/ AI Use Cases

SECURE THEAI ERA.

From employee GenAI usage to homegrown AI applications and the infrastructure behind them — practical use cases Danet designs, validates and implements.

AI Security Posture Management — AISPM

Discover AI services, models and resources across your cloud environment and connect their security posture with data, identity and exposure context. Danet implements Wiz AISPM to identify and prioritize risks across the enterprise AI stack.

What it provides

AI asset discovery and inventory / AI security posture assessment / Sensitive data exposure visibility / AI service misconfiguration detection / Identity and permissions risk context / Attack path analysis / Risk prioritization

DISCOVERASSESSCONTEXTUALIZEPRIORITIZEREMEDIATE

Wiz

Shadow AI Discovery

Discover which AI applications are being used throughout the organization — ChatGPT, Claude, Gemini, Copilot, Perplexity and other GenAI applications.

Sanctioned AI / Unsanctioned AI / Shadow AI / User activity / Application discovery

NetskopePrompt SecurityPalo Alto Networks

AI Usage Visibility

Understand how AI is really being adopted across the business.

Who is using AI / Which AI applications are used / How AI is being adopted / Which users or departments use AI / What information is exchanged

WizNetskope

Data Protection for AI

Understand and control what is uploaded to AI applications — sensitive corporate information, source code, credentials, PII, financial data, intellectual property and confidential documents.

DLP / Data classification / AI application visibility / Policy enforcement / User activity monitoring

NetskopePrompt SecurityPalo Alto Networks

AI Guardrails

Prompt inspection / Response inspection / Sensitive data protection / Prompt injection protection / Malicious prompt detection / Unsafe content policies / Policy enforcement

Palo Alto NetworksPrompt SecurityNetskope

AI Red Teaming

Prompt injection / Jailbreaking / Data leakage / Model manipulation / Unsafe responses / Toxic content / Agent abuse / AI-specific vulnerabilities

Palo Alto NetworksNetskope

AI Model Security

Model scanning / Malicious model detection / Model vulnerabilities / Model integrity / AI supply-chain risks / Model risk assessment

Palo Alto Networks

Homegrown AI Application Security

Protect enterprise-developed AI throughout its lifecycle.

RAG applications / Internal copilots / LLM applications / AI APIs / AI-powered applications / AI agents

BUILDTESTDEPLOYRUNMONITOR

Palo Alto NetworksNetskope

AI Gateway

A central control point between users, applications and AI models. Every request to an LLM — from employees, internal apps or AI agents — passes through one governed layer where it is authenticated, inspected and enforced before it reaches the model, and every response is checked on the way back.

What it provides

Centralized access to AI models / Identity-based access control / Prompt & response inspection / Sensitive data protection / Model & provider governance / Usage policies and rate control / Logging and audit trail / Visibility across all AI traffic

USER / APP / AGENTAI GATEWAYINSPECTENFORCELLM

NetskopePalo Alto Networks

AI-Driven Email Security

Stop malicious email before it reaches the organization. Instead of relying on signatures and known indicators, behavioral AI learns the normal communication patterns of every user, vendor and partner — and detects the anomalies that reveal phishing, business email compromise and account takeover, even when the message contains no malicious link or attachment.

What it detects

Phishing / Business Email Compromise (BEC) / Vendor email compromise / Account takeover / Invoice & payment fraud / Executive impersonation / Social engineering / AI-generated attacks

INBOUND EMAILBEHAVIORAL BASELINEAI ANALYSISANOMALY DETECTIONREMEDIATE

Abnormal Security

AI Runtime Security

Runtime visibility / AI application behavior / AI-specific attacks / Threat detection / Policy enforcement