Your team is ready for AI. Your rules haven't caught up.
Employees already see how AI helps them work faster. But security cannot approve what it cannot see, finance cannot manage what it cannot measure, and compliance cannot sign off without evidence.
AI projects get stuck
Every new LLM, agent, and vendor triggers another review.
Shadow AI grows
When the approved path is slow, people use personal accounts.
Risk and cost stay invisible
Data moves, behavior shifts, and the bill arrives after the fact.
The business is forced into a bad choice: slow AI down, or let it run without guardrails.
You do not have to choose between blocking AI and watching every employee.
Watch every device
Endpoint monitoring tries to find every possible AI interaction across every device and browser.
Govern the approved path
Give people an approved, private way to use AI, then govern the activity that matters between your organization and the AI it has chosen.
Govern authorized AI at the point of use, not every click across the company.
When the approved path is also the easiest path, employees have less reason to work around it.
One gateway between your team and every approved AI they use.
Connect your people, applications, and approved AI to Swept. Every request passes through the rules your organization has defined before it reaches an LLM, agent, or tool.
- Access policyIdentity synced
- Claims42 peopleClaims assistant
- Engineering18 people4 LLMs, 6 tools
- Underwriting9 peopleNeeds approval
- Contractors6 peopleNo access
Roles follow your identity provider01Give the right people access
Connect your identity system and decide which teams, roles, and applications may use each LLM, agent, or tool.
Examples
- Claims teams can use approved claims assistants.
- Developers can access selected LLMs and tools.
- Sensitive workflows can require additional approval.
- Access can change automatically when a person's role changes.
- BoundariesEnforced
- Client records in promptsData policyRedacted
- Approved LLMs and toolsPermissions6 of 9
- Actions needing a humanApprovals3 defined
- Monthly cap, claims teamSpend limit$2,400
Every change is versioned02Set the boundaries
Define what your AI is allowed to do, and what it is not.
Guardrails
- Which data may be shared
- Which LLMs and tools may be used
- Which actions require human approval
- How much each person or team may spend
- What behavior should trigger an alert
- Who may change policies and thresholds
- BehaviorLast 30 daysAdoption84%Spend to date$1,940Answer quality92.3Drift vs. baseline58.6
- Refusal rate rising, claims botRouted to claims ownerAlerted
Owners are alerted, not just logged03Watch how AI actually behaves
See real usage at the LLM and application level. Swept monitors adoption, spending, performance, policy violations, unusual behavior, and changes over time. When something drifts or goes off course, the right owner is alerted.
- Evidence logToday
- 14:02Spend cap raised to $2,400Security admin
- 11:47Access granted, 12 peopleIdentity sync
- 09:15Claims agent moved to new LLMPlatform lead
- 08:03Escalation approvedClaims owner
Exportable for review4 of 1,28404Keep the proof
Every governed interaction contributes to a reviewable record. Security teams can investigate events. Leaders can understand adoption and cost. Reviewers, boards, customers, and regulators can see evidence that your guardrails are real, not just written in a policy.
- Claims42 peopleClaims assistant
- Engineering18 people4 LLMs, 6 tools
- Underwriting9 peopleNeeds approval
- Contractors6 peopleNo access
A single request, end to end
- User request
- Identity checked
- Data policy applied
- LLM and tool access checked
- Budget checked
- Request sent
- Response monitored
- Evidence recorded
Keep AI safe, reliable, and accountable.
Safe by design
Give employees private access to approved AI without relying on personal accounts or unmanaged tools.
Set guardrails around identity, permissions, sensitive data, LLM access, and the actions an AI system is allowed to take.
Reliable in practice
AI should not simply pass a review once and disappear into production.
Test it on your own data. Define acceptable behavior. Monitor performance after launch. Catch drift, failures, and unusual activity before they become larger problems.
Accountable at scale
Know which teams are using AI, which LLMs they use, what it costs, and whether it is behaving as intended.
Turn that record into evidence for leadership reviews, customer questions, renewals, audits, and regulatory examinations.
Employees get access. Security gets guardrails. Leadership gets proof.
AI they can actually use
Give people one approved place to access the LLMs, agents, and tools they need, without personal accounts, confusing exceptions, or months of waiting.
Guardrails without surveillance
Set enforceable boundaries around access, sensitive data, behavior, and approvals. Receive alerts when something crosses those boundaries and maintain evidence for review.
AI you can measure and scale
See adoption and spending by person, team, LLM, and use case. Set budgets before costs run away and identify where AI is producing enough value to expand.
Set the rules once. Swept enforces them every time.
Identity and role-based access
Decide who can use each LLM, agent, application, and tool.
LLM and tool permissions
Approve the AI your organization trusts and restrict sensitive capabilities to the right people.
Data guardrails
Define what information may be sent, stored, retrieved, or used inside an AI workflow.
Behavior monitoring
Watch for policy violations, unexpected behavior, performance changes, drift, and runaway activity.
Spend limits
Meter usage by person, team, LLM, and application. Set clear budgets and hard caps before spending runs away.
Reviewable evidence
Keep a structured history of access, policies, usage, evaluations, incidents, approvals, and changes.
Turn AI from a stalled project into a working system.
- GapEvery AI tool requires a separate review.
- GapEmployees wait, or use personal accounts.
- GapAccess rules live in documents and spreadsheets.
- GapSensitive data policies are difficult to enforce.
- GapLLM behavior becomes invisible after launch.
- GapSpending is discovered after the bill arrives.
- GapAudit evidence has to be assembled by hand.
- FixedApproved AI sits behind one governed front door.
- FixedEmployees have a safe alternative to shadow AI.
- FixedAccess and policy rules are enforced centrally.
- FixedAI behavior is monitored continuously.
- FixedOwners are alerted when something changes.
- FixedSpending is visible and capped in real time.
- FixedEvidence is ready when reviewers ask for it.
How regulated teams put AI to work
“Swept AI transformed our AI from a compliance nightmare into our competitive advantage.”
Integrates with any private stack.
Bring the LLMs, identity systems, and applications you already use behind the same guardrails.
Frequently asked questions
Is Swept an endpoint-monitoring product?
No. Endpoint tools look for unauthorized activity across devices, browsers, and applications.
Swept governs the AI your organization has authorized. It governs who can use it, what data it can access, what it is allowed to do, how much it costs, and how it behaves.
Swept can complement endpoint security without turning every employee's browser activity into the primary governance system.
Does Swept block employees from using AI?
Swept is designed to help organizations provide AI access safely, rather than simply block it.
Your organization chooses which LLMs, agents, and tools are approved. Swept gives employees a governed way to use them while enforcing the boundaries you define.
Does Swept help reduce shadow AI?
Yes. Many employees turn to unsanctioned tools because they do not have an approved option that meets their needs.
Swept gives them a secure, practical alternative. Device-level discovery tools can still be used alongside Swept when broader detection is required.
Do employees have to use a single LLM?
No. Swept can place multiple approved LLMs, agents, and tools behind one common governance layer.
Different teams can receive access to different capabilities without requiring your organization to manage an entirely separate governance system for each one.
Can Swept work with our private AI environment?
Yes. Swept can be deployed with your private AI infrastructure so that governance remains close to the people, applications, and AI activity it governs.
How is Swept priced?
Swept uses transparent, usage-based pricing rather than charging a fixed fee for every device or endpoint.
That lets you connect spending to actual AI adoption and place budgets around the teams and use cases that are creating the demand.
What happens when an AI system goes off course?
Swept monitors governed AI activity against the policies and thresholds your organization has established.
When activity becomes unusual, crosses a boundary, or indicates that performance has changed, Swept records the event and routes an alert to the appropriate owner.
What proof does Swept provide?
Swept maintains reviewable evidence about access, policies, usage, spending, evaluations, performance changes, alerts, incidents, and approvals.
That evidence can support internal reviews, customer security questions, RFPs, renewals, board discussions, and audits.