Security & Safety for the AI Age.
Risk Assessment
Our agents perform an automated attack simulation against your AI applications and agents using a comprehensive suite of security and safety checks to identify critical AI risks. Elevate your security with a one-time assessment or implement continuous testing.
Runtime Guardrails
Defend AI extends protection beyond prompt-level threats to shield AI applications and agents from a wide range of security and safety risks targeting different layers of your AI systems. Seamless integration provides automated threat blocking for risks detected by Ascend AI.
Watch our protection in action.
Risk Assessment
Ascend AI thoroughly assesses your AI or agentic application with a few clicks. Our AI agents begin with comprehensive prompt testing, but extends deep into the AI app and agent stack for the most comprehensive AI security and safety testing available.
use cases
- Comprehensive assessment of your AI applications and agents; not just the models
- Pre-deployment testing for security & safety weaknesses
- Continuous AI security monitoring
Governance and standardization of AI security - Compliance readiness testing
Features
- Comprehensive assessment of your AI applications and agents; not just the models
- Pre-deployment testing for security & safety weaknesses
- Continuous AI security monitoring
- One-click automated security assessment of AI Apps
- Deep visibility into all layers of your AI apps and Agents
- Comprehensive security scoring across Security, Safety and Trust categories: LLM Evasion, Harmful Content, Data Leakage, Agentic Manipulation, Language-Augmented Vulnerability in Applications (LAVA), Excessive Agency, Complex Multi-turn Attacks
- Detailed remediation recommendations
- Automated guardrails deployment in Defend AI
Benefits
- Comprehensive, red-team-level assessment of AI and Agentic apps
- Accurate, find and fix the issues that matter, don’t miss important security and safety issues
- Continuous assessment of AI Risks
- Be production and audit-ready
- Sleep well
Runtime Guardrails
Defend AI protects production AI apps and agentic systems from the full range of cybersecurity attacks and safety issues. It blocks prompt injection to more advanced threats like agentic manipulation and autonomous chaos for the most complete protection available.
use cases
- Real-time protection against AI security threats and attacks
- Secure AI agents against tool & reasoning manipulation, autonomous chaos
- Detect and block PII Data Leaks, harmful content, hallucination, language-augmented web application attacks, malicious user
- Compliance monitoring and enforcement for AI applications
- Centralized security monitoring across multiple AI applications
Features
- Comprehensive out-of-the-box guardrails across security, safety, trust.
- Privacy-preserving custom guardrails for organization-specific security and safety policies
- Automated RAG hallucination detection and prevention
- Detect agentic misalignment and prevent autonomous chaos
- Chain of threat graph to detect advanced threats related to application & agentic actions.
- Real-time detection and blocking of LLM prompt injection attacks
Benefits
- Comprehensive protection without unnecessary distractions
- High accuracy to avoid alert overload and miss critical issues
- Stop adversaries in their tracks
- Sleep well
Advanced AI Engine
precise
Minimize false positives and false negatives
lightning fast
Lightning-fast real-time performance for happy users
private
Customization without compromising privacy.
autonomous
Run your AI security program on autopilot
AI-Native Architecture
Our AI-Native Architecture enables our medley of fine-tuned models to reason across the deep context of each AI and Agent interaction, guaranteeing the most accurate detection and protection available.
App
AI application agnostic architecture allows you to pick your model, RAG systems, and infrastructure. We have you covered, with any type of AI app you build
Data Collection
Support for multiple collection methods simplifies deployment without sacrificing the deep context required for accuracy, from API/SDK to our proprietary AI sensors and log consumers for complete application & agentic context.
AI Engine
Our advanced AI engine uses MoE and Reinforcement Learning with Human Feedback (RHLF) and reasons across signals from the complete AI application and Agent stack.
OUR ELITE STRAIKER AI RESEARCH (STAR) TEAM
Our dedicated Al security research team performs cutting-edge research on Al models and agentic applications, as well as tactics employed by adversaries.
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