Active Cyber Zone from ActiveCyber.net

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This 6-part podcast series describes a Defense-in-Depth Security Architecture for Agentic AI based on the principle of bounded autonomy. The architecture defines 10 layers - governance, identity, authorization, agent guardrails, runtime security, model and tool protection, confidential computing, infrastructure security, continuous validation, and security operations. It also includes 3 cross-cutting layers - enterprise agent control plane, security telemetry and observability, and human oversight and accountability. A critical distinction between identity-based trust—knowing which agent is acting—and execution-based trust—knowing what software and hardware environment is actually executing the agent is also presented. Confidential Computing and Trusted Execution Environments (TEEs) provide an important foundation for the latter through hardware-backed isolation and remote attestation.

The podcast maps this architecture to an emerging ecosystem of commercial and open-source technologies. The analysis identifies areas in which the market is rapidly developing as well as persistent architectural gaps, particularly around agent-to-agent trust, memory integrity, execution provenance, and the relationship between identity and attested runtime state.

Check out the article or interview at www.activecyber.net

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This 6-part podcast series describes a Defense-in-Depth Security Architecture for Agentic AI based on the principle of bounded autonomy. The architecture defines 10 layers - governance, identity, authorization, agent guardrails, runtime security, model and tool protection, confidential computing, infrastructure security, continuous validation, and security operations. It also includes 3 cross-cutting layers - enterprise agent control plane, security telemetry and observability, and human oversight and accountability. A critical distinction between identity-based trust—knowing which agent is acting—and execution-based trust—knowing what software and hardware environment is actually executing the agent is also presented. Confidential Computing and Trusted Execution Environments (TEEs) provide an important foundation for the latter through hardware-backed isolation and remote attestation.

The podcast maps this architecture to an emerging ecosystem of commercial and open-source technologies. The analysis identifies areas in which the market is rapidly developing as well as persistent architectural gaps, particularly around agent-to-agent trust, memory integrity, execution provenance, and the relationship between identity and attested runtime state.

Check out the article or interview at www.activecyber.net

Send us Fan Mail

This 6-part podcast series describes a Defense-in-Depth Security Architecture for Agentic AI based on the principle of bounded autonomy. The architecture defines 10 layers - governance, identity, authorization, agent guardrails, runtime security, model and tool protection, confidential computing, infrastructure security, continuous validation, and security operations. It also includes 3 cross-cutting layers - enterprise agent control plane, security telemetry and observability, and human oversight and accountability. A critical distinction between identity-based trust—knowing which agent is acting—and execution-based trust—knowing what software and hardware environment is actually executing the agent is also presented. Confidential Computing and Trusted Execution Environments (TEEs) provide an important foundation for the latter through hardware-backed isolation and remote attestation.

The podcast maps this architecture to an emerging ecosystem of commercial and open-source technologies. The analysis identifies areas in which the market is rapidly developing as well as persistent architectural gaps, particularly around agent-to-agent trust, memory integrity, execution provenance, and the relationship between identity and attested runtime state.

Check out the article or interview at www.activecyber.net

Send us Fan Mail

This 6-part podcast series describes a Defense-in-Depth Security Architecture for Agentic AI based on the principle of bounded autonomy. The architecture defines 10 layers - governance, identity, authorization, agent guardrails, runtime security, model and tool protection, confidential computing, infrastructure security, continuous validation, and security operations. It also includes 3 cross-cutting layers - enterprise agent control plane, security telemetry and observability, and human oversight and accountability. A critical distinction between identity-based trust—knowing which agent is acting—and execution-based trust—knowing what software and hardware environment is actually executing the agent is also presented. Confidential Computing and Trusted Execution Environments (TEEs) provide an important foundation for the latter through hardware-backed isolation and remote attestation.

The podcast maps this architecture to an emerging ecosystem of commercial and open-source technologies. The analysis identifies areas in which the market is rapidly developing as well as persistent architectural gaps, particularly around agent-to-agent trust, memory integrity, execution provenance, and the relationship between identity and attested runtime state.

Check out the article or interview at www.activecyber.net

Send us Fan Mail

This 6-part podcast series describes a Defense-in-Depth Security Architecture for Agentic AI based on the principle of bounded autonomy. The architecture defines 10 layers - governance, identity, authorization, agent guardrails, runtime security, model and tool protection, confidential computing, infrastructure security, continuous validation, and security operations. It also includes 3 cross-cutting layers - enterprise agent control plane, security telemetry and observability, and human oversight and accountability. A critical distinction between identity-based trust—knowing which agent is acting—and execution-based trust—knowing what software and hardware environment is actually executing the agent is also presented. Confidential Computing and Trusted Execution Environments (TEEs) provide an important foundation for the latter through hardware-backed isolation and remote attestation.

The podcast maps this architecture to an emerging ecosystem of commercial and open-source technologies. The analysis identifies areas in which the market is rapidly developing as well as persistent architectural gaps, particularly around agent-to-agent trust, memory integrity, execution provenance, and the relationship between identity and attested runtime state.

Check out the article or interview at www.activecyber.net

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This is a journey of 8 episodes narrated by Chris Daly, the host of the Active Cyber Zone. It begins by explaining why traditional certification approaches to cybersecurity are under pressure. Subsequent episodes introduce the Assurance Continuum as the conceptual framework, explore the Unified Election Assurance Pipeline (UEAP) as the operational architecture, present the Election Assurance Maturity Model (EAMM) as the roadmap for implementation, and conclude by broadening the discussion beyond elections to the future of critical infrastructure. Those three contributions—along with the call for future research into continuous, evidence-based assurance—are the podcast series' central legacy. 

Check out the article or interview at www.activecyber.net

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This is a journey of 8 episodes narrated by Chris Daly, the host of the Active Cyber Zone. It begins by explaining why traditional certification approaches to cybersecurity are under pressure. Subsequent episodes introduce the Assurance Continuum as the conceptual framework, explore the Unified Election Assurance Pipeline (UEAP) as the operational architecture, present the Election Assurance Maturity Model (EAMM) as the roadmap for implementation, and conclude by broadening the discussion beyond elections to the future of critical infrastructure. Those three contributions—along with the call for future research into continuous, evidence-based assurance—are the podcast series' central legacy. 

Check out the article or interview at www.activecyber.net

Send us Fan Mail

This is a journey of 8 episodes narrated by Chris Daly, the host of the Active Cyber Zone. It begins by explaining why traditional certification approaches to cybersecurity are under pressure. Subsequent episodes introduce the Assurance Continuum as the conceptual framework, explore the Unified Election Assurance Pipeline (UEAP) as the operational architecture, present the Election Assurance Maturity Model (EAMM) as the roadmap for implementation, and conclude by broadening the discussion beyond elections to the future of critical infrastructure. Those three contributions—along with the call for future research into continuous, evidence-based assurance—are the podcast series' central legacy. 

Check out the article or interview at www.activecyber.net

Send us Fan Mail

This is a journey of 8 episodes narrated by Chris Daly, the host of the Active Cyber Zone. It begins by explaining why traditional certification approaches to cybersecurity are under pressure. Subsequent episodes introduce the Assurance Continuum as the conceptual framework, explore the Unified Election Assurance Pipeline (UEAP) as the operational architecture, present the Election Assurance Maturity Model (EAMM) as the roadmap for implementation, and conclude by broadening the discussion beyond elections to the future of critical infrastructure. Those three contributions—along with the call for future research into continuous, evidence-based assurance—are the podcast series' central legacy. 

Check out the article or interview at www.activecyber.net

Send us Fan Mail

What does it mean to be invisible on a battlefield?

Stealth has always been about one fundamental question: How do you accomplish a mission without giving the adversary enough information to stop you?

For most of the modern military era, that question has been answered primarily in physical terms.

• Make an aircraft difficult for radar to detect.
• Make a tank blend into the terrain.
• Reduce infrared emissions.
• Control electromagnetic radiation.
• Build shapes that reflect radar energy away from the receiver.
• Use materials that absorb energy rather than returning it.

That's physical stealth.

But now imagine a different kind of battlefield.

An autonomous drone enters contested airspace.

The enemy's radar doesn't see it.

Its infrared signature is difficult to distinguish.

But the adversary sees something else:

• A communication pattern.
• A network connection.
• A digital identity.
• A behavioral anomaly.
• A command-and-control relationship.

The drone may be physically stealthy. But its digital shadow may still be visible.

And this raises a fascinating question: Is cyber stealth becoming the digital equivalent of physical stealth?

Or is it something even more powerful?

This episode explores that question. We'll look at everything from metamaterial cloaks and thermal camouflage to plasma-based radar stealth, network cloaking, Living off the Land, behavioral camouflage, covert command-and-control and AI-driven stealth.

And by the end, we'll arrive at a bigger idea: The future of stealth may not be about invisibility at all.

It may be about controlling observability.

Check out the article or interview at www.activecyber.net