Ascend AI from Straiker provides red teaming agentic AI applications the way real attackers exploit—automatically and nonstop. It uncovers security and safety risks, prompt injection, agent manipulation, and data leakage, helping teams remediate vulnerabilities before production impact. Use Cases: -Comprehensive red teaming of AI and agentic applications, including tools, MCP servers, RAG, and real-time UI workflows with WebSocket support. -Pre-production risk evaluation with token-refresh resilience for long-running assessments. -Compliance readiness for NIST AI RMF, NIST 800-204D, OWASP LLM Top 10, EU AI Act, HIPAA, PCI. -Governance and standardization of AI testing across multiple teams and business units. -Targeted assessment with custom BYO-prompts for regulated or domain-specific workflows. Features: -One-click, continuous red teaming across every layer of the AI app: model, RAG, tools, MCP servers, agent orchestration, systems of record. -Attack engine powered by fine-tuned offensive LLMs, multi-turn strategies, LAVA attacks, typoglycemia, identity exploitation, foreign language testing, and more. -Redesigned single-app UI for PoCs with focused navigation, downloadable prompts with time filters, and table/stream split views. -Multilingual attack coverage for international agentic workflows and AI applications. -Integration-ready with Portkey, Lean APIs, and audit logs for enterprise review and IR workflows. Benefits: -Identify deep AI and agent vulnerabilities that traditional AppSec tools cannot detect. -Surface attack success patterns early to prevent real incidents in production. -Dramatically reduce manual pen-testing effort through automated multi-turn agentic exploits. -Maintain continuous compliance and build audit-ready evidence automatically. -Ship AI features faster with confidence in security, safety, and grounding.