AI-Powered Runtime Deception
Beelzebub Platform
Beelzebub Platform deploys realistic decoys and canary credentials across your environment. When an attacker interacts with one, your SOC receives a high-confidence signal, an AI-led investigation, and the context needed to respond before the attacker reaches a real asset.
01
Deploy deception across cloud, Kubernetes, networks, APIs, and AI agent surfaces
02
Observe attacker behavior inside isolated decoys instead of production systems
03
Send investigation context to your SIEM, SOAR, firewall, or identity stack
Before & After Beelzebub Platform
See how a realistic deception layer turns otherwise invisible attacker movement into a high-confidence signal your SOC can investigate and act on.
Before
Attackers move undetected
After
Every move triggers a trap
From First Touch to Response
Beelzebub Platform connects deployment, detection, investigation, and reporting in one workflow, so your team can move from signal to decision without reconstructing the incident across separate tools.
01
Unified Threat Dashboard
Monitor active decoys, attack volume, threat origins, targeted services, and recent sessions from a single dashboard. Your team starts with the full context instead of another isolated alert.
02
High-Interaction Decoys
Configure decoys for HTTP, SSH, Telnet, MCP, and other protocols. Define the service, matching behavior, and AI provider to create interactive lures that resemble the systems attackers expect to find.
03
Beelzebub Analyst
Tell the built-in analyst what you want to emulate, such as a legacy login, exposed API, or vulnerable appliance. It prepares the protocol, matching rules, and response behavior for review and deployment.
04
S.O.C. AI
Triage, threat-hunting, malware-analysis, incident-response, and reporting agents work through the evidence produced by the decoy. Analysts receive a structured investigation instead of a raw event stream.
05
Forensic Reporting
Each decoy session produces a plain-English summary of attacker actions, observed techniques, and captured artifacts. The report stays linked to the original session for investigation, escalation, and audit evidence.
06
Canary Credentials
Plant decoy AWS credentials in controlled locations across your environment. Any use is immediately visible because the credentials have no legitimate operational purpose, giving your team a direct signal of credential misuse.
Designed to work with your existing stack
Core capabilities
A focused set of capabilities for detecting post-breach movement, understanding intent, and accelerating the response.
Deploy realistic services and credentials where attackers are likely to move, without placing production workloads at risk.
Output
Production-safe decoy services and credentials
Identify internal reconnaissance and privilege-escalation attempts when an adversary reaches a decoy or canary resource.
Output
High-confidence alerts backed by attacker-session evidence
Convert session telemetry, commands, payloads, and network activity into an investigation your analysts can review and act on.
Output
Analyst-ready timelines, commands, payloads, and intent
Forward verified context through webhooks and integrations to support containment in your firewall, identity, SIEM, or SOAR workflows.
Output
Verified context routed into existing response workflows
Bring your architecture and detection gaps. We’ll map the right decoys, show the investigation workflow, and outline a practical proof of value.
30-minute walkthrough · tailored to your environment · no commitment
SIEM and EDR platforms analyze endpoint and log telemetry. Beelzebub Platform adds active deception: it places controlled decoys and canary resources where legitimate activity should not occur. Interaction with those assets creates a high-confidence signal and captures attacker behavior that can enrich your existing SIEM, EDR, and response workflows.