




Monitor and secure AI usage with policy controls, anomaly detection, and risk-aware governance for enterprise teams.
VISIT AI SECURITY→Generative AI is accelerating innovation and transforming how organizations interact with data, applications, and decision-making. But alongside these opportunities comes a new landscape of security, privacy, governance, and compliance challenges that traditional cybersecurity frameworks were never designed to address.

Unprotected internal models become prime targets for prompt injection, data exfiltration, and adversarial manipulation.
Third-party AI APIs woven into enterprise apps create hidden, unaudited entry points for attackers.
IDE plugins and AI coding assistants silently transmit proprietary code to external model endpoints without oversight.
Unauthorized AI tools adopted by employees bypass security controls, compliance frameworks, and data governance.

The rapid adoption of Generative AI is creating an entirely new enterprise attack surface — dynamic, autonomous, and increasingly difficult to control using traditional security approaches.
Every AI model, prompt, plugin, API, agent, and third-party integration introduces new pathways for cyber threats, data leakage, and compliance exposure. From shadow AI and prompt injection to malicious agents, model abuse, and data poisoning, threat actors are rapidly exploiting gaps in AI governance.
Organizations need continuous visibility, AI risk monitoring, policy enforcement, and real-time security controls to manage the rapidly expanding GenAI attack surface before it becomes the next major enterprise security crisis.
Autonomous AI agents are increasingly capable of making decisions, executing tasks, and accessing sensitive enterprise data with limited human intervention. According to Gartner, more than 30% of enterprise workloads are expected to involve autonomous AI agents by 2026 — making robust governance and security controls urgently necessary.
Inspect agent actions and outputs as they happen.
Govern agent-to-agent communication, not just user prompts.
Compliance-ready logs for incident response and forensic review.
Behavioral baselines flag agents acting outside policy.
A unified AI security architecture designed to help organizations securely adopt, govern, and scale Generative AI across the enterprise — delivering continuous visibility, governance, risk management, and real-time protection against emerging GenAI threats.
Real-time inspection and enforcement between users, apps, and AI models. Blocks prompt injection, data leakage, and policy-violating queries before they reach your LLMs.
Unified command center for your entire GenAI security posture — threat detection, behavioral analytics, compliance reporting, and policy management across all AI assets.
Deploy private LLMs with data isolation, access controls, and continuous monitoring so sensitive corporate data never leaves your perimeter — every interaction auditable.
AI-powered intelligence for IT service management — automate incident triage, root cause analysis, and remediation with full security oversight of the AI systems involved.

Analysts using unauthorized ChatGPT to summarize confidential client portfolios — GDPR & SEC exposure.
AI Firewall blocked 2,400+ policy-violating prompts in 30 days. Shadow AI usage reduced by 94%.
Clinical documentation tools transmitting patient notes to third-party LLM APIs — HIPAA violation, PHI exposure.
Private AI deployment eliminated PHI exposure incidents entirely.
Developers using Copilot & Cursor without governance — proprietary algorithms and API keys leaking to model providers.
Real-time IDE monitoring cut IP exfiltration to zero across 8,000+ engineers.
DefenGPT solutions are architected in alignment with the most rigorous global AI security, governance, and compliance standards — giving enterprise customers confidence that their AI deployments meet regulatory requirements across jurisdictions.
AI Trust, Risk & Security Management. DefenGPT maps directly to Gartner's TRiSM pillars: explainability, ModelOps, AI application security, and privacy.
International AI Management System standard. DefenGPT supports certified AI governance processes, risk assessments, and continuous improvement cycles.
NIST AI RMF provides a structured approach to managing AI risks. DefenGPT aligns with its Govern, Map, Measure, and Manage functions for trustworthy AI deployment.
OWASP's Top 10 for LLM Applications. DefenGPT addresses the full OWASP AI threat taxonomy including prompt injection, insecure output handling, data poisoning, and model denial of service.
U.S. Executive Orders and CISA AI security guidelines. DefenGPT supports federal and enterprise compliance with U.S. AI security mandates.
National Cyber Security Centre guidelines for secure AI deployment. DefenGPT aligns with NCSC's principles for secure design, supply chain integrity, and incident response.
The world's first comprehensive AI regulation. DefenGPT enables compliance with risk classification, transparency obligations, and prohibited use enforcement.
Regional AI governance standards across GCC nations. DefenGPT supports organizations in Saudi Arabia, UAE, and broader MENA markets.
Continental AI governance and policy standards. DefenGPT supports organizations operating across African markets in meeting evolving national and regional AI compliance requirements.
MEITY and RBI AI governance guidelines. DefenGPT supports audit trails, explainability, and model risk management aligned with India's emerging AI regulatory landscape.
IMDA's Model AI Governance Framework and MAS guidelines. DefenGPT enables Singapore's rigorous AI accountability, transparency, and risk management standards.
Australian Government AI Ethics Framework and ASD cyber security guidelines. DefenGPT aligns with Australia's principles for reliable, safe, and secure AI deployment.
"DefenGPT gave us the visibility we desperately needed. We discovered 17 unauthorized AI tools in use across the organization within the first week."
CISO, Tier-1 Investment Bank
"The AI Firewall is the missing layer every enterprise deploying LLMs needs but doesn't know they need yet — the difference between reactive and proactive."
VP, Information Security, Global Logistics Group
"We evaluated six vendors. Defenix was the only one that addressed the full attack surface — private models, developer tools, and agentic workflows."
Security Architect, Healthcare Technology Provider
Average reduction in unauthorized AI tool usage within 30 days.
Prompt injections and policy violations intercepted per enterprise.
Complete session logging for every AI interaction across the enterprise.
Average deployment-to-detection time for new enterprise customers.
Join the security leaders who chose to get ahead of the threat — before it became a headline.
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