Best AI Usage Control Software in South America - Page 2

Proofpoint AI Security is a unified platform designed to help enterprises govern, monitor, and protect the use of AI systems, large language models, and autonomous agents across the organization. It provides visibility into both sanctioned and unsanctioned AI usage, enabling security teams to discover shadow AI tools, observe prompts and responses, and understand how AI interacts with sensitive data in real time. It applies intent-based detection and behavioral analysis to identify anomalies, prompt injection attempts, and risky interactions, while enforcing policies directly during runtime to prevent data leakage and misuse. It reconstructs full AI transactions, from user input to agent actions and outcomes, giving organizations complete traceability and audit readiness. With controls that extend across endpoints, browsers, and AI agent connections, it enables granular access governance and ensures that AI systems only access and share appropriate information.

AccuroAI is an enterprise AI security, data protection, and governance platform designed to give organizations full visibility and control over how artificial intelligence tools and agents are used across their environment. It continuously discovers and inventories both sanctioned and shadow AI tools, spanning browsers, SaaS applications, networks, and autonomous agents, mapping every interaction down to the user, application, and purpose. It operates inline between users and AI models, inspecting prompts and responses in real time to detect and prevent risks such as sensitive data exposure, prompt injection attacks, and unsafe outputs. It applies dynamic data loss prevention by identifying and redacting sensitive information like PII, financial data, source code, and health records before they reach the model, without disrupting workflows. AccuroAI centralizes control through a unified policy engine that enforces governance across human prompts and agent actions.

CyberTide is an AI-native data security platform designed to give organizations full visibility, control, and protection over sensitive data across cloud, SaaS, collaboration tools, and generative AI environments. It combines multiple security capabilities into a unified stack, including Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, allowing teams to detect, classify, and secure data in real time. It uses context-aware artificial intelligence to analyze the meaning and relationships of data rather than relying on keywords, significantly reducing false positives while achieving high-precision detection of sensitive information. It continuously scans data at rest and in motion, across emails, chats, files, and AI prompts, enforcing policies that prevent unauthorized sharing, leakage, or misuse of confidential data such as personal, financial, or proprietary information.

Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security.

Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows.

FireTail is an end-to-end AI security and governance platform designed to give organizations complete visibility, control, and protection over how artificial intelligence is used across their environments. It continuously discovers AI usage across code, cloud infrastructure, APIs, SaaS tools, and browsers, building a real-time inventory of both approved and shadow AI systems to ensure nothing operates outside governance. It captures and analyzes every AI interaction, including prompts, responses, metadata, and user identity, providing deep contextual visibility into how AI models are accessed and how data flows through them. FireTail enables organizations to enforce flexible, context-aware policies through a centralized governance engine, using prebuilt frameworks such as OWASP or custom rules to maintain compliance without slowing innovation. It continuously monitors activity to detect risks like prompt injection, data leakage, model misuse, and anomalous behavior.

Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.

Cyberhaven’s Dynamic Data Tracing technology is a transformative approach to preventing IP theft and other insider threats. Automatically track and analyze the entire journey of your data from its creation through every user interaction. Continuous risk assessment proactively finds unsafe behaviors and practices before they lead to a breach. Full-context data tracing makes policies simpler and more effective with far fewer false positives and user disruptions. In-context user education and coaching drives better behavior and adherence to security best practices. Whether due to malicious actions or a moment of carelessness, data loss can have devastating financial and reputational impacts. Automatically classify sensitive data based on data origin, its creator, and content. Find data even if you didn’t know where to look. Proactively find and mitigate risks whether due to malicious insiders, unsafe behavior, or simple user mistakes.

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.

AI Usage Tracker is a native macOS utility for people who monitor AI coding tools and local-model activity while working. It displays supported account limits, reset times, and agent activity in a compact notch that can sit along the top, bottom, left, or right edge of the screen. Users can review session and weekly usage, receive reset notifications, and select a tracked session to return to work when an agent needs attention. The app supports Claude, Codex, Cursor, Gemini, OpenCode, Kimi, Ollama, and LM Studio; available readings vary by provider and account. For supported local models, it can show context use and generation speed, and separate work and personal profiles can be configured for some services. The installed Mac app requires macOS 15 or later and runs on Apple silicon or Intel Macs.