SEE WHAT AI WILL FIND BEFORE ATTACKERS DO

The Shift

Attackers are changing how they operate. What used to take weeks of manual effort can now be explored in hours, across a much larger attack surface, as demonstrated by Anthropic's Project Glasswing. Traditional, periodic testing models are struggling to keep pace with this shift.

Early signals from Anthropic and others show what this looks like in practice: AI exploring attack paths at a speed and scale traditional testing cannot match. In Synack’s analysis of the AI security coverage gap, we outline why defensive models built around periodic, human-led testing are falling behind.

The Problem

Most organizations believe their critical systems are covered. In reality, only a fraction of the attack surface is actually tested. The rest remains unvalidated—often the parts that matter most. These are the blind spots modern attackers are designed to find.

The Reality

Almost every organization prioritizes pentesting. But on average, only about 32% of the attack surface is actually tested. The majority of systems remain exposed—not because teams do not care, but because traditional approaches do not scale.

The Glasswing Readiness Assessment

This is not just a pentest. It is a focused assessment designed to show how your environment holds up against next-generation, AI-driven attack models—where coverage, not effort, determines risk. We deploy Attack Surface Discovery and the Synack Autonomous Red Agent (Sara) to:

• Expand coverage across your most critical assets
• Identify real attack paths at scale
• Expose what is currently untested

We then validate every finding—so you only see what is real and exploitable. No noise, just signal. AI explores the surface. Humans prove what matters.

How It Works

1. AI Exploration
   Sara explores your attack surface at scale—mirroring how modern attacks operate.
2. Coverage Expansion
   We move beyond sampling and expand testing where risk actually lives.
3. Human Validation
   The Synack Red Team confirms every finding—chaining vulnerabilities and eliminating false positives.

What You Get

• Verified, exploitable vulnerabilities
• Clear visibility into what is actually tested—and what is not
• A realistic view of your true attack surface coverage
• Immediate actions to reduce risk

See what an AI attacker would find today—before they do.

If you’re not testing continuously, attackers already are.