GenAI Security
Secure AI-powered browsing and protect data from emerging agent-level threats
AI agents inside browsers introduce new risks: they read untrusted content, execute actions, and handle sensitive data. Mammoth Enterprise Browser provides secure, policy-controlled sessions to enable AI productivity without exposing corporate information.
AI-Driven Threats
Direct & Indirect Prompt Injection
Malicious instructions hidden in inputs or webpages can hijack LLM behavior, bypass guardrails, and trigger unauthorized actions. Legacy defenses can’t filter language-based attacks.
Cross-Site
Agent Attacks
Agents trust web content by default. Compromised pages can coerce them into exporting data, forwarding content, or accessing sensitive applications across domains.
Insider-Like
Automation Risks
If compromised, an AI agent inherits full user privileges. It can misuse credentials, move sensitive files, or perform malicious tasks without user awareness.
Why Traditional Tools Fall Short
Network and endpoint security monitor code execution — not AI reasoning.
Once data enters an agent’s context window, attackers can manipulate outcomes to evade existing controls.
How Mammoth Secures GenAI Workflows
Session Isolation
Browser sessions run in secured, controlled environments. Agents cannot escape to local files or system credentials.
Browser-Level DLP
Continuous enforcement prevents unauthorized downloads, uploads, clipboard use, and document exports — even if an agent attempts it.
Private LLM /
BYOM Support
Connect internal, trusted AI models so private data never touches public AI ecosystems.
Full Audit Trails
Track identity, device posture, and AI-driven actions for compliance and threat detection.
Least-Privilege Access
Policies restrict what users — and agents acting for them — can do inside sensitive applications.
Use Cases
- Secured every SaaS app with Zero Trust enforcement
- Blocked ChatGPT uploads from Jira and Slack
- Applied role-based restrictions without agents or VPNs
- Reduced SaaS-related insider risk events by 80%
The Mammoth Advantage
Without Mammoth
- Hidden prompt injection leads to data leaks
- Public AI models increase exposure risk
- Agents bypass traditional controls
- Low visibility into AI actions
With Mammoth
- Inline DLP and isolation stop exfiltration
- Private / BYOM models keep data in control
- Policies enforce security inside the browser
- Complete event logging and compliance trails
