Security & Safety for the AGENTIC AI Age.
CONTINUOUS AI RED TEAMING
Ascend AI delivers continuous red teaming for agentic AI applications, using purpose-built offensive models to uncover vulnerabilities with the highest attack success rate in the industry. It automatically maps system context, probes multi-stage agent behavior, and finds failure paths that other security tools miss.
Runtime AI Guardrails
Defend AI autonomously enforces real-time guardrails that protect agentic applications with low latency and high accuracy. Its detection and blocking models outperform frontier LLMs, stopping evasions, unsafe tool use, and harmful actions before they execute.
Watch our protection in action.
Ascend AI
Ascend AI delivers continuous, automated red teaming that surfaces deep vulnerabilities in agentic applications before attackers can exploit them.
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
- 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
Defend AI
Defend AI delivers real-time, autonomous protection for agentic applications with guardrail models that detect and block threats faster and more accurately than frontier LLMs.
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 Security Architecture Built for Agentic Applications
Straiker's multi-layered architecture collects deeper signals, reasons across full agent context, and powers the most accurate red teaming and runtime protection for agentic AI applications.
Together, these layers enable Straiker to see the full behavior of your agentic applications, uncover vulnerabilities early, and stop harmful actions in real time.
Application Flexibility
Works across any model, agent framework, or RAG system.
Straiker integrates with every type of AI or agentic application, regardless of your models, vector databases, orchestrators, or infrastructure. You get full security coverage without redesigning your stack.
Deep Signal Collection
Multiple insertion points for complete AI and agent context.
Straiker supports gateways, SDKs, OTLP, eBPF sensors, and thin-client proxies to capture user, network, tool, and agent signals. This multi-layer collection gives us the deep context required for accurate vulnerability discovery and high-fidelity runtime guardrails.
AI Security Engine
MoE + RLHF models trained to detect, exploit, and stop agentic vulnerabilities.
Straiker's AI engine uses fine-tuned models, MoE routing, and reinforcement learning to reason across the complete AI and agent stack. It powers both continuous red teaming and real-time protection with unmatched accuracy and low-latency performance.
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.
Securing the future, so you can focus on imagining it
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