Agent workflow discovery
Map sessions, delegation chains, tool calls, and runtime behavior as one governed path.
Unlock AI Innovation with AI Security & Control
Secure AI. Empower Innovation. Stay in Control.
Enable employees and AI agents to innovate safely across enterprise applications--while protecting data, controlling actions, reducing risk, and maintaining audit-ready governance.
An AI Security platform built as the control layer for agentic work.
AI apps and agents now act through tools, APIs, models, identities, approval paths, and business systems. Aegis Flow gives security teams one governed plane to discover, decide, enforce, and prove what happened.
Shadow AI usage
Find unmanaged AI apps, unsanctioned agents, unknown models, and risky data movement.
Agent identity
Bind agent, owner, provider, trust tier, workload identity, and downstream scope.
MCP and tool access
Govern what agents can invoke and which enterprise systems they can reach.
Policy enforcement
Allow, transform, approve, deny, contain, or route actions for review.
DLP and sensitive data
Protect PII, PHI, PCI, source code, IP, confidential data, and prompt leakage.
Human approval gates
Require business or security review before risky autonomous actions proceed.
Runtime audit evidence
Record who asked, which agent acted, what policy applied, and what outcome occurred.
Use cases
Enterprise AI control across regulated workflows.
Banking & Financial Services
Real-Time Fraud & Prompt Injection Guardrails for Customer Support Agents
Intercepts and sanitizes untrusted inputs fed to customer-facing or internal AI agents to prevent indirect prompt injection, financial transaction tampering, unauthorized data retrieval, or wire-transfer execution.
Healthcare & Hospitals
HIPAA Compliance & PHI Anonymization
Scans agentic data flows and LLM prompts in clinical decision support and patient-intake workflows to automatically redact PHI/PII before data reaches external models or unauthorized databases.
Biomedical & Pharmaceuticals
IP Loss Prevention in Drug Discovery Pipelines
Enforces strict boundary controls and DLP rules on AI agents searching, summarizing, or analyzing proprietary genomic data, chemical structure files, and ongoing clinical trial documentation.
E-Commerce & Retail
Automated Order Processing & Tool Execution Authorization
Applies least-privilege policies and human-in-the-loop approval steps to autonomous shopping and inventory agents to prevent unauthorized bulk purchases, pricing rule overrides, or compromised API integrations.
Government & Defense
Multi-Tenant RBAC & Audit Logging for Classifier Workflows
Provides complete auditability, system logs, and air-gapped access control for AI agents processing classified or sensitive public sector intelligence data.
Insurance
Automated Claims Processing & Identity Verification
Monitors autonomous agents evaluating insurance claims to ensure agents do not execute unauthorized payouts or leak policyholder records through poisoned uploaded claim documents.
How it works
Legacy controls see traffic. Aegis Flow sees the agentic workflow.
CASB, DLP, IAM, SIEM, and endpoint tools each see part of the picture. Aegis Flow connects the runtime context: identity, prompt, model, data category, tool, policy, approval, connector action, and evidence.
Observe
User, agent, model, and tool context
Decide
Policy, DLP, risk, and approval logic
Enforce
Allow, redact, approve, deny, or contain
Evidence
Trace, audit, ticket, and executive proof
The executive reality
If you cannot discover rogue agents, you cannot govern them.
CASBs can block a URL. They are blind when an autonomous agent uses a valid API to retrieve customer data or corporate intellectual property.
The perimeter has changed
Agent-to-application traffic looks legitimate to controls built around users, websites, and files.
Compliance exposure is immediate
AI regulation and privacy obligations make unknown agents a governance problem, not merely an IT problem.
The back door stays open
Without agent visibility, existing controls leave leadership exposed to regulatory audits, fines, and data loss.
Agent Intent
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Policy
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Approval
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Execution
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Evidence
See your agent footprint in 30 minutes
We will walk through AI discovery, live guardrails, data controls, and audit evidence using scenarios from your own agentic workflow stack.