Test every attack path. Expose no real data.
Security platforms connect to dozens of identity, cloud and SaaS systems, and must detect sensitive data they are never allowed to copy. neoSim gives your team simulated systems, synthetic sensitive data and safe environments for AI agents, so you can build, test and prove every detection and response.
Security products are the hardest software to test honestly.
You protect systems you don't own, detect data you can't copy and respond to attacks you can't schedule. Most teams end up testing the happy path and hoping the rest holds.
The sensitive data your product must detect is exactly the data you are not allowed to copy into dev, QA or demos.
Test tenants are rate limited, reset without warning and cannot produce impossible travel, MFA fatigue or mass exfiltration on demand.
Every customer expects coverage for their identity, cloud, SaaS and ITSM stack, and each one needs its own test account and licence.
Precision, recall and response times have to be shown, not claimed, in every POC, RFP and audit.
SOC and remediation agents call live APIs with admin privileges, and one wrong tool call can lock out a real user.
Three solutions. One proving ground for security.
Use each on its own, or bring all three together into one virtual environment built around your real use cases, your product and the platforms you test against.
Simulate the systems you protect.
Recreate the identity, cloud, SaaS and ITSM platforms your product connects to, with no vendor sandbox.
- Realistic security events: sign-ins, MFA, admin changes and shares
- Attack patterns and failures on demand, scripted in plain language
- Isolated environments for every branch, team and customer stack
Prove your detection is accurate.
Generate production-like synthetic sensitive data and benchmark your engine against ground truth.
- 23+ categories and 200+ subcategories of PII, PHI and PCI
- DOCX, PDF, scanned images, CSV, XLSX and JSON
- Independent precision, recall and compliance reports
Test security agents before they act.
Run AI SOC and remediation agents against simulated systems and synthetic data, then promote them safely.
- Simulated, hybrid and live run modes
- Guardrails and human approval for destructive actions
- Action-level assertions, traces and agent scorecards
Built for every corner of the security stack.
Pick your segment to see how Simulate, Data and Agents fit your product, with example scenarios and the simulators behind them.
Data Security
Your engine has to find sensitive data it has never seen, across data stores it does not own.
- DataGenerate labelled PII, PHI and PCI documents across 23+ categories, including scanned files for OCR, and benchmark precision and recall against ground truth.
- SimulateStand up simulated S3, Azure Blob, Google Cloud and Snowflake stores, seed them with synthetic files and test discovery, classification and remediation at scale.
- AgentsTest remediation agents that relabel, quarantine or revoke sharing, with no real customer data in the loop.
Example scenarios
- Public bucket holding 5,000 synthetic HR records
- Scanned passport hidden inside a nested Zip
- Rate-limited listing across 2M objects
Relevant simulators
Don't see your system? Request a simulator →
Identity Security
Identity attacks are rare in test tenants and impossible to schedule on demand.
- SimulateEmit realistic sign-in, MFA and admin events from simulated Okta, Entra ID, Auth0, PingID and ForgeRock, including impossible travel, MFA fatigue and privilege escalation.
- SimulateRun joiner, mover and leaver flows from Workday into your identity provider and verify access is granted and removed on time.
- DataGenerate synthetic user directories, HR records and entitlements with realistic names, roles, managers and locations.
Example scenarios
- Impossible travel between New York and San Francisco
- 20 MFA push requests in 3 minutes
- Leaver still active 24 hours after exit
Relevant simulators
Don't see your system? Request a simulator →
Cloud Security
Posture tools need misconfigured, data-rich cloud environments that nobody wants to build or pay for.
- SimulateSimulate AWS, Azure and Google Cloud storage and warehouse APIs with public buckets, external shares and drifted policies on demand.
- DataFill simulated buckets and tables with synthetic sensitive files so every exposure finding carries real risk context.
- SimulateForce throttling, pagination edge cases and partial API failures to prove your scanners recover cleanly.
Example scenarios
- Bucket flipped to public mid-scan
- Snowflake share to an unknown account
- Throttled object listing at 10k keys
Relevant simulators
Don't see your system? Request a simulator →
Network Security
Inline controls must inspect traffic to real SaaS apps, which is hard to reproduce safely in a lab.
- DataPush synthetic sensitive files through uploads, chats and shares to validate inline DLP and file inspection verdicts.
- SimulateSimulate the SaaS destinations your policies govern, such as Slack, Teams, Dropbox and Salesforce, with realistic auth and responses.
- SimulateTest identity-aware access decisions with simulated Okta and Entra ID users, groups and risk signals.
Example scenarios
- PCI file posted to a public Slack channel
- Unmanaged device reaching Salesforce
- Large upload to a personal Dropbox
Relevant simulators
Don't see your system? Request a simulator →
Endpoint & Workload
Detection is only half the job. Response depends on integrations you cannot afford to break in test.
- DataPlace realistic synthetic documents on test hosts and file shares to validate file activity, exfiltration and ransomware canary detection.
- SimulateTest response actions end to end: suspend the user in Okta, open a ServiceNow incident and alert the SOC in Teams or Slack.
- AgentsValidate automated containment agents with guardrails before they isolate a real host.
Example scenarios
- Mass file rename on a NetApp share
- Suspend user and open a P1 incident
- ServiceNow down during containment
Relevant simulators
Don't see your system? Request a simulator →
Compliance & Risk
Control testing pulls evidence from dozens of systems, each with its own API, permissions and edge cases.
- SimulateSimulate the evidence sources your platform reads, from Okta and AWS to Workday, ServiceNow and Salesforce, with passing and failing states on demand.
- DataUse synthetic HR, financial and customer records to test evidence collection without handling regulated data.
- DataAttach an independent accuracy report to audits and RFPs as proof, not assurance.
Example scenarios
- MFA disabled for three admins
- Terminated employee still in Salesforce
- Evidence API returns 500 at audit time
Relevant simulators
Don't see your system? Request a simulator →
Security Ops & AI
Playbooks and AI agents act across your whole stack. One wrong action reaches production fast.
- SimulateRun SOAR playbooks against simulated ServiceNow, Okta, Slack and Teams, with timeouts, 429s and outages injected mid-run.
- AgentsMove AI SOC agents from simulated to hybrid and live modes with action-level assertions and approval gates.
- DataFeed triage agents realistic alerts that reference synthetic sensitive records, so decisions are tested on believable context.
Example scenarios
- Phishing triage across five tools
- Okta 429 during account lockout
- Agent attempts to delete a user
Relevant simulators
Don't see your system? Request a simulator →
Impossible travel detection, tested end to end.
Prove your ITDR catches the attack, contains the user and opens the incident, without waiting for a real attacker or touching a real tenant.
- 1
Seed realistic identities Data
neoSim Data generates 2,000 synthetic employees with roles, managers and home locations, loaded into simulated Workday and Okta tenants.
- 2
Script the attack Simulate
The scenario engine emits a normal sign-in for j.doe from New York, then a second session from San Francisco 39 minutes later on a new device.
- 3
Your product detects Your product
Your ITDR reads the Okta System Log API, calculates travel velocity and raises an impossible travel alert.
- 4
Verify the response Simulate
The Okta simulator records the session revoke and user suspension, ServiceNow opens an incident and Teams notifies the SOC.
- 5
Replay the edge cases Simulate
Rerun with VPN egress, approved travel, clock skew and an Okta 429, to prove there are no false positives and no missed alerts.
Assertions
- ✓Impossible travel alert raised within 5 seconds
- ✓Sessions revoked and j.doe suspended in Okta
- ✓ServiceNow incident opened with the right user and geo
- ✓No alert for approved travel or VPN egress variants
Many agents. Many tools. One safe place to test them.
Modern security platforms orchestrate several AI agents that triage, contain and communicate across your stack. Here, a multi-agent team responds to a data exposure alert, fully simulated first.
Ship security products faster, with proof.
What security vendors and in-house security engineering teams gain when every detection, response and agent is tested before release.
Ship integrations faster
Build against simulated Okta, AWS and ServiceNow on day one instead of waiting weeks for vendor test tenants.
Win POCs with proof
Show buyers an independent accuracy report and reproducible attack scenarios, not self-reported numbers.
Zero customer data risk
Test with synthetic identities and sensitive files, so no regulated data ever enters dev, QA or demos.
Roll out AI safely
Promote SOC and remediation agents through three run modes with guardrails, approvals and full traces.
Catch failures before customers do
Replay timeouts, rate limits and outages on every release, so response workflows never break in production.
Lower cost to test
Cut sandbox licences, lab infrastructure and hours of manual test data creation.
See your security product tested end to end.
A 30-minute walkthrough of a simulated attack, synthetic data and an agent run, built around your stack.