Attack Simulation
AI-Driven Attack Simulation
Automated adversary emulation mapped to MITRE ATT&CK. AI-driven attacks that adapt, persist, and create realistic threat actor behavior -- forcing defenders to think, not memorize.
Adaptive Adversaries
Beyond Static Scenarios
Traditional labs use scripted attacks that analysts memorize after one attempt. CymBytes attack simulations use AI to create dynamic, unpredictable adversary behavior.
Adaptive Attack Chains
AI-driven attacks adjust tactics based on defender responses. If you block one path, the adversary pivots -- just like a real threat actor.
Dynamic Technique Selection
Attack simulations randomly select from technique variants within each ATT&CK tactic.
Realistic Threat Actor Behavior
Dwell time, lateral movement patterns, and exfiltration techniques mirror real-world APT groups -- not scripted playbooks.
Objective-Driven Campaigns
Every simulation has a goal: data exfiltration, ransomware deployment, or credential harvesting. Defenders must identify intent, not just activity.
ATT&CK Framework
MITRE ATT&CK Coverage
Attack simulations span the full kill chain -- from initial access through exfiltration -- covering the techniques that matter most to enterprise defenders.
Initial Access
Phishing, credential stuffing, and exploit-based entry vectors targeting user workstations and exposed services.
Execution & Persistence
PowerShell, scheduled tasks, registry modifications, and service creation to establish and maintain access.
Privilege Escalation
Token manipulation, UAC bypass, Kerberoasting, and AD exploitation to gain domain admin privileges.
Lateral Movement
Pass-the-hash, RDP pivoting, WMI execution, and SMB-based lateral movement across segmented networks.
Collection & Staging
File discovery, archive creation, and data staging on internal hosts before exfiltration attempts.
Exfiltration
DNS tunneling, HTTPS exfil, and encrypted channel abuse to move data out of the environment.
Dual-Audience Testing
For Human Analysts and AI Agents
The same attack simulations, the same environments, the same scoring. Benchmark human and AI performance side by side.
Human Analysts
SOC analysts detect, investigate, and respond to AI-driven attacks in real time. Every action is measured against MTTD, MTTI, MTTC, and MTTR benchmarks.
- Real-time SIEM alerts and detections
- Endpoint telemetry for deep investigation
- Evidence collection and timeline building
- Incident response workflow scoring
AI Agents
Autonomous security agents face the same attack simulations in the same environments. Benchmark AI performance against human operators on identical scenarios.
- API-driven environment access
- Identical attack scenarios and scoring
- Head-to-head human vs. AI comparison
- Automated regression testing for AI SOC tools
See what evidence-based training looks like.
The evidence-based, enterprise ready, cloud native AI cyber range & SOC training labs — built for teams that need to prove readiness.