Zero trust by default
Every agent starts with zero permissions. Access to tools, APIs, and data must be explicitly granted. No inherited permissions, no default access, no ambient authority.
AI agent security that’s architecturally impossible to bypass
Most AI platforms rely on access control lists and policy documents. Sprigr Team makes unauthorized access physically impossible through isolated infrastructure, encrypted secrets, and defense-in-depth that operates independently at every layer.
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Physical isolation
Encrypted secrets
Prompt injection defense
Complete audit trail
Policy-based security
Most platforms protect AI agents with access control lists, role-based permissions, and security policies. A single misconfiguration, a single overlooked query path, a single creative prompt injection, and the entire security model collapses.
Architecture-based security
Sprigr Team enforces security at the infrastructure level. Physical data isolation means cross-tenant access is architecturally impossible. Encrypted credentials can never leak because they are decrypted only at runtime in isolated sandboxes. Four independent defense layers mean defeating one does not compromise the others.
Four independent defense layers
Each layer operates independently. Defeating one does not compromise the others.
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Physical data isolation
Every company gets dedicated storage instances on our global edge network. Zero shared databases. Zero shared query layers. Cross-company data access is not prevented by permissions – it is architecturally impossible. Your data does not exist in any storage instance another company’s agents can reach.
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Encrypted secret management
Credentials encrypted at rest in isolated per-company namespaces. Decrypted only at runtime inside sandboxed execution environments. Never stored in plaintext, never written to logs, never included in API responses.
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Prompt injection defense
Platform-level directives instruct AI agents to refuse credential extraction regardless of how the request is phrased. Covers all encoding forms: base64, hexadecimal, reversed strings, URL encoding, character splitting. These directives are injected at the platform level, invisible to end users, and cannot be overridden.
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Runtime sandboxing & audit
Every code execution creates a fresh, isolated environment. No shared memory between instances. Network access is controlled. Every action, tool call, and output is logged with timestamps. Complete visibility into agent behavior.
Policy vs architecture
Two fundamentally different approaches to AI agent security.
| Feature | Policy-Based (Typical) | Architecture-Based (Sprigr) |
|---|---|---|
| Data isolation | Row-level access controls | Physical separation per company |
| Credential storage | Plaintext environment variables | Encrypted at rest, runtime injection |
| Prompt injection | Basic prompt guards | Platform-level directives, all encoding forms |
| Cross-tenant leakage | Depends on access control correctness | Architecturally impossible |
| Audit trail | Partial or optional | Every action logged automatically |
| Security tier | Gated behind enterprise pricing | Same architecture for every account |
Security features built into every account
Credential scoping
Each agent receives only the specific credentials authorized for its role. Read-only API keys for research agents. Write access for deployment agents. Zero over-provisioning.
Output scanning
Agent output is scanned for credential patterns before it reaches logs, APIs, or user interfaces. Even if prompt injection tricks an agent into outputting a secret, the platform catches it.
Compliance ready
Physical data isolation, encrypted credentials, complete audit trails, and private internal communication simplify your compliance story. Architecture-level guarantees, not checkbox compliance.
AI agent security questions
Can AI agents be hacked?
Any AI system can face attacks, but Sprigr Team’s architecture limits the blast radius. Physical data isolation means a compromised agent cannot access other companies’ data. Encrypted credentials mean secrets cannot be extracted even if the agent is tricked. Four independent defense layers mean defeating one does not compromise the others.
What is prompt injection and how do you defend against it?
Prompt injection is when malicious input tricks an AI into performing unintended actions – like revealing credentials or accessing unauthorized data. Sprigr Team defends with platform-level directives that refuse credential extraction regardless of encoding (base64, hex, reversed strings), runtime sandboxing that limits blast radius, and infrastructure isolation that makes cross-tenant access physically impossible.
How do you prevent AI agents from leaking sensitive data?
Multiple layers: credentials are encrypted at rest and decrypted only at runtime in isolated sandboxes. Platform-level directives refuse to extract or encode secrets. Output scanning catches credential patterns before they reach logs or APIs. Physical isolation means data cannot leak to other companies even if all other defenses fail.
Is there an audit trail for AI agent actions?
Yes. Every agent action, tool invocation, code execution, message, and quality gate decision is logged with timestamps, agent identifiers, and execution metadata. Audit data is available through your dashboard and exportable for compliance review.
How is Sprigr Team security different from competitors?
Most platforms protect data with software-level access controls in shared databases. Sprigr Team uses physical infrastructure isolation – your data lives in dedicated storage that other companies’ agents cannot reach. This is a fundamentally different security model: policy-based vs architecture-based. We also include the same security architecture for every account, not gated behind enterprise pricing tiers.
Ready for AI agent security that actually works?
Architecture-level security guarantees for every account.
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