Security for a system that can think, act, and touch real workflows.
WorkSwarm security is not only network hardening and encryption. It includes grounded-answer behavior, tool-execution boundaries, agent approvals, and tenant-scoped controls for an AI-native work platform.
AI runtime controls
What changes when the system can act
Grounded answers or refusal
Knowledge answers are expected to answer, hedge, or refuse based on evidence strength instead of confidently filling gaps with generic model output.
Schema-validated tool use
LLM output does not directly execute actions. Tool calls are structured, validated, and routed through explicit execution boundaries.
Approval-gated blast radius
Bulk sends, payments, deletes, broadcasts, and similar high-stakes actions require a human gate before the action is allowed to run.
Tenant-scoped execution
Agents, MCP tools, retrieval, and memory operate inside tenant boundaries so cross-tenant data movement is prevented by design.
Data sovereignty architecture
Your most sensitive data never crosses our perimeter.
The three architectures CISOs ask about most. Each shows exactly what stays inside your network and what crosses the encrypted tunnel. The full set of five lives on the data sovereignty page.
Never leaves your side
- Patient names, MRNs, addresses, phone numbers
- Full clinical notes, lab results, imaging
- Insurance member IDs and claim details
- Doctor identifiers and prescription specifics
Crosses, encrypted
- Cohort sizes ("28 patients need follow up this week")
- Anonymous care pathway events
- Workswarm's draft messages and reminders
- Signed audit receipts
What Workswarm does
- Picks the right care pathway template
- Generates reminders and claim drafts in the hospital's voice
- Sends action back for staff to approve
- Never stores PHI. Stores workflow audit only.
Never leaves your side
- Account numbers, full transaction history, card PAN
- Aadhaar, PAN, CKYC documents
- Internal credit scores and limits
- Any data subject to RBI localization
Crosses, encrypted
- Anonymous case IDs (mapped to real customers only inside the bank)
- Risk scores and aggregated signals
- Workswarm's draft replies and recovery scripts
- Cryptographically signed audit receipts
What Workswarm does
- Drafts customer communications in bank's tone
- Coordinates collections and complaint workflows
- Templates for RBI Banking Ombudsman replies
- Never sees PAN or card number. Only token IDs.
Never leaves your side
- Full text of signed contracts and matter files
- Client identities and counterparty names
- Deal terms, valuations, IP filings
- Internal partner notes and strategy memos
Crosses, encrypted
- Clause types and document classifications
- Redline suggestions in the firm's house style
- Renewal alerts (matter ID and a relative date)
- Workspace audit metadata
What Workswarm does
- Routes the request through the firm's matter workflow
- Calls per firm SLM trained on firm's precedents
- Returns redline drafts the lawyer can accept or modify
- Never stores contracts. Stores matter level metadata only.
Why AI-native security is different
A secure chatbot is not the same thing as a secure work system.
WorkSwarm needs to defend not only against unauthorized access, but also against confident wrong answers, malformed tool calls, and autonomous actions happening without the right human checkpoint. This section exists to make that difference explicit for buyers.
Evidence before answer
Knowledge answers are grounded against retrieved passages before they are shown to a user.
Hedge or refuse behavior
Low-confidence or contradictory evidence should narrow the answer or stop generation entirely.
Tool executor boundary
Structured tool calls pass through explicit execution checks instead of allowing free-form model output to run actions.
Human gate for blast radius
Payments, bulk sends, deletes, and similar actions require approval before execution.
AI-specific threat model
WorkSwarm is AI-native. These are the threats we defend against at the platform layer.
Prompt injection (direct & indirect)
Distinct system/developer/user/tool roles. Untrusted content excluded from instruction interpretation. Parameters validated against schema.
Jailbreak & prompt extraction
No customer secrets in system prompts. Pattern-matching detection. Rate-limiting. Logged.
Model inversion / membership inference
No training on customer data. Provider robustness evaluations. Output cardinality limits.
Hallucination on factual claims
"AI-generated, verify before acting" disclaimer. High-stakes outputs (legal, medical, financial) require human gate.
Voice cloning & deepfake
Consent-only voices (recorded, time-bounded). C2PA provenance on synthetic media. Do-not-call list checks.
Toxic or biased output
Bias evaluation per release. StereoSet, RealToxicityPrompts benchmarks. Reportable bias triggers model swap.
Cost weaponization
Per-call token cap, per-user daily budget, circuit breaker on cost spikes, anomaly alerts.
Authentication & access control
SSO
SAML 2.0 + OIDC. Okta, Azure AD, Google Workspace, OneLogin, Ping, JumpCloud.
MFA
TOTP, FIDO2/WebAuthn, push. Phone-based factors disabled by default. Hardware keys for admins.
SCIM 2.0
Automated user lifecycle: invited → active → suspended → deprovisioned.
Session mgmt
12-hour access tokens, 30-day refresh with rotate-on-use. Configurable idle timeout.
Authorization
RBAC for features (admin/builder/contributor/viewer/guest). ABAC for data-level (project, workstream, gate).
Privileged access
JIT elevation, 4-hour max, session-recorded. Quorum approval for break-glass.
Encryption everywhere
AES-256-GCM via cloud KMS. Per-tenant DEKs wrapped by per-tenant KEKs. BYOK at Enterprise, HYOK at Enterprise Plus.
TLS 1.3 minimum on all ingress. mTLS for internal service-to-service. Certificate pinning on mobile.
Confidential computing (AWS Nitro Enclaves, Azure CVM, GCP CVM) for highest-tier inference and PII processing.
Encrypted with separate keys, separate region. S3 Object Lock with compliance retention.
Go next
Security is easiest to understand when it is connected to trust, workflows, and agent behavior.
The strongest security reading of WorkSwarm comes from following how the system answers, acts, checks approvals, and surfaces evidence rather than isolating security as a separate checklist page.
Trust Center
See the procurement-facing trust surface, reports, deployment models, and top-level control posture.
Compliance Engine
See how policy and residency controls are enforced during writes, transfers, and deletion workflows.
Agents
See how named specialists, tool bindings, and checkpoints shape the action model.
Knowledge Layer
See how grounded answers, confidence, and refusal behavior fit into the security posture.
Application & supply chain security
OWASP Web, API, Mobile, and LLM Top 10 all addressed.
- Threat model per feature - documented in repo
- SAST (Semgrep, CodeQL) on every commit
- Dependency scanning (Snyk, Dependabot) - 7-day critical-fix SLA
- SBOM generated per build, attested with Sigstore
- Container scanning (Trivy) on every image push
- DAST (OWASP ZAP, Burp Suite) on every staging deploy
- Pen testing: external annual, internal quarterly
- Two-reviewer approval for all production changes
- Security team sign-off for auth, crypto, key handling, audit changes