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Data Security that understands your business
No rules. No noise. Just visibility and action—in real time.
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From risk to resolution our AI agents understand your business context
Works with any LLM and supports both SaaS & on-premise deployment
Deploy our API-based solution. No agents, no manual setup —first results in 24h
We generate your unique data classes—no regex or manual rules
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Automatically classify data by functionality and context (HR, Legal, Finance…) — not just keywords
Forget regex and manual rules—our agent learns and adapts on its own
Our AI agent continuously identify and creates new data labels tailored to your business
Track user access, manage permissions and monitor at-risk users in real time
Continuously get visibility on suspicious activity such as data movement and duplicates
Utilize advanced search to track file sharing, downloads, and mass deletions
Automate remediation like blocking messages, revoking permissions, ensure document labeling and more
Create custom policies with a low-code approach, using contextual detectors
Empower employees to self-remediate securely
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Prevent data from leaking into ChatGPT, Gemini & co.
• Detect PII, contracts, financial info in AI tool inputs
• Flag or block risky prompts in real time
✅ Example: Employee pastes IBAN into ChatGPT
→ Breezy blocks the input and alerts security
Simplify audits and prove compliance in clicks
• Generate compliance reports (GDPR, NIS2, AI Act)
• Highlight violations before they become incidents
✅ Example: PII sent from EU to US server
→ Breezy flags and alerts compliance team
Stop data exfiltration when employees leave
• Detect suspicious downloads, shares, or email forwards
• Monitor access to personal drives or unauthorized tools
✅ Example: Departing sales downloads 200 files
→ Breezy instantly revoked the access
Get visibility on AI tool usage across your org
• Map Copilot, Gemini, etc., across your SaaS stack
• Flag use with sensitive or non-compliant data
✅ Example: Copilot used with salary files
→ Breezy flags and restricts access
Of organizations’ data is dark
Of data security projects fail due to poor data classification
Of breaches involved data In the cloud and SaaS
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