BeyondGuard
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BeyondGuard is a comprehensive AI security platform designed to enable enterprises to deploy AI with confidence by enforcing robust controls across prompts, tools, and outputs. It protects Large Language Models (LLMs), Retrieval Augmented Generation (RAG) systems, and AI agents in real-time, regardless of the underlying technology stack. The platform addresses the critical problem of sensitive data exposure and adversarial prompts infiltrating AI systems, offering a proactive solution to stop AI risks before they reach the model. BeyondGuard acts as a unified security layer, ensuring every AI interaction—inputs, outputs, agents, and governance—is protected.
How to use BeyondGuard
To leverage BeyondGuard, enterprises integrate it as a unified security layer for their LLMs, RAG pipelines, and AI agents. Users can utilize its real-time threat blocking capabilities to intercept and prevent malicious prompts, data, and actions such as prompt injection, data leakage, jailbreaks, and unauthorized tool use before they reach the model. The platform features a low-code policy builder, allowing security teams and developers to select, tune, or create custom guardrails and apply them consistently across various teams, applications, and environments. Furthermore, BeyondGuard provides a unified risk dashboard for continuous monitoring of AI interactions and security events, enabling tracking of trends, incident drill-downs, and the generation of audit-ready reports for governance and compliance.
Core Features of BeyondGuard
- Real-time Threat Blocking: Intercepts and blocks prompt injection, data leakage, jailbreaks, and unauthorized tool use in milliseconds.
- Low-Code Policy Control: Enables easy creation, versioning, and management of AI security policies without heavy engineering.
- Unified Risk Visibility: Provides a single dashboard for monitoring blocked incidents, tracking trends, and generating audit-ready reports.
- Inference Security & Prompt Safety: Protects against prompt injection, jailbreaks, malicious requests, sanitizes inputs, and enforces token/length controls.
- Model Output & Content Safety: Filters toxicity, hate speech, masks sensitive data (PII, financial), detects hallucinations, and validates RAG outputs.
- Tool & Agent Control: Manages external tool access with role-based permissions, enforces agent behavior, and isolates plugins in secure sandboxes.
- Continuous Monitoring: Real-time monitoring of model interactions, anomaly detection, drift detection, and SIEM/EDR integration for event reporting.
- AI Governance & Compliance: Aligns with GDPR, HIPAA, EU AI Act, KVKK, BDDK, OWASP LLM Top 10, and MITRE ATLAS for regulatory adherence.
- Specific Protections: Includes Malicious File Upload Blocker, PII & Confidential Data Masking, Prohibited Brand-Word Filter, Dangerous Code Detection, Copyright / IP Violation Detector, Unicode / Zero-Width Sanitizer, Schema / Type Validation, RAG Source Compliance Check.
Use Cases for BeyondGuard
BeyondGuard is essential for organizations across various sectors looking to secure their AI deployments. Financial institutions can use it to ensure compliance with regulations like GDPR, HIPAA, and BDDK, preventing data leaks of sensitive customer information when using AI. Healthcare providers can protect patient data (PHI) while leveraging AI for diagnostics or administrative tasks, adhering to strict privacy standards. Any enterprise deploying LLMs, RAG, or AI agents can mitigate risks associated with prompt injection, data leakage, and compliance violations, ensuring safe and responsible AI adoption. It is particularly valuable for regulated industries that require transparent, traceable, and ethically compliant AI usage, as well as for AI product development teams needing built-in security and governance for scalable and trustworthy applications.
Advantages of BeyondGuard
BeyondGuard offers several key advantages for enterprise AI security. Its Real-Time Enforcement capability stops threats in milliseconds, preventing them from ever reaching the models and ensuring immediate protection. The platform provides Standards-aligned Controls, mapped to leading frameworks like OWASP LLM Top 10 and the EU AI Act, offering exportable evidence crucial for compliance. With Low-Code Policy Control, it simplifies the design, versioning, and rollout of guardrail policies from a central console, significantly reducing engineering overhead. BeyondGuard is Model Agnostic, working seamlessly with any LLM, RAG, and agents across various providers and environments, including on-prem, cloud, or hybrid setups. Finally, it delivers Unified Visibility through a single dashboard for comprehensive insights into blocked incidents, their causes, and integrates with SIEM systems for enhanced security operations and audit readiness.
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