Mighty

Product Introduction

1. Mighty is a security infrastructure platform designed specifically for AI agents, providing enterprise-grade authentication, policy enforcement, and data protection through a client-side Python SDK. It enables developers to implement secure data vaults, encrypted communication channels, and compliance-ready access controls in AI workflows without overhauling existing systems. The platform operates as a trust layer between AI agents and private data sources, ensuring cryptographic verification for all interactions.

2. The core value of Mighty lies in its ability to replace legacy authentication systems with AI-native security protocols, reducing deployment time for compliant agent operations from weeks to minutes. It eliminates exposure of raw secrets while enabling granular permissions, hardware-protected data processing, and real-time audit trails tailored for autonomous AI systems.

Main Features

1. Sidekicks SDK Integration: Mighty’s Python SDK provides prebuilt modules for micro-token generation, encrypted payload handling, and hardware-isolated execution environments to secure AI agent interactions. Developers can embed zero-trust authentication into agents with fewer than 10 lines of code while maintaining end-to-end encryption for sensitive data exchanges. The SDK supports OAuth 2.0 integration and automatic key rotation for API credentials.

2. Headquarters Policy Engine: A centralized control plane enables granular access policies, agent identity provisioning, and compliance reporting via REST APIs. Administrators define role-based permissions, enforce least-privilege access to private databases/APIs, and monitor agent activities through immutable audit logs with cryptographic proof of integrity. The system auto-generates SOC 2/GDPR-ready reports for security reviews.

3. League Collaboration Framework: Mighty facilitates secure agent-to-agent communication across distributed systems using mutual TLS authentication and encrypted message queues. Its multi-tenant architecture supports cross-platform data exchange with privacy-preserving workflows, enabling enterprises to deploy AI teams in hybrid cloud environments without compromising data sovereignty.

Problems Solved

1. Legacy Auth Incompatibility: Traditional authentication frameworks (e.g., API keys, OAuth) lack the granularity and automation required for AI agents, forcing developers to build custom security layers. Mighty resolves this by providing short-lived, context-aware tokens and policy-as-code templates that adapt to dynamic agent workflows while preventing credential leakage.

2. Enterprise AI Developers: The platform targets engineering teams building AI agents that interact with sensitive data in healthcare, finance, or enterprise SaaS applications. It serves organizations requiring FedRAMP, HIPAA, or GDPR compliance for AI-driven operations without sacrificing development velocity.

3. Regulated Workflow Automation: Typical use cases include AI agents accessing private customer databases, executing financial transactions with audit trails, and coordinating multi-agent systems across supply chain/logistics networks. For example, an insurance claims processing agent can securely retrieve medical records while generating real-time compliance reports.

Unique Advantages

1. AI-First Security Architecture: Unlike generic security tools like Vault or Keycloak, Mighty’s policies natively understand agentic workflows, automatically scoping token permissions based on agent intent and environmental context. This prevents overprivileged access common in static RBAC systems.

2. Hardware-Backed Confidential Computing: Mighty integrates with TPMs (Trusted Platform Modules) and AWS Nitro Enclaves to isolate sensitive operations like token signing and PII processing from host environments. This ensures data remains encrypted in memory and during computation, a feature absent in most API gateway solutions.

3. Unified Audit and Control Plane: Competitors typically separate authentication, policy management, and logging into discrete services. Mighty combines these into a single platform with cryptographic audit trails that map every agent action to specific code paths, reducing mean time to detect (MTTD) security incidents by 92% compared to manual monitoring.

Frequently Asked Questions (FAQ)

1. How quickly can we integrate Mighty into existing AI agents? The Python SDK requires adding 3-5 lines of initialization code and decorators to existing API calls, with full deployment possible in under 15 minutes. Prebuilt adapters for LangChain, LlamaIndex, and AutoGen frameworks are available for instant compatibility.

2. Does Mighty support compliance reporting for audits? Yes, the Headquarters module automatically generates timestamped audit logs with cryptographic hashes, meeting SOC 2 Type II and GDPR Article 30 requirements. Custom report templates can be exported via CSV or directly integrated with Splunk/Datadog.

3. Can Mighty secure agent communications across cloud providers? The League component uses cloud-agnostic TLS tunnels and standard x.509 certificates, enabling secure data exchange between agents running on AWS, Azure, GCP, or private data centers. Network policies are enforced uniformly regardless of deployment location.

4. How does micro-token generation improve security? Mighty issues tokens valid for 2-15 minutes with strict scope limitations (e.g., read-only access to a single database column). These are signed by hardware-protected keys and invalidated immediately after use, eliminating risks associated with long-lived API keys.

5. What encryption standards are used for data vaults? All sensitive data is encrypted using AES-256-GCM with keys derived from HKDF-SHA-384, stored in FIPS 140-2 Level 3 validated HSMs. The SDK enforces encryption at rest and in transit, including intermediate caching layers used by AI agents.