Enterprise AI Security and Compliance Platform

COMPANY OVERVIEW

Purpose-built platform covering every AI security threat, regulation, and modality to enable safe, fast deployment of enterprise AI applications. Recognized as Gartner Cool Vendor in AI Security 2025. Selected for Accenture Ventures, InfoSec Global Innovator, RSA Innovation Sandbox, and Intellyx Digital Innovator programs. Trusted by Fortune 20 technology companies, Fortune 50 pharmaceuticals, and enterprises building customer-facing AI systems. Published industry's first LLM Safety Leaderboard benchmarking 200+ models with continuous red teaming.

CORE FOCUS

Detects, removes, monitors, and ensures compliance for AI security risks through autonomous security agents. Pinpoints hidden risks via dynamic, use-case-specific attacks that adapt in real-time—uncovering security, safety, and brand risks beyond static testing capabilities. Stops threats in real-time through guardrails that learn from every prompt interaction. Translates internal policies and external regulations into automated enforcement without manual overhead. Reduces time to certify and ship AI applications by 90% through automated security and compliance workflows. Maintains 100% protection through continuous monitoring against new and emerging threats.

PRODUCTS & TOOLS

AI Risk Detection – Continuous red teaming with adaptive attack simulation.

• Dynamic testing adapts attacks based on application responses versus static test suites
• Use-case-specific adversarial techniques uncover vulnerabilities unique to deployment context
• Detects prompt injection, jailbreaking, data leakage, model inversion, drip attacks, and adversarial exploits
• Identifies policy violations, hallucinations, bias, toxic content, and brand misalignment

AI Risk Removal – Real-time guardrails with adaptive threat prevention.

• Catches threats as they happen with sub-second response latency
• Gets smarter with every prompt through continuous learning from interaction patterns
• Prevents data exfiltration, deceptive behavior, and unintended model outputs
• Automated controls deploy without manual configuration or ongoing maintenance

AI Monitoring – Real-time insights dashboard for risk visibility and compliance readiness.

• Shows what's working, what's not, and where to act for continuous improvement
• Always ready for audits with evidence trails and compliance documentation
• Tracks model drift, overconfident outputs, and performance degradation
• Quick time to value with dashboard views of cost savings from vulnerabilities detected and removed

AI Compliance Management – Automated policy-to-guardrail translation for regulatory adherence.

• Translates internal policies and external regulations into automated guardrails
• Detects risks early and proves evidence of compliance without manual auditing overhead
• Scales AI deployment without increasing compliance burden
• Supports emerging regulations including EU AI Act and industry-specific frameworks

LLM Safety Leaderboard – Continuous benchmarking of 200+ models for confident model selection.

• Industry's first comprehensive safety comparison across model families and versions
• Enables data-driven model selection based on security posture versus marketing claims
• Updated continuously as new models released and threat landscape evolves

TARGET MARKET

Enterprises deploying customer-facing AI applications requiring security certification and regulatory compliance. Product teams building GenAI features needing fast, safe deployment without security bottlenecks. Security organizations governing AI usage across decentralized business units. Regulated industries including financial services, healthcare, and government requiring evidence of AI safety controls. Technology companies integrating LLMs into existing products and services.

DIFFERENTIATORS

AI Security Agents automate detect, remove, monitor, and comply workflows versus manual security processes requiring constant human oversight. Dynamic red teaming adapts attacks in real-time based on application responses, uncovering vulnerabilities static testing cannot find. 90% reduction in time to certify and ship demonstrates tangible acceleration of AI deployment timelines. Best-in-class accuracy through diverse and sophisticated LLM stress-testing techniques validated against 200+ models. Integrated capabilities work independently or together for optimal security, providing flexibility for phased adoption. Gartner Cool Vendor recognition validates innovative approach addressing critical gap in enterprise AI security market. Skyhigh Security partnership extends generative AI risk capabilities and advanced guardrails into CASB offerings, creating network effect for enterprise adoption.