Local VPC and sidecar deployment
Deploys as a lightweight sidecar proxy inside a secure perimeter so raw payloads and PII stay inside the customer environment.
Aegisora is an AI governance and risk monitoring platform for autonomous agents. It helps teams monitor tool and API calls in real time, enforce runtime policies, and generate audit logs inside a secure perimeter.
Aegisora is an AI governance and risk monitoring product for autonomous agents. The site describes it as a narrow control plane for agent tool and API calls that enforces least-privilege access, blocks PII leaks, and produces readable audit logs.
It is built to run inside an organization’s security perimeter, using a local VPC and sidecar proxy model so raw payloads do not leave the environment. The product is presented for teams that need runtime oversight of agents and multi-agent swarms rather than post-hoc analysis only.
Deploys as a lightweight sidecar proxy inside a secure perimeter so raw payloads and PII stay inside the customer environment.
Intercepts tool calls, reasoning traces, prompts, and outputs as they happen, then records the decisions in readable logs.
Applies runtime policies such as least-privilege access, rule-based blocking, dynamic policy enforcement, and fail-closed behavior for critical violations.
Masks sensitive data and flags risky activity, with specific source examples including PII masking, prompt injection prevention, and threat detection.
Creates structured, human-readable audit trails for compliance review, with support for immutable logs and SOC 2 / ISO-oriented oversight.
Lists ecosystem connections for OpenAI, Anthropic, Azure AI, AWS Bedrock, GitHub, Slack, Vercel, Microsoft Teams, PagerDuty, and custom SIEM.
Use the developer sandbox to inspect local agent behavior, add basic guardrails, and test prompt or tool-call handling during engineering exploration.
Run cloud-managed runtime governance when you need continuous enforcement, swarm monitoring, and real-time visibility across multiple agents.
Apply the enterprise deployment model for large organizations that need dedicated infrastructure, on-premise security requirements, and custom policy enforcement.
Use the command-center and alerting integrations to route zero-trust policy violations, masked PII vectors, and prompt-injection attempts into collaboration tools.
Generate immutable, human-readable logs and policy records for SOC 2, ISO 27001, or other compliance review workflows.
Aegisora integrates into AI infrastructure as a runtime control plane that monitors agent actions, prompts, and outputs in real time. The source describes it as a sidecar proxy that intercepts tool and API calls and matches them against governance policies.
The site shows a free signup flow and a free open-source developer sandbox, then paid cloud-managed and enterprise deployment options for larger-scale use. The pricing page also says credits can be added anytime and cancellation is available anytime, but it does not publish exact prices here.
The product highlights local VPC and sidecar deployment, fail-closed behavior for critical security violations, immutable audit logs, PII masking, dynamic policy enforcement, and RBAC with SSO on the enterprise tier.
The homepage and pricing page mention OpenAI, Anthropic, Azure AI, AWS Bedrock, GitHub, Slack, Vercel, Microsoft Teams, and PagerDuty, while the enterprise tier also lists custom SIEM integration.
The site positions Aegisora for security teams, AI infrastructure teams, platform engineering, compliance auditors, DevSecOps, and AI agent developers who need runtime oversight of autonomous agents and swarms.
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