Aegisora

Product Introduction

1. Definition: Aegisora is an open-source, zero-latency proxy layer specifically engineered for application security (AppSec) and DevOps teams. It functions as a security gateway for Large Language Model (LLM) applications and autonomous AI agents.
2. Core Value Proposition: Aegisora exists to provide enterprises with operational control and concrete security for their AI deployments. It moves beyond abstract "AI safety" claims by delivering real-time, actionable security features like prompt interception, API governance, and data masking directly within the request flow.

Main Features

1. Zero-Latency Malicious Action Interception: Aegisora operates as a high-performance proxy, analyzing all inbound prompts and outbound LLM responses in real-time. It uses pattern matching, heuristic analysis, and allow/deny lists to identify and block malicious intents—such as prompt injection attacks, data exfiltration attempts, or policy-violating content—without adding perceptible delay to the user experience.
2. Least-Privilege API Access Enforcement: The proxy enforces granular, context-aware access controls for APIs called by autonomous agents. It acts as a policy enforcement point (PEP), ensuring agents can only access specific endpoints, with defined parameters and rate limits, based on the session context and predefined security policies, drastically reducing the attack surface from compromised or errant agents.
3. On-the-Fly PII Masking & Sanitization: Aegisora scans both input prompts and LLM-generated outputs for personally identifiable information (PII) like credit card numbers, social security numbers, and names. It can dynamically mask, tokenize, or redact this sensitive data before it reaches the LLM or is returned to the end-user, helping organizations maintain data privacy and compliance with regulations like GDPR and CCPA.
4. Structured, Readable Audit Logging for Agents: Unlike traditional logs that capture only API calls, Aegisora generates human-readable audit trails that map the entire reasoning chain and action sequence of autonomous agents. This includes the agent's goal, the prompts it constructed, the decisions it made, and the APIs it called, which is critical for security forensics, compliance auditing, and debugging agent behavior.

Problems Solved

1. Pain Point: Enterprises face significant risk when deploying LLMs and autonomous agents due to a lack of runtime security controls, potential for data leakage, and unpredictable agent behavior that can lead to unauthorized API access or compliance violations.
2. Target Audience: Primary users are Application Security Engineers, Cloud Security Architects, and DevOps/SRE teams managing AI application infrastructure. Secondary users include Compliance Officers and AI/ML Engineering Leads responsible for the safe production deployment of AI agents.
3. Use Cases: Securing customer-facing AI chatbots from prompt injection and data theft; governing internal co-pilot agents that have access to sensitive internal APIs; ensuring compliance in healthcare or financial AI applications by masking PII; enabling forensic analysis after a security incident involving an autonomous agent.

Unique Advantages

1. Differentiation: Unlike bulky API management gateways or siloed security tools, Aegisora is a lightweight, purpose-built proxy focused solely on the unique threat model of LLMs and agents. Its open-source nature provides transparency and avoids vendor lock-in, contrasting with proprietary "AI safety" platforms.
2. Key Innovation: The integration of zero-latency security enforcement directly into the proxy layer is its core technical innovation. By combining the functions of a web application firewall (WAF), API gateway, and data loss prevention (DLP) tool into a single, optimized layer for AI traffic, it eliminates the performance and complexity overhead of traditional middleware stacks.

Frequently Asked Questions (FAQ)

1. How does Aegisora achieve zero-latency security for LLMs? Aegisora is engineered as a lightweight proxy that performs security checks inline with the network request/response cycle using highly optimized algorithms. It avoids external API calls for decision-making during the critical path, ensuring security enforcement does not degrade the end-user experience of the AI application.
2. Is Aegisora suitable for high-traffic production environments? Yes, as an open-source proxy layer, it is designed for scalability and can be deployed as a sidecar container or within a service mesh architecture to handle high volumes of LLM traffic, making it production-ready for enterprise AI agent deployments.
3. What types of PII can Aegisora detect and mask? Aegisora can be configured with detection rules for common PII formats including credit card numbers (PCI), social security numbers (SSN), email addresses, phone numbers, and custom regex patterns, allowing it to sanitize data dynamically for various global compliance standards.
4. How does Aegisora help with compliance for AI applications? By providing enforceable policies for data handling (PII masking), detailed audit logs of all agent activities, and access controls, Aegisora generates the necessary evidence and enforcement mechanisms to help meet requirements of GDPR, HIPAA, SOC 2, and other regulatory frameworks governing AI system use.