3,400+ AI cyberattacks strike every hour, powered by LLMs.

fighting AI with AI

Vulnerabilities from thousands of codebases are brought together in a unified dashboard, where they can be instantly prioritized and remediated at scale.

Cyber risk is accelerating and LLMs are fueling it

In today’s increasingly uncertain world, conflicts are escalating and cyberattacks are rising dramatically, several important security benchmarks (like AutoPenBench, RedCode, FuzzBench, etc) point that global average of incidents have climbed to ~2,000 attacks per organization per week in Q2 2025—up 21% year-over-year

What’s new:

LLMs change the economics of attack

LLMs don’t just “improve hacking”—they industrialize it:

Social engineering at scale:

AI-enabled phishing and synthetic media make deception cheaper, faster, and harder to spot; ENISA reports AI-supported phishing represented 80%+ of observed social-engineering activity by early 2025. ENISA

Lower barrier, higher sophistication:

Frontier AI research finds today’s impact is already more pronounced on the attack side—especially for human-targeted attacks happening at real-world scale—suggesting attackers may benefit first. Berkeley RDI+1

Sharper tools for intrusion:

Even AI developers are warning about the trajectory—OpenAI has flagged that upcoming models could meaningfully assist with real-world intrusions, including the potential to enable zero-day exploitation. Reuters

Bottom line:

the threat landscape is getting louder (more attacks), sharper (better targeting), and more strategic (geopolitics)—and LLMs are a multiplier. That’s why application security can’t rely on slow, manual review cycles or noisy tooling; it needs defenses that scale with modern attackers.

Our Platform

Security that understands impact, not just issues.

Traditional security tools tell you what is wrong. They don’t tell you what actually matters. This platform continuously analyzes how your code behaves in the real world — how vulnerabilities interact, which assets are truly reachable, and where a weakness becomes a breach. Instead of overwhelming teams with alerts, it delivers proof-backed findings, clear remediation, and verified fixes. The result is not more reports. It’s fewer surprises, less downtime, and security decisions you can stand behind.

Product Phases

PHASE 1 ─ Analyze

Understand your environment, not just your code

Gl00be AI-SAST analyzes your full application landscape: source code, dependencies, configurations, and architectural context. Instead of relying on static rules, it applies contextual AI reasoning to surface vulnerabilities that are actually reachable and exploitable in your environment.

PHASE 1 ─ Analyze

Understand your environment

Gl00be AI-SAST analyzes your full application landscape: source code, dependencies, and architectural context.

isn’t about scanning more code, it’s about understanding it.

Use Cases

Our AI-SAST cyber solutions

This is no longer about penetration tests, but about proactivaly scanning directly your database to find real vulnerabilities and exploitable hacks.

Don’t miss the future

AI-Static Application Security Testing platform

If AI builds what’s next. Gl00be ensures it survives. Vulnerabilities are nullified by autonomous AI — before reaction, before exploitation. Zero isn’t a target. It’s the only state.

Why choose us:

Immediate, custom remediation that matches your codebase and explains why it matters

A 24/7 autonomous vulnerability scanner that learns continuously and prioritizes real risk

Offensive agents that chain vulnerabilities and validate real exploit paths before attackers do