Your data stays in your environment. Your AI agents operate under strict governance. Every action is audited.
Architecture designed for the requirements of regulated industries.
Architecture designed for SOC 2 Type 2 certification. Controls aligned with security, availability, and confidentiality trust principles.
Built for HIPAA readiness. Architecture supports protected health information workloads with required governance controls.
Designed for GDPR compliance. Data residency controls keep personal data where your policies require.
WorkingAgents deploys inside your environment — your VPC, your data center, your air-gapped network. The platform orchestrates workloads without extracting data. No third-party ever touches your information.
This is the fundamental difference from managed services. With hosted platforms, your data flows through someone else's infrastructure. With WorkingAgents, your data stays where it is.
Defense in depth — not a single gate, but a series of checkpoints that every request must pass through.
| Layer | What It Does | How It Works |
|---|---|---|
| 1. Gateway Authentication | Verify the caller's identity | WorkingAgents API keys or tokens from your identity provider (Okta, Azure AD, Google Workspace) |
| 2. Gateway Authorization | Determine what the caller can access | MCP Server Groups define which teams can access which tools. Virtual MCP Servers enforce boundaries. |
| 3. Service Authorization | Authenticate with external tools | OAuth2 flows managed per user, per service. The gateway handles token refresh and rotation. |
| 4. Custom Headers | Additional auth for specialized services | Inject custom authentication headers for services that require non-standard auth mechanisms. |
Capability-based and attribute-based access control work together. Grant specific capabilities per user or team, then use attributes for context-dependent access decisions.
Every tool call passes through pre-execution, real-time, and post-execution guardrails. Configurable per tool, per team, per environment.
Validate inputs before any tool runs. Block SQL injection, path traversal, prompt injection, and malformed requests before they reach your systems.
Monitor execution and require human approval for high-risk operations. Configurable risk thresholds per tool and per team.
Inspect outputs before they reach the agent. Redact PII, mask credentials, filter confidential data from responses.
| Guardrail | What It Catches | Modes |
|---|---|---|
| Prompt Injection Prevention | Blocks "ignore all previous instructions" and similar manipulation attempts | Validate / Block |
| PII Detection & Redaction | 20+ PII categories: SSNs, credit cards, emails, phones, addresses, passport numbers | Validate / Mutate |
| Content Safety | Hate speech, self-harm, sexual content, and violence with configurable severity thresholds | Validate / Block |
| Topic Filtering | Block specific domains: medical advice, legal counsel, financial recommendations, profanity | Validate / Block |
| Custom Rules | Your organization's policies, enforced in code. Python-based rules for domain-specific requirements. | Validate / Mutate / Block |
Validate mode rejects requests that violate rules — the agent receives an error and can retry with different inputs. Mutate mode modifies the content to comply — PII is redacted, sensitive fields are masked — and the request proceeds. Choose per guardrail based on your risk tolerance.
Complete audit coverage means you can answer any question about what your AI did, who triggered it, what data it accessed, and what guardrails it passed through — months after the fact.
Every previous technology wave created a new attack surface. Cloud computing demanded cloud security. Mobile apps demanded app security. APIs demanded API security. Each time, the early adopters who skipped governance paid the price in breaches, regulatory fines, and lost customer trust.
AI agents are the next wave — and the threat model is fundamentally different.
A misconfigured API endpoint leaks data when someone finds it. An ungoverned AI agent actively seeks out data, reasons about it, and takes actions — continuously, at scale, without human review. The governance model that worked for APIs doesn't work for agents.
An agent that can query a database, draft a message, and send it — all in a single chain of reasoning — needs controls at every step. Not just at the entry point. Not just at the network boundary. At every decision point in the chain.
That's what WorkingAgents provides. Not security as an add-on. Security as the architecture.
Enterprise security, compliance, and governance — without slowing down your AI teams.