A structural shift in
cyber risk
On April 7, 2026, the Cloud Security Alliance, SANS Institute, and over 80 leading CISOs documented how Anthropic's Claude Mythos model autonomously discovered thousands of critical zero-day vulnerabilities, achieving a 72% exploit success rate with no human guidance.
The briefing's conclusion: the cost and skill floor for discovering and exploiting vulnerabilities has structurally collapsed, creating a permanent asymmetric advantage for attackers. Every security assumption built on human-paced threat actors is now obsolete.
"The capabilities seen in Mythos will quickly become more widely available, dramatically increasing the number and frequency of complex, novel attacks organizations will face."
Five broken assumptions
The Mythos-ready program explicitly challenges every pillar of modern enterprise security.
Patching as primary control
When time-to-exploit drops below time-to-patch, patching becomes necessary but insufficient. Prepare for multiple simultaneous high-severity incidents in the same week.
EDR/SIEM as sufficient detection
Signature-based tools generate thousands of false positives and are blind to AI-generated exploits never seen before. SOC teams get overwhelmed before the real threat is spotted.
Annual pentests as validation
"Security posture degrades the moment a pentest report is delivered." Point-in-time testing now creates months of blind spots in a continuously evolving attack landscape.
Manual malware analysis at scale
When AI generates novel exploits in seconds, waiting days for a human reverse engineer creates a critical intelligence gap. Attacker tempo exceeds analyst capacity.
Human-scale SOC operations
Burnout and attrition are now direct operational risks. Security teams are caught between accelerating volumes, expanding surfaces, and the cognitive load of AI integration.
Deceive, Detect, Respond
Three integrated products that form a closed-loop defense operating entirely at machine speed.
Deception & Containment
Beelzebub Cloud
AI-powered runtime deception sensors that produce zero false positives, because only attackers ever touch them. Deploys in under 24 hours with no endpoint agents.
- ✓ Zero false positives, 100% verified alerts
- ✓ Machine-speed autonomous containment
- ✓ Runtime sensors catching AI guardrail bypasses
- ✓ As a framework, it can be adapted to design and secure any type of system.
Continuous Red Teaming
Arcangelo
Your autonomous Red Team running 24/7. Replicates the latest AI-driven attack techniques through continuous adversarial simulation, replacing stale annual pentests.
- ✓ 24/7 AI-driven adversarial simulation
- ✓ AI model jailbreak
- ✓ External attack surface mapping (EASM)
- ✓ Remediation paths mapped to MITRE ATT&CK
Autonomous Threat Intelligence
Caronte
LLM-powered reverse engineering and sandbox detonation that converts novel exploits into actionable blocklists in minutes, matching AI-generated threat velocity.
- ✓ Automated code decompilation
- ✓ Safe isolated payload detonation
- ✓ Threat actor infrastructure mapping
- ✓ MITRE ATT&CK classification, automatically
How Beelzebub maps to
every CSA priority action
| CSA Priority Action | Beelzebub Product | How It Maps |
|---|---|---|
| 01 Verify and enable segmentation, egress filtering, Zero Trust | Beelzebub Cloud | Runtime sensors validate segmentation by detecting any unauthorized lateral movement in real time |
| 02 Prepare for multiple simultaneous high-severity incidents | Beelzebub Cloud | Autonomous containment handles multiple incidents concurrently at machine speed, no manual triage |
| 03 Use LLM-based vulnerability discovery | Arcangelo | Continuous AI-driven red teaming discovers exploitable paths before adversaries |
| 04 Run tabletop exercises for simultaneous incidents | Arcangelo | Live adversarial campaigns replace theoretical tabletops with real validated attack scenarios |
| 05 Introduce AI agents to the cyber workforce | Caronte | Autonomous reverse engineering and alert triage augment SOC analysts at machine speed |
| 06 Update risk metrics and assessment | All three | Centralized dashboard with real-time MTTD, MTTR, and blast radius metrics across all layers |
| 07 Prepare for burnout / reduce SOC costs | All three | 60% SOC cost reduction through autonomous triage, containment, and reporting |
| 08 Test both infrastructure and AI models | Arcangelo + Cloud | Unified platform tests IT, cloud, and AI models; MCP honeypots detect AI agent manipulation |
| 09 Accelerate procurement and governance | All three | Single vendor for deception, simulation, and intelligence, streamlined vs. three-tool stack |
| 10 Build collective defense / share threat intel | Caronte | STIX/TAXII export enables automated IOC sharing with ISACs, CERTs, and sector coordinating groups |
Built for regulatory alignment
Findings map natively to every major framework your legal and security teams require.
Ready to build a
Mythos-Ready program?
Read the full white paper for the complete analysis: timeline of AI offensive evolution, detailed product architecture, full compliance mapping, and the closed-loop defense model that operates entirely at machine speed.