First & Only Secure Agentic Framework
Honeycomb Architecture
Attacks Thwarted
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Problem Statement
The absence of Agentic AI adoption across both the commercial and government sectors is fundamentally due to lack of confidence & reliability. The three main contributing factors are:
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1. Sub-optimal LLM or Model Performance
2. Absence of Security
3. Absence of Information Control
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The first factor regarding model performance is progressively diminishing and is comprised of a saturated market of hyperscalers and large tech companies. Recent trends suggest models will surpass the theoretical threshold to satisfy performance requirements.
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The second and third factors are arguably more important for wide-scale adoption; the ability to deploy agentic solutions at various levels of security & the ability to strictly define guardrails for information underpin the very infrastructure agents and their tools must operate within. Even more so, no company has satisfied this need and very few are attempting to do so.
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The Solution
This is where Honeycomb AI comes in. With our Honeycomb architecture(HCA), users may intuitively create, secure, monitor, and deploy predefined or custom agentic solutions.
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With minimal overhead, this architecture is perfect for all single or multi-agent applications. Whether accessing sensitive information, managing external connections, or interacting with other agents, be confident that your application can handle malicious or unexpected events.
Overview & Assessment
Honeycomb Multi-Agent Orchestration
Malicious
Actor
Unexpected
Event
Agent
Orchestrator
Agent
Application Secure
Status Quo: Multi-Agent Orchestration
Application Vulnerable
Orchestrator
Agent
Agent
Malicious
Actor
Unexpected
Event
Design & Features
Cell Structure
Incoming & Outgoing Data
Firewall
Custom Filters
Data Monitor
Cell Contents
Currently, honeycomb cells support the following 6 entities with more in development:
Agent
Data
Tools
Web
MCP
Sandbox
Honeycomb Cells
​​Honeycomb cells are the fundamental building blocks of the honeycomb architecture. Cells act as containers which may hold a variety of entities including but not limited to applications, tools, connections, data, and agents. The three main uses of cells are:
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1. Tiered Defensive Firewall
A tiered defensive firewall allows for user-defined scrutiny on a cell's function. Apply stricter surveillance where and when appropriate.
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2. Control of Incoming & Outgoing Data
Control of incoming and outgoing data allows for peace of mind when using sensitive or protected information. Define data format and requirements as needed.
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3. Real-time Resource Usage & Monitoring
Real-time resource usage and monitoring allows for simple oversight for deployed agentic solutions. Detect anomalies, set alerts, and create trigger-able alarms.
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Confident in a data pipeline or avoiding redundant safety measures?
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​Firewalls, filters, and data monitoring walls are toggle-able: giving developers the ability to optimize where additional overhead is needed or not.
Honeycombs
​Honeycomb allow for the composition of honeycomb cells, their contents, and their respective relationships. Honeycombs have limitless configurations and the ability to dynamically scale.
Tool & Data Access
Easily configure agentic applications by equipping agents with access to tools, data, MCP servers, and more.
Multi-Agent Coordination
Organize task distribution and parallelization with multi-agent collaboration. Great for identifying bottle-necks and areas for optimization.
Isolate & Control Cells
Secure vulnerable and experimental entities away from your application. Best for minimizing data leakage risk and debugging purposes.
Beehives & Bee Nests
​Beehives & Bee Nests are composed of honeycombs, supporting parallelization for agentic solutions: optimizing agentic AI in multi-core & multi-gpu hardware instances.
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Easily containerize any agentic application
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Create agentic configuration files to easily instantiate
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Compare configuration performance in an agent sandbox
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Extensive logging & live diagnostic reporting
Beehive
Beehives are optimal for either hardware constrained environments or where consistency is preferable.
Bee Nest
Bee Nests are optimal for resource scalable solutions with the need to adapt to volatile traffic or throughput.
Want to control resource usage?
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Beehives & Bee Nests allow for custom CPU, GPU, RAM, and Memory thresholding not only at the top level, but at the honeycomb and cell level too.
Beehive
Honeycomb
Honeycomb
Honeycomb
Honeycomb
Honeycomb
Honeycomb
Built-in Red Teaming
Adversarial Agent
​The Honeycomb Architecture comes with a pre-built adversarial agent capable of simulating attacks across many vectors, potentially exposing vulnerabilities.
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Automatically configure to run a testing session before any deployment.
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The adversarial agent is also available as a stand-alone service - connect any endpoint and receive a security report in minutes.
Learning over Time
​The adversarial agent is quick to adapt to new vulnerabilities and security incidents, learning from industry mistakes.
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Coming soon: automatically generating and publishing incident reports
HCA vs. Other Frameworks
HCA
Google ADK
MSFT Autogen
CrewAI
LangChain
Swarms
Scalable
Logging
Decoupled: Secure-By-Design
​Information Control
Malware Protection
Phishing Protection
Injection Attack Prevention
Path Traversal Attack Prevention
Content Validation
Network Security
Resource Management
Access Transparency
Agent Context Efficient
Built-in Red Teaming Service
Built-in Diagnostic Scanner
More for Less
Why pay more for the inconvenience of many vendors, for a less secure product?
Many Vendors
Threat Detection
Cloud Security
Red Teaming
IAM
Application Security
SIEM
Data Protection
1 Vendor
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Honeycomb