# Security teams need control, not guesswork, when AI enters production

Swept AI gives security teams real-time supervision across AI assistants, agentic workflows, and customer-facing features. Enforce policies, prevent unsafe behaviors, and gain full auditability without slowing down development.

Trusted by security teams in finance, healthcare, enterprise SaaS, and regulated industries adopting AI at scale.

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## AI introduces new classes of risk that traditional controls cannot detect

- **Unpredictable behavior that escapes static controls.** Models can drift, interpret inputs incorrectly, or produce unsafe reasoning that gets past static filters.
- **New attack surfaces and adversarial inputs.** Users can pressure test, jailbreak, or nudge models into unsafe patterns that security controls were not designed to detect.
- **Opaque logic and missing audit trails.** AI decisions are difficult to explain, recreate, or trace unless the system captures versioning, reasoning, and context.

Swept AI gives security teams continuous visibility and automated enforcement across every AI action.

## Runtime supervision and policy enforcement for secure AI

- **Policy-driven enforcement.** Block unsafe actions, prevent prohibited topics, enforce data handling rules, and require approvals for high-risk behavior.
- **Adversarial resistance monitoring.** Detect when users push AI toward unsafe states through repeated prompts or subtle jailbreak attempts.
- **Complete traceability.** Replay bundles provide inputs, plans, tool calls, versions, and context so security teams can reproduce incidents instantly.
- **Continuous monitoring.** Measure drift, detect outliers, and identify emerging risks across cohorts and traffic patterns.

## How Swept AI Works

1. **Monitor.** Create expected behavioral ranges for correctness, refusal patterns, PII hygiene, and high-risk actions.
2. **Evaluate.** Swept AI watches every AI interaction in real time, looking for drift, unusual reasoning patterns, or adversarial signals.
3. **Control.** Block high-risk actions, restrict unsafe reasoning, quarantine sessions, or route flagged cases to security review.

## How security teams use Swept AI

- **Detect and block sensitive data leakage.** Prevent models from revealing credentials, internal information, personal data, or proprietary content.
- **Prevent unsafe or non-compliant behavior.** Stop answers that violate policy, legal constraints, or prohibited content rules.
- **Catch drift or emerging vulnerabilities.** Identify trends or behavior shifts that signal an increase in risk before an incident occurs.
- **Monitor for adversarial attacks.** Track repeated pressure, intent probing, manipulation attempts, and jailbreak patterns.
- **Support red team evaluations.** Provide replayable evidence and environment-specific baselines for secure testing.
- **Secure agentic workflows.** Enforce guardrails on tool use, actions, and multi-step plans that could impact systems or data.

## Aligned to enterprise security and compliance requirements

- Redaction and masking before model invocation
- Zero data retention when required
- VPC or on-prem deployment
- SOC 2 alignment
- Full audit trails for compliance, internal audit, and forensics
- Multi-model compatibility
- No training or fine-tuning on your data

## Security-grade oversight and enforcement

**Detection and monitoring**

- Outlier detection and drift monitoring
- PII and sensitive data checks
- Adversarial attempt detection
- Pattern analysis across cohorts
- Version tracking for prompts and models

**Enforcement and governance**

- Policy-driven controls
- Hard stops for high-risk actions
- Quarantine and approval flows
- Full audit logs and replay bundles
- Zero data retention options

## Move from AI promise to proof

Run a free evaluation, supervise in production, and share proof with reviewers.

[Contact us](/contact)