Question 1

What is the EU AI Act Article 14 deadline for AI agents?

Accepted Answer

August 2, 2026 is the enforcement date for EU AI Act Article 14, which mandates human oversight controls for high-risk AI systems. Teams deploying agentic AI in high-risk categories must have a kill switch, policy enforcement layer, audit log, and evidence of human oversight in place before that date.

Question 2

What is a deterministic kill switch and why does Article 14 require it?

Accepted Answer

A deterministic kill switch is a multi-layer halt state machine — heartbeat, circuit breaker, SIGTERM drain, NATS bus coordination — that can stop an AI agent reliably under load. Article 14 requires human oversight controls, which means agents must be stoppable. If your agent cannot be stopped deterministically under load, you have the illusion of oversight, not real oversight.

Question 3

Why isn't a mission.yaml file with hardcoded thresholds sufficient for regulators?

Accepted Answer

Policy as code comments or static YAML doesn't audit, doesn't version, and doesn't alert on drift. Regulators ask for evidence of control. A proper policy engine has BDI mission files, rule evaluation, and drift detection — an architecture where you can tell a regulator 'here is the control and here is the audit trail.'

Question 4

What is the gap analysis deliverable for Article 14 compliance?

Accepted Answer

The Article 14 gap analysis is a written assessment against EU AI Act human oversight requirements specific to your agent architecture. It covers: deterministic kill switch presence, signing and attestation architecture, policy engine design, audit log integrity, and the evidence trail required to demonstrate control to a regulator or in a discovery request.

Question 5

Why do agentic systems need hardware attestation instead of software signing?

Accepted Answer

The adversary model for agentic systems is compromised compute, not compromised humans. Software signing with a software key can be subverted if the host is compromised. Hardware attestation using a TEE (Trusted Execution Environment) like AWS Nitro produces cryptographic proof that the code ran in a trusted enclave and produced a specific output — which is what you need for evidence-grade auditability.

Question 6

What does tamper-evident logging require and why is retrofitting it difficult?

Accepted Answer

Tamper-evident logging requires SHA-256 chaining or equivalent before writing the first production event. Every log entry cryptographically references the previous one, so deletion or modification is detectable. Retrofitting this into a live system is a multi-week project because the hash chain must be established from a known-good starting point — you cannot add it incrementally to an existing log.

Question 7

What is the TEE signing PoC deliverable and what does it prove?

Accepted Answer

The TEE signing PoC is an AWS Nitro enclave that produces hardware-attested signed outputs in a week-one deliverable. It runs at 42 microseconds deterministic latency. It proves that your agent's critical outputs were produced in a known-good execution environment — which satisfies both the Article 14 attestation requirement and provides a reference implementation for your production system.

	Advisory	Fractional CTO Popular	Embedded
Price	$5K / mo	$15K / mo	$30–40K / mo
Included hours / mo	.	20	Dedicated
Engineering standups	.	✓	✓
Hiring interviews	.	✓	✓
Investor / customer calls	.	✓	✓
Production ownership	.	.	✓
Dedicated focus	.	.	✓
Minimum term	30 days	30 days	3 months

Nikhil Padala

Your AI agents need Article 14 oversight by Aug 2, 2026. I build the kill-switch, policy engine, and audit log that pass. First gap analysis in 7 days.

Why me.

What agent teams get wrong.

No deterministic kill switch

Signing without attestation

Policy as code comments

Audit logs as an afterthought

What you get.

How to engage.

Tell me what you're building.