// COMMAND
Security Enforcement
Source: Internal Research AI
Surface: External Client Email
Recipient: Institutional Client
Status: Enforced before send
AI-Generated Response
“Attached is our latest research on Apex Corp. Note that the firm holds a confidential position size of 4.2M shares acquired last quarter at an average price of $87.40.“
}
Anchor Scan
Verdict:
BLOCK
Rule Cited:
Restricted Data Policy
Policy Match:
MNPI Exposure
Risk:
Critical
Final Action
Blocked. Escalated to security review.
Why It Matters
AI is the fastest new data exfiltration surface in the enterprise.
Agents, copilots, and chatbots have access to restricted data, customer information, and internal systems, and they generate outbound communication every minute. Security teams need real-time controls on what AI is allowed to say.
Compliance
//A
AI Security Risk
→
AI-generated messages scattered across teams, vendors, and surfaces
→
Inconsistent communication controls per AI system
→
No visibility into what AI is saying to customers or the public
→
Compliance reviewing AI outputs case by case
→
Slow rollout under communication risk
→
No proof of AI communication behavior at scale
Compliance
//B
What Security Teams Needs
→
One view of every AI-generated message across the firm
→
One policy layer governing every output across every AI
→
Real-time monitoring of every AI message
→
Pre-built rulepacks enforcing every communication regime automatically
→
Fast, governed AI communication rollout
→
Evidence and logs for every AI message sent by the firm
What You Get
Real-time security controls for AI communication.
ZeroDrift gives security teams the enforcement layer they need to deploy AI without expanding the attack surface.
//A
Restricted Data Controls
Detect and block MNPI, PHI, PII, credentials, and confidential data in AI outputs.
//B
High-Risk Output Blocking
Prevent unsafe AI outputs from reaching customers, employees, or external systems.
//C
Prompt Injection Defense
Defend AI systems against adversarial prompts and jailbreak attempts.
//D
Enterprise Deployment
VPC deployment, SSO, and enterprise security controls for regulated environments.
//E
Access and Identity
Role-based controls and identity-aware enforcement across AI systems.
//F
Audit and Evidence
Every decision logged with rule, recipient, and content context.
Use Cases
Security controls for every AI communication surface.
//A
MNPI and Confidential Data
Prevent material non-public information from leaving in AI outputs.
//B
PHI and Healthcare Data
Block protected health information from reaching unauthorized recipients.
//C
PII and Customer Data
Detect and block customer data exposure across AI communication.
//D
Credential Exposure
Block secrets, API keys, and credentials from appearing in AI outputs.
//E
Agent-to-Agent Security
Enforce controls on AI systems communicating with other AI systems.
//F
AI Incident Response
Investigate AI security events with full audit trails and evidence.