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