RADAR VECTORAI™: VALIDATION AGAINST AI-GENERATED ATTACKS
Validate your DDoS defenses against
AI-generated attacks
RADAR validates AI-orchestrated attacks today; RADAR VectorAI extends that to AI-generated attacks: novel vectors created by AI.
Of attack vectors bypass
deployed protection at first
independent validation
Increase since 2024 in the
median duration of Layer 3 and 4
DDoS attacks on financial services
A global payment provider's
DDoS exposure, before
and after RADAR
Why validate against AI-generated attacks?
Attackers now use AI to probe configuration gaps at machine speed. AI-generated attacks go further: novel vectors no rule set or behavioral model has seen before.
So even with tier-1 protection deployed, there can be a gap between what is supposed to be protected and what is actually covered.
Unlike software vulnerabilities, DDoS gaps live in your deployed defenses and their configurations, and they are unique to your environment. Only continuous, independent validation shows which of them a never-seen vector would get through.
AI done right, private by design
A multi-LLM engine integrates Claude, ChatGPT, Grok and a MazeBolt proprietary model, so the attack scenarios advance as the models advance. An anonymization gateway strips company-identifiable data before any model is queried: no model ever has access to it.
This lets you:
- Validate the defenses against vectors no one has seen before
- Find the gaps a novel vector could get through across every public-facing service
- Fix the most dangerous gaps first: SmartCycle™ ranks validated gaps by likelihood of exploitation
A new standard in DDoS validation for the AI era
AI can now create attack vectors no one has seen before. A point-in-time red team test can only use vectors that already exist, so it cannot show how your defenses hold against the ones AI creates next.
RADAR VectorAI extends RADAR’s validation to AI-generated attacks, continuously, and is designed to run without affecting service availability or SLA response times. As the models advance, the attack scenarios advance.
How RADAR VectorAI works
The multi-LLM engine generates never-seen attack vectors from anonymized data. RADAR delivers them against your deployed defenses on live production, shows which ones get through, and revalidates each fix with your existing vendor.
Latest News and Research
RADAR Continuous DDoS Testing vs. Red Team Testing
See how RADAR Core continuous DDoS testing outperforms traditional DDoS testing approaches.
| Metric | RADAR continuous validation | Point-in-time red team testing |
|---|---|---|
| Validations a year | Thousands, on live production | Fewer than 50 |
| Service impact | Designed to run without affecting service availability or SLA response times | Needs maintenance windows |
| Scope | Every onboarded public-facing service, 150+ vectors across L3, L4 and L7 | One or two chosen targets |
| Frequency | Continuous | Point in time, annual or quarterly |
