Why settle for uncertainty?
Generative AI and Large Language Models (LLMs) are transforming industries – from customer service to content generation – yet 49% of enterprises cite security and compliance as their biggest obstacle to moving AI from development to production. Left unprotected, these systems can leak sensitive information, be manipulated through malicious prompts, and disrupt operations – risks no organisation can afford.
Source: Navigating Build-versus buy Dynamics for Enterprise-ready AI By Mike Leone, Practice Director and Principal Analyst, and Emily Marsh, Associate Research Director Enterprise Strategy Group Enterprise Strategy Group JANUARY 2,025
Innovate confidently with proactive AI security
AI Application Security combines 2 powerful capabilities
PRE-DEPLOYMENT
AI Scanner
Simulates real-world attacks to uncover vulnerabilities like data leakage and prompt injection before your AI applications go live.
- Proactively identifies and ranks vulnerabilities in LLMs and AI apps
- Supports compliance with documented risks
RUNTIME PROTECTION
AI Guard
Monitors and filters inputs/outputs in real time to block malicious prompts, prevent sensitive data leaks without slowing performance.
- Real-time threat detection and mitigation
- Policy enforcement
- Governance via audit trails
Secure AI applications before threats strike
AI Application Security is your shield against the unknown.
Purpose-built for organisations deploying applications powered by Large Language Models (LLMs) and advanced AI at scale, it transforms AI security from a challenge into a business enabler. The solution integrates an AI Scanner for proactive vulnerability detection and an AI Guard for real-time threat defence in a continuous Security Loop – scan, protect, validate, and improve. This approach prevents data leakage, supports compliance, and maintains operational continuity without hindering innovation.
Take advantage of:
- Proactive vulnerability scanning
Identify risks like data leakage, prompt injection, and authentication bypass before attackers can exploit them. - Real-time guardrails
Block malicious prompts, prevent sensitive data exposure, and filter harmful outputs without slowing response times. - Operational confidence
Eliminate security as a barrier, enabling broader and faster deployment of AI projects.
Unlike reactive approaches, we build a trust-first AI ecosystem where innovation accelerates without sacrificing security.
The core security loop
Scan
Identify vulnerabilities and hidden risks before deployment to ensure AI integrity and readiness
Validate
Continuously monitor, test, and verify effectiveness to sustain compliance and trust
Why Trend Vision One™ for AI security?
Thanks to its foundation on Trend Vision One, the only cybersecurity platform that centralises cyber risk exposure management, security operations, and robust layered protection, AI Application Security delivers:
- Comprehensive three-layer security: Pre-deployment scanning, runtime protection, and continuous validation covering 9 of OWASP’s Top 10 LLM risks
- Advanced threat intelligence: Backed by AI-Powered Attack Prevention for up-to-date LLM-specific threat feeds
Fortify AI innovation with our proactive protection
- Support compliance with AI laws and align with leading security standards and frameworks
- Achieve full visibility into pre-deployment vulnerabilities
- Block prompt attacks, harmful content, and sensitive data exposure while having visibility into the blocked activity over time
- Integrate security seamlessly via API and SDK
- Cut costs by blocking malicious prompts before they incur inference charges
Who needs this?
Any organisation deploying AI applications or operating in highly regulated industries
Financial services
Healthcare
Manufacturing
Government
Outcomes you can expect
Stay ahead of evolving threats
Reduced running costs (inference or token costs)
Improved regulatory compliance and simplified governance
Enhanced security posture and reduced vulnerabilities