready security logs and a real-time dashboard tracking sensitive data protection and policy enforcement.
Eliminate AI data leaks before they happen with real-time redaction of 28+ PII types from text and images, powered by an AI Firewall that scans every request. Slash LLM costs by up to 90% compared to GPT-4o using autonomous smart routing that selects the most cost-efficient provider from 300+ models for each request. Maintain full data sovereignty and compliance (GDPR/HIPAA/PCI) with a stateless architecture that never stores prompts or responses, only using volatile memory. Integrate security and cost control in minutes with a 2-line code change using the OpenAI SDK-compatible proxy, requiring no major codebase overhaul. Enforce strict project budgets and prevent billing surprises with hard credit limits and token quotas configurable per API key. Avoid vendor lock-in and use your preferred models with a neutral governance layer supporting OpenAI, Claude, Gemini, Llama, and others with BYOK at 0% markup.
Eliminate infrastructure risk from hallucinated runtime actions by intercepting and evaluating every proposed agent action against hard-coded operational boundaries before execution reaches your systems. Achieve full AI auditability with cryptographically signed trust ledgers that record every state transition and API call, providing verifiable provenance for autonomous systems. Stop session amnesia across agent interactions through persistent structural memory that maintains a unified, infinite ledger of state and context across all sessions. Prevent hallucination drift entirely by grounding probabilistic LLM outputs against a factual graph using deterministic inference, ensuring outputs stay aligned with accurate data. Enforce non-bypassable security barriers with hard-coded security matrices that physically block unauthorized actions, giving administrators precise control over what agents can execute. Deploy safe AI agents in FinTech, Healthcare, SaaS, and Legal environments with runtime admissibility controls that assess actions in real-time against policy constraints and state-aware rules. Scale governance across existing workflows seamlessly through integration with MCP, REST APIs, and enterprise AI frameworks without replacing your current orchestration layer.
Eliminate blind spots across your entire AI ecosystem with network-level visibility that scans thousands of AI applications. Prevent sensitive data leakage and IP exposure by tokenizing confidential information before it reaches any AI model. Stop sophisticated attacks at runtime with AI defense that blocks threats before they impact your models or agents. Enforce consistent governance across human employees and AI agents without endpoint clients or browser extensions. Meet compliance obligations effortlessly with granular audit trails generated from every AI interaction. Harden AI models before production deployment using automated red teaming that detects and patches vulnerabilities. Route sensitive requests to secure internal models automatically, based on risk, cost, and purpose. Filter harmful content and chatbot responses in real time with runtime agent governance that preserves business velocity. Gain real-time insights into every AI tool your workforce uses, from sanctioned apps to shadow AI. Deploy nuanced controls and intelligent policies that govern AI usage without interrupting workflow or requiring manual oversight.
Deploy AI agents safely across any workflow with real-time detection of anomalies and unsafe activities through continuous runtime monitoring. Prevent data breaches and rogue agent actions by instantly blocking risky commands, unsafe tool usage, and sensitive data exposure via runtime intervention. Maintain full development autonomy and avoid vendor lock-in with an independent security layer that requires no modifications to existing code, agents, or architecture. Gain live visibility into agent behavior for faster investigation and governance with deep observability across all actions and execution paths. Secure any AI agent framework, from developer tools like Cursor to enterprise platforms like Microsoft Copilot Studio and Salesforce Agentforce.
Stop sensitive data from reaching ChatGPT and other AI tools before it's exposed, by automatically redacting risky content in real-time on your device. Detect and block prompt injections and unauthorized AI agent actions instantly, with local monitoring that intercepts threats at the endpoint. Enforce unified AI usage policies across your entire team without slowing workflows, using a centralized policy engine that tracks who did what and when. Maintain full audit trails for compliance and governance requirements, with complete records of every AI interaction and blocked command. Control AI agent behaviors like file access and data retrieval through allow or deny rules, preventing unauthorized actions from agents like OpenClaw. Achieve strong local privacy and compliance control without cloud dependency, by processing and enforcing all policies directly on the user device.
Eliminate blind spots from unauthorized AI tools with continuous Shadow AI detection that identifies every agent across your SaaS ecosystem. Prevent data breaches before they happen by blocking risky AI applications proactively using real-time threat detection. Instantly map your entire AI landscape with dynamic application discovery that catalogs every connected app in seconds. Control sensitive data access across AI platforms with granular data governance that dictates who can access what information. Automate security response workflows to route and resolve AI-related threats faster than manual processes. Close security gaps left by traditional tools with comprehensive visibility into embedded AI usage and third-party integrations. Confidently scale AI adoption across your organization by managing all agents, from ChatGPT to Copilot, from a single dashboard.
Deploy OpenClaw AI skills with confidence by catching hidden vulnerabilities and malicious code before they reach production — powered by real-time pattern-based scanning against Bitdefender's constantly updated threat intelligence. Eliminate false positives and focus only on genuine threats — an AI model trained to filter out harmless activity confirms each detection in context, so you never waste time chasing ghosts. Understand exactly what system access each AI skill requests before enabling it — the tool reviews permission levels upfront, preventing unauthorized data exfiltration or suspicious file operations. Receive a clear risk assessment report that pinpoints specific security issues and guides you step-by-step on how to harden your AI skill — turning findings into actionable fixes. Stay protected against evolving cyber threats without manual effort — the database refreshes continuously with the latest threat patterns, ensuring your scans catch new obfuscation techniques and backdoors as they emerge.
Eliminate security blind spots across AI agents and APIs with a unified runtime graph that links every component for end-to-end governance. Achieve industry compliance without friction by enforcing a privacy-first control plane tailored to banking, insurance, fintech, healthcare, and retail regulations. Detect real threats, not noise, by capturing auth scopes, identities, and data flows across every API and AI asset for context-rich risk prioritization. Accelerate secure development by integrating security guardrails directly into CI/CD and runtime observability, requiring zero architectural rewrites. Maintain comprehensive visibility into complex AI workflows, chains, and recursive calls through a single runtime graph that tracks every interaction. Prevent data breaches in sensitive sectors like healthcare and fintech with real-time API monitoring and AI threat detection that safeguards patient and transaction data. Scale enterprise growth confidently with runtime AI visibility and governance that protect against vulnerabilities while enabling innovation without delays.
Stop malicious AI agent behavior before execution by detecting prompt injections, tool misuse, and policy drift in real-time, powered by dual analysis of activity logs and reasoning traces. Prevent data breaches and unauthorized actions with block mode that automatically intervenes and halts suspicious agent activities during runtime. Maintain full data sovereignty by self-hosting the entire monitoring stack on your own infrastructure using Docker commands, with no external data transmission. Enforce AI policy compliance continuously as agents operate by defining acceptable behaviors vs. known risks, then catching deviations the moment they occur. Reduce integration overhead to near zero with a Python SDK that wraps LangChain agents in just two lines of code for immediate security coverage. Get instant visibility into agent operations through customizable alerting channels that notify you the second a security event is classified, without waiting for logs.
Eliminate Shadow AI risks by gaining full visibility into every sanctioned and unsanctioned AI tool used across the organization, with continuous monitoring and cataloging of all AI interactions. Prevent sensitive data leakage from AI interactions by enforcing risk-based controls on data movement to and from every generative AI tool, ensuring compliance without blocking productivity. Accelerate digital transformation with confidence by aligning AI adoption with organizational risk tolerance, using detailed risk scoring for each AI tool to guide policy decisions. Understand AI adoption patterns at a glance by identifying the most active AI users, enabling targeted employee education for safe and productive organization-wide AI use. Reveal the complete lineage of data flowing to and from AI tools, tracing origin and transformations to accurately assess data exposure risks and audit trails.
Stop account takeovers and excessive privileges instantly with real-time threat detection across all your SaaS and AI applications Maintain continuous compliance across every business app with automated governance tools that flag misconfigurations and access drift as they occur Eliminate blind spots in your AI environment by gaining full visibility into every AI agent and GenAI application's behavior and data exposure Secure your SaaS supply chain by reducing risky integrations and detecting third-party threats before they cause damage Prevent Shadow AI risks from escalating with runtime security that surfaces AI threats the moment they emerge Resolve security incidents proactively through a self-learning AI that sharpens threat detection with every new signal Map every identity, access event, and risk across your entire ecosystem with an interactive knowledge graph that unifies context in real time Leverage network-scale intelligence from an extensive userbase to stay ahead of emerging threats and vulnerabilities
Stop model leakage and data exfiltration during active AI operations with real-time exploit attempt alerts Detect and block rogue agents by monitoring every action and code generated by AI agents in production Identify misconfigured, unsafe, and vulnerable AI models before they cause damage through continuous vulnerability detection Eliminate blind spots in your AI footprint with full visibility into every model and agent actively running in your environment Focus security efforts on what matters by distinguishing evaluated AI tools from those actually in production use Protect the AI supply chain proactively by hardening running applications against runtime attacks and misconfigurations Accelerate GenAI adoption safely by managing AI security posture without slowing down development velocity
Eliminate unknown threats in your browser extensions by uncovering hidden behavioral patterns and supply-chain vulnerabilities that permissions alone miss, powered by Koi's LLM-first code analysis engine. Make data-driven endpoint security decisions with extensive publisher profiles, breach intelligence, and compliance data from continuous marketplace scans. Stop relying on declared functionality by automatically comparing it against actual code behavior to detect discrepancies that signal risk, with Koi's Wings risk engine. Reduce marketplace risks proactively with a preventive policy module that tracks, governs, and enables software installs across all endpoints based on real-time risk scores. Stay ahead of evolving threats as Koi dynamically updates risk scores with every new software version or change detected in marketplaces and app stores. Validate publisher trustworthiness instantly through cross-marketplace reputation analysis, geographical region data, and open-source knowledge aggregated by AI agents.