Find here all our blog posts tagged with: EASA.

An engineer's hand tracing a glowing stress analysis pattern across an aircraft wing surface.

Aerospace's AI Bottleneck Is the Signature, Not the Software

AI can generate stress analysis and defect findings faster than engineers can validate them against FAA and EASA standards, and that verification capacity is the real constraint.

Abstract close-up of aerospace composite material transitioning from sharp focus to digital blur, symbolizing the gap between AI-driven discovery and certification validation.

The Materials Discovery Boom Aerospace Regulators Can't Yet Absorb

Generative AI is outpacing aerospace certification capacity, making evidence-ready validation the real constraint on new materials programs.

Two diverging flight paths symbolizing separate governance tracks for aerospace AI approval.

Clearance or Certification: Aerospace AI's Governance Fork

Aerospace AI adoption is splitting between use-case clearance frameworks and capability-specific certification, and buyers need to know which track applies before they scale.

An engineer alone in a large aerospace structural test lab, dwarfed by the scale of the facility around them.

Aerospace's AI Bottleneck Is Not the Model. It's the Validator.

As AI accelerates inspection, simulation, and structural analysis, the scarce resource is the credentialed workforce who can defend that evidence to FAA and EASA.

A maintenance technician reviews a glowing tablet displaying technical directives beside a parked aircraft in a hangar.

Who Signs Off When AI Triages an Airworthiness Directive

Agentic AI is entering AD and SB processing in MRO, raising a hard question about audit trails and accountability under FAA and EASA continued airworthiness rules.

A CAD model of an aircraft part with overlaid digital verification markers representing automated design checking.

Self-Verifying AI Doesn't Mean Self-Qualifying

Agentic AI is moving into aerospace design and engineering tooling, but DO-330 tool qualification still governs whether any of that verification counts.

A commercial aircraft descending through clouds at dusk, symbolizing the approach to AI-assisted landing systems.

Airbus's AI Landing Trial Is Modest. The Certification Question It Raises Isn't.

Airbus's Mistral-assisted landing trial is workload automation, not autonomy, but it still exposes gaps in how aviation certifies learned software.

Cockpit interior of a commercial jet during a low-light landing approach, instrument glow lighting the flight deck.

Autonomous Landings Need Their Own Black Box

Airbus's AI landing trial and Nvidia's push for AI action logs point to the same gap: aviation certification demands auditable evidence, not just working code.

A commercial airliner on approach at dusk with an overlay of abstract data-mesh light patterns across its fuselage.

Autonomous Landings Won't Clear Certification on Capability Alone

Airbus's AI landing trials and new explainability mandates show FAA and EASA will certify model behavior, not just performance.

An aircraft wing at dusk overlaid with a faint circuit and neural network pattern, symbolizing AI embedded in airframe systems.

Aerospace Is Buying AI Faster Than It Can Certify It

AI is spreading across avionics, defense electronics, and design tooling while EASA and FAA certification methodology for airborne AI remains unfinished.

Abstract illustration of flight paths and network lines converging over an aircraft silhouette at dawn, symbolizing distributed aviation safety systems.

Airworthiness Is Becoming a Property of the System, Not the Aircraft

FAA's Part 108 drone framework and live AI forecasting in ATC decisions show certification shifting from airframes to software stacks that update faster than any type cert.

A darkened control room with server racks and a glowing radar display, symbolizing the architecture behind air traffic management systems.

The Architecture Question Behind AI Agents in Air Traffic Control

As AI agents are proposed to manage rising air traffic, the unresolved decision is architecture and assurance, not model capability.

A cargo freighter aircraft on the tarmac with its avionics bay open for inspection, cockpit lit with a faint blue data overlay.

Retrofitting Autonomy Into Certified Freighters Changes the Buyer's Question

Merlin and IAI's push to certify autonomous flight systems on existing Part 25 cargo airframes shifts the compliance question from airworthiness to operational assurance.

An unmanned aircraft hovering above layered glass panels symbolizing separate tiers of safety certification.

Aviation Is Building a Second Certification Track for Autonomy

EASA's SAIL rating for Shield AI's V-BAT signals that autonomy and inference stacks now need their own assurance case, separate from the airframe.

A jet engine surrounded by abstract glowing data threads, symbolizing AI embedded in aviation maintenance and operations.

Aviation Is Deploying AI Faster Than It Can Certify It

MRO, cockpit, and airspace AI are advancing across aviation while the FAA still lacks a settled safety assurance method, raising airworthiness and liability exposure.

Abstract layered geometric patterns over a cockpit silhouette symbolizing AI risk assessment in aviation safety systems.

Aviation's Assurance Gap Meets Autonomous AI

Aircraft certification and inspection regimes are built for deterministic systems, and the emerging autonomy stack is exposing what that model cannot see.

A commercial aircraft flying across a boundary between two differently lit cloud systems, representing separate regulatory zones.

The C919's Real Test Isn't Mongolia. It's the Bilateral Chain Behind It.

COMAC's first international C919 flight bypasses FAA and EASA certification entirely, and the bilateral recognition strategy behind it deserves more scrutiny than the headline route.

A commercial jet on a runway at dawn connected by faint glowing lines to distant control towers, symbolizing regulatory pathways to market access.

For the C919, Certification Is the Product

COMAC's C919 shows that airworthiness certification, not airframe performance, is what actually gates access to global aerospace markets.

A business jet on a runway with abstract light trails converging toward the cockpit, symbolizing AI data feeding into flight decisions.

The Certification Machine Works. Autonomy Hasn't Earned a Seat Yet

Triple-certified business jets prove the FAA-EASA-ANAC pathway is mature, but aerospace has no equivalent framework for certifying AI as a flight-critical decision-maker.

A small electric training aircraft on a runway at dawn with its shadow crossing differently colored ground markings, symbolizing divided regulatory jurisdictions

Type Certified in Europe. Exempted in America.

The Velis Electro's patchwork of approvals shows that electric aircraft certification does not travel across borders the way buyers assume.

A cargo aircraft in a hangar at dusk with a faint digital overlay across its fuselage, symbolizing autonomous flight AI integration into a certified airframe.

In Autonomous Flight AI, the Certification Pathway Is the Product

Regulated buyers evaluating aerospace autonomy startups should underwrite the type certificate partnership, not the model's performance claims.

A jet turbine engine under inspection lighting on a test stand, evoking aerospace certification.

Certification Is the Signal, Not the Order Book

GE Aerospace's dual FAA/EASA certifications and Vertical Aerospace's conditional pre-orders show why regulated buyers must separate airworthiness proof from commercial narrative.

A pilot in a cockpit views a holographic projection of an autonomous wingman aircraft on the heads-up display.

Certifying the Pilot, Not Just the Plane

Trainer aircraft are teaching pilots to fly alongside autonomous wingmen, but no certification standard yet defines competency in human-autonomy teaming.

Silhouette of a pilot in a dimly lit cockpit with an abstract glow of light suggesting an AI system overlaying the instruments.

Pilots Are Flying With AI Already. Nobody Has Agreed How to Check It.

FAA and EASA acknowledge aviation lacks a settled method to assure AI safety in cockpit systems, leaving airlines and OEMs to build evidence without a fixed target.

A robotic arm inspecting an aerospace turbine component under controlled lighting, symbolizing automated verification of engineering evidence.

The Real Aerospace AI Bottleneck Is Evidence, Not Investment

Aerospace AI certification will be won by vendors who can automate verification evidence, not by whoever raises the most capital.

Close-up photograph of an aircraft wing leading edge with ice crystals forming in flight, set against a pale grey sky

EASA's Icing Warning Is an AI Validation Problem, Not Just a Weather One

EASA's admission that atmospheric icing remains insufficiently understood exposes a hidden validation gap for AI-enabled ice detection and anti-icing systems.

An aircraft wing edge coated in frost passing through icy cloud at altitude.

The Icing Gap: What EASA's Admission Means for AI-Based Hazard Detection

EASA's warning that atmospheric icing remains poorly understood exposes a governance blind spot for AI systems built to detect and predict physical hazards.

An aircraft silhouette above layered abstract risk grids symbolizing insurance underwriting for AI in aviation

The Underwriters Are Becoming the Real AI Certifiers

As aviation AI outpaces formal safety assurance, insurers are quietly setting the terms buyers must satisfy to fly.

A technician works on an open aircraft engine in a dimly lit hangar, illustrating AI's growing role in maintenance operations away from the cockpit.

The Real AI Governance Gap Sits Behind the Flight Deck

AI is spreading into MRO records, ground operations, and flight planning faster than certification frameworks can follow, and the risk is accumulating off-camera.

A technician inspects a jet engine turbine blade with a borescope in an engine MRO facility.

Who Signs the Maintenance Log When AI Wrote the Recommendation

As engine MRO providers adopt AI decision support, liability for AI-informed maintenance calls remains unallocated between vendor, MRO, and insurer.

A delivery drone and a jet aircraft cast overlapping shadows on a runway at dusk, connected by a thin line of light.

The Certification Evidence Trail Is Aerospace's Real Autonomy Constraint

Regulators keep reopening the evidentiary file on aircraft long after certification, a pattern that should worry anyone betting on fast autonomy approvals.

An aircraft wing test model transitioning from physical metal into a field of abstract data particles, symbolizing simulation giving way to AI surrogate modeling.

When the Simulation Becomes the Surrogate: Aerospace Certification Meets Statistical Models

Aerospace engineering teams are swapping physics-based simulation for AI surrogates in compliance workflows, and airworthiness certification has no settled answer for auditing that substitution.

Airflow particles around a wing form, transitioning from detailed physical simulation to abstract data patterns.

When AI Simulation Becomes Certification Evidence

Aerospace and industrial manufacturers are swapping physics simulation for AI surrogate models, and certification frameworks have not caught up.

A technician working at a hardware-in-the-loop avionics test bench surrounded by instrumentation and wiring harnesses.

When the Test Tool Itself Needs a Certificate

AI is moving into avionics test benches, and DO-330 tool qualification rules were never built for nondeterministic outputs.

A technical aerospace drawing half hand-drafted and half generated by holographic AI, with an unsigned signature block.

Who Signs the Drawing When the Engineer Is an Agent

Agentic AI is entering aerospace design work, and no framework yet defines who holds design authority when an AI agent authors engineering artifacts.