Skip to main content

The first platform to assess all five pillars of Cyber AI readiness

CYBAIR is the only assessment that covers AI as a Threat (defensive readiness), Securing AI (AI model security), AI as a Defender (AI-augmented security operations), AI GRC (governance, risk & compliance), and AI Workforce Readiness — in one unified platform.

🛡️CYBAIR Dashboard Preview
Assessment Framework

The Five Pillars of Cyber AI Readiness

CYBAIR is the only platform that assesses all five dimensions in one unified framework — from defending against AI-powered attacks and securing your AI models, to using AI as a force multiplier for security operations, with comprehensive governance and a ready workforce.

🛡️

AI as a Threat

5 areas

The threat landscape has fundamentally shifted. Adversaries are weaponizing AI to craft attacks that adapt in real time, personalize social engineering at machine speed, and discover vulnerabilities faster than any human team. Unlike traditional cyber threats, AI-powered attacks mutate, learn from defenses, and operate at a scale that renders conventional perimeter security obsolete. This pillar measures whether your organization is still fighting yesterday's war — or whether you've built the AI-aware, adaptive defenses needed to survive the next generation of cyber conflict.

💼 A single successful AI-powered attack can bypass years of security investment. Deepfake fraud, AI-mutated malware, and automated reconnaissance have already cost global enterprises billions. Organizations that fail to adapt will face accelerating breach costs, regulatory penalties, and irreparable reputational damage.🌐 In 2025, deepfake-based fraud rose 1,200% year-over-year. AI-generated phishing emails now achieve click-through rates 3x higher than human-crafted campaigns. Ransomware gangs are using AI to accelerate their attack chains from weeks to hours.
🎭

Social Engineering Defense

Domain 1 of 5
🔍What It Is

The ability to detect, resist, and respond to AI-generated social engineering — including deepfake video calls, voice cloning, and synthetic media targeting employees at every level.

🎯Why It Matters

Deepfake social engineering bypasses traditional awareness training. Attackers impersonate CEOs, vendors, and trusted partners with alarming fidelity. In one case, a finance worker was tricked into transferring $25 million via a deepfake video call.

⚙️Assessment Approach

CYBAIR evaluates your synthetic media detection tools, employee recognition training programs, biometric verification protocols, and cross-channel authentication procedures.

📊Key Metrics

Mean time to detect synthetic media (MTTD-SM) · Employee deepfake recognition rate (%) · Verification protocol adherence (%)

📊

Maturity Spectrum

Every domain is scored on a proven 4-level maturity scale — from Ad-Hoc to Optimized

Ad-Hoc
Reactive, inconsistent, no formal processes
Developing
Basic awareness, emerging capabilities
Established
Formalized, measurable, repeatable
Optimized
Predictive, autonomous, industry-leading
💡

Each pillar is scored independently using weighted models. Your Composite Cyber AI Readiness Index (0–100) aggregates all pillars into a single actionable metric for leadership reporting.

🚀

Ready to assess your Cyber AI readiness?

Start with a full CYBAIR assessment or run a quick pulse check to understand your organization's resilience across all five pillars — from AI-powered threats to workforce readiness.

CYBAIR FAQs