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September 4, 2024

What you need to know about FAA Security Protection Regulations 2024

This blog gives an overview of the proposed FAA regulations for safeguarding aviation systems and their cyber-physical networks. Read more to discover key points, challenges, and potential solutions for each use case.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Daniel Simonds
Director of Operational Technology
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04
Sep 2024

Overview of FAA Rules 2024

Objective

The goal of the Federal Aviation Administration amended rules is to create new design standards that protect airplane systems from intentional unauthorized electronic interactions (IUEI), which can pose safety risks. The timely motivation for this goal is due to the ongoing trend in aircraft design, which features a growing integration of airplane, engine, and propeller systems, along with expanded connectivity to both internal and external data networks and services.

“This proposed rulemaking would impose new design standards to address cybersecurity threats for transport category airplanes, engines, and propellers. The intended effect of this proposed action is to standardize the FAA’s criteria for addressing cybersecurity threats, reducing certification costs and time while maintaining the same level of safety provided by current special conditions.” (1)

Background

Increasing integration of aircraft systems with internal and external networks raises cybersecurity vulnerability concerns.

Key vulnerabilities include:  

  • Field Loadable Software
  • Maintenance laptops
  • Public networks (e.g., Internet)
  • Wireless sensors
  • USB devices
  • Satellite communications
  • Portable devices and flight bags  

Requirements for Applicants

Applicants seeking design approval must:

  • Provide isolation or protection from unauthorized access
  • Prevent inadvertent or malicious changes to aircraft systems
  • Establish procedures to maintain cybersecurity protections

Purpose

“These changes would introduce type certification and continued airworthiness requirements to protect the equipment, systems, and networks of transport category airplanes, engines, and propellers against intentional unauthorized electronic interactions (IUEI)1 that could create safety hazards. Design approval applicants would be required to identify, assess, and mitigate such hazards, and develop Instructions for Continued Airworthiness (ICA) that would ensure such protections continue in service.” (1)

Key points:

  • Introduce new design standards to address cybersecurity threats for transport category airplanes, engines, and propellers.
  • Aim to reduce certification costs and time while maintaining safety levels similar to current special conditions

Applicant Responsibilities for Identifying, Assessing, and Mitigating IUEI Risks

The proposed rule requires applicants to safeguard airplanes, engines, and propellers from intentional unauthorized electronic interactions (IUEI). To do this, they must:

  1. Identify and assess risks: Find and evaluate any potential electronic threats that could harm safety.
  2. Mitigate risks: Take steps to prevent these threats from causing problems, ensuring the aircraft remain safe and functional.

Let’s break down each of the requirements:

Performing risk analysis

“For such identification and assessment of security risk, the applicant would be required to perform a security risk analysis to identify all threat conditions associated with the system, architecture, and external or internal interfaces.”(3)

Challenge

The complexity and variety of OT devices make it difficult and time-consuming to identify and associate CVEs with assets. Security teams face several challenges:

  • Prioritization Issues: Sifting through extensive CVE lists to prioritize efforts is a struggle.
  • Patch Complications: Finding corresponding patches is complicated by manufacturer delays and design flaws.
  • Operational Constraints: Limited maintenance windows and the need for continuous operations make it hard to address vulnerabilities, often leaving them unresolved for years.
  • Inadequate Assessments: Standard CVE assessments may not fully capture the risks associated with increased connectivity, underscoring the need for a contextualized risk assessment approach.

This highlights the need for a more effective and tailored approach to managing vulnerabilities in OT environments.

Assessing severity of risks

“The FAA would expect such risk analysis to assess the severity of the effect of threat conditions on associated assets (system, architecture, etc.), consistent with the means of compliance the applicant has been using to meet the FAA’s special conditions on this topic.” (3)

Challenge

As shown by the MITRE ATT&CK® Techniques for ICS matrices, threat actors can exploit many avenues beyond just CVEs. To effectively defend against these threats, security teams need a broader perspective, considering lateral movement and multi-stage attacks.

Challenges in Vulnerability Management (VM) cycles include:

  • Initiation: VM cycles often start with email updates from the Cybersecurity and Infrastructure Security Agency (CISA), listing new CVEs from the NIST database.
  • Communication: Security practitioners must survey and forward CVE lists to networking teams at facilities that might be running the affected assets. Responses from these teams are inconsistent, leading vulnerability managers to push patches that may not fit within limited maintenance windows.
  • Asset Tracking: At many OT locations, determining if a company is running a specific firmware version can be extremely time-consuming. Teams often rely on spreadsheets and must perform manual checks by physically visiting production floors ("sneaker-netting").
  • Coordination: Plant engineers and centralized security teams must exchange information to validate asset details and manually score vulnerabilities, further complicating and delaying remediation efforts.

Determine likelihood of exploitation

“Such assessment would also need to analyze these vulnerabilities for the likelihood of exploitation.” (3)

Challenge

Even when a vulnerability is identified, its actual impact can vary significantly based on the specific configurations, processes, and technologies in use within the organization. This creates challenges for OT security practitioners:

  • Risk Assessment: Accurately assessing and prioritizing the risk becomes difficult without a clear understanding of how the vulnerability affects their unique systems.
  • Decision-Making: Practitioners may struggle to determine whether immediate action is necessary, balancing the risk of operational downtime against the need for security.
  • Potential Consequences: This uncertainty can lead to either leaving critical systems exposed or causing unnecessary disruptions by applying measures that aren't truly needed.

This complexity underscores the challenge of making informed, timely decisions in OT security environments.

Vulnerability mitigation

“The proposed regulation would then require each applicant to 'mitigate' the vulnerabilities, and the FAA expects such mitigation would occur through the applicant’s installation of single or multilayered protection mechanisms or process controls to ensure functional integrity, i.e., protection.” (3)

Challenge

OT security practitioners face a constant challenge in balancing security needs with the requirement to maintain operational uptime. In many OT environments, especially in critical infrastructure, applying security patches can be risky:

  • Risk of Downtime: Patching can disrupt essential processes, leading to significant financial losses or even safety hazards.
  • Operational Continuity vs. Security: Practitioners often prioritize operational continuity, sometimes delaying timely security updates.
  • Alternative Strategies: To protect systems without direct patching, they must implement compensating controls, further complicating security efforts.

This delicate balance between security and uptime adds complexity to the already challenging task of securing OT environments.

Establishing procedures/playbooks

“Finally, each applicant would be required to include the procedures within their instructions for continued airworthiness necessary to maintain such protections.” (3)

Challenge

SOC teams typically have a lag before their response, leading to a higher dwell time and bigger overall costs. On average, only 15% of the total cost of ransomware is affiliated with the ransom itself (2). The rest is cost from business interruption. This means it's crucial that organizations can respond and recover earlier. 

Darktrace / OT enabling compliance and enhanced cybersecurity

Darktrace's OT solution addresses the complex challenges of cybersecurity compliance in Operational Technology (OT) environments by offering a comprehensive approach to risk management and mitigation.

Key risk management features include:

  • Contextualized Risk Analysis: Darktrace goes beyond traditional vulnerability scoring, integrating IT, OT, and CVE data with MITRE techniques to map critical attack paths. This helps in identifying and prioritizing vulnerabilities based on their exposure, difficulty of exploitation, and network impact.
  • Guidance on Remediation: When patches are unavailable, Darktrace provides alternative strategies to bolster defenses around vulnerable assets, ensuring unpatched systems are not left exposed—a critical need in OT environments where operational continuity is essential.
  • AI-Driven Adaptability: Darktrace's AI continuously adapts to your organization as it grows; refining incident response playbooks bespoke to your environment in real-time. This ensures that security teams have the most up-to-date, tailored strategies, reducing response times and minimizing the impact of security incidents.

Ready to learn more?  

Darktrace / OT doesn’t just offer risk management capabilities. It is the only solution  
that leverages Self-Learning AI to understand your normal business operations, allowing you to detect and stop insider, known, unknown, and zero-day threats at scale.  

Dive deeper into how Darktrace / OT secures critical infrastructure organizations with in-depth insights on its advanced capabilities. Download the Darktrace / OT Solution Brief to explore the technology behind its AI-driven protection and see how it can transform your OT security strategy.

Curious about how Darktrace / OT enhances aviation security? Explore our customer story on Brisbane Airport to see how our solution is transforming security operations in the aviation sector.  

References

  1. https://research-information.bris.ac.uk/ws/portalfiles/portal/313646831/Catch_Me_if_You_Can.pdf
  1. https://www.bleepingcomputer.com/news/security/ransom-payment-is-roughly-15-percent-of-the-total-cost-of-ransomware-attacks/
  1. https://public-inspection.federalregister.gov/2024-17916.pdf?mod=djemCybersecruityPro&tpl=cs
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Daniel Simonds
Director of Operational Technology

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April 17, 2026

中国系サイバー作戦の進化 - それはサイバーリスクおよびレジリエンスにとって何を意味するか

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サイバーセキュリティにおいては、これまではインシデント、侵害、キャンペーン、そして脅威グループを中心にリスクを整理してきました。これらの要素は現在も重要です -しかし個別のインシデントにとらわれていては、エコシステム全体の形成を見逃してしまう危険があります。国家が支援する攻撃者グループは、個別の攻撃を実行したり短期的な目標を達成したりするためだけではなく、サイバー作戦を長期的な戦略上の影響力を構築するために使用するようになっています。  

当社の最新の調査レポート、Crimson Echoにおいてもこうした状況にあわせて視点を変えています。キャンペーンやマルウェアファミリー、あるいはアクターのラベルを個別のイベントとして分類するのではなく、ダークトレースの脅威調査チームは中国系グループのアクティビティを長期的に連続した行動として分析しました。このように視野を拡大することで、これらの攻撃者がさまざまな環境内でどのように存在しているか、すなわち、静かに、辛抱強く、持続的に、そして多くのケースにおいて識別可能な「インシデント」が発生するかなり前から下準備をしている様子が明らかになりました。  

中国系サイバー脅威のこれまでの変化

中国系サイバーアクティビティは過去20年間において4つのフェーズで進化してきたと言えます。初期の、ボリュームを重視したオペレーションは1990年代にから2000年代初めに見られ、それが2010年代にはより構造化された、戦略に沿った活動となり、そして現在の高度な適応性を備えた、アイデンティティを中心とした侵入へと進化しています。  

現在のフェーズの特徴は、大規模、攻撃の自制、そして永続化です。攻撃者はアクセスを確立し、その戦略的価値を評価し、維持します。これはより全体的な変化を反映したものです。つまりサイバー作戦は長期的な経済的および地政学的戦略に組み込まれる傾向が強まっているということです。デジタル環境へのアクセス、特に国家の重要インフラやサプライチェーン、先端テクノロジーにつながるものは、ある種の長期的な戦略的影響力と見られるようになりました。  

複雑な問題に対するダークトレースのビヘイビア分析アプローチ

国家が支援するサイバーアクティビティを分析する際、難しい問題の1つはアトリビューションです。従来のアプローチは多くの場合、特定の脅威グループ、マルウェアファミリー、あるいはインフラに判定を依存していました。しかしこれらは絶えず変化するものであり、さらに中国系オペレーションの場合、しばしば重複が見られます。

Crimson Echo は2022年7月から2025年9月の間の3年間にDarktrace運用環境で観測された異常なアクティビティを回顧的に分析した結果です。ビヘイビア検知、脅威ハンティング、オープンソースインテリジェンス、および構造化されたアトリビューションフレームワーク(Darktrace Cybersecurity Attribution Framework)を用いて、数十件の中~高確度の事例を特定し、繰り返し発生しているオペレーションのパターンを分析しました。  

この長期的視野を持ったビヘイビア中心型アプローチにより、ダークトレースは侵入がどのように展開していくかについての一定のパターンを特定することができ、動作のパターンが重要であることがあらためて確認されました。  

データが示していること

分析からいくつかの明確な傾向が浮かび上がりました:

  • 標的は戦略的に重要なセクターに集中していたのです。データセット全体で、侵入の88%は重要インフラと分類される、輸送、重要製造業、政府、医療、ITサービスを含む組織で発生しています。   
  • 戦略的に重要な西側経済圏が主な焦点です。米国だけで、観測されたケースの22.5%を占めており、ドイツ、イタリア、スペイン、および英国を含めた主要なヨーロッパの経済圏と合わせると侵入の半数以上(55%)がこれらの地域に集中しています。  
  • 侵入の63%近くがインターネットに接続されたシステムのエクスプロイトから始まっており、外部に露出したインフラの持続的リスクがあらためて浮き彫りになりました。  

サイバー作戦の2つのモデル

データセット全体で、中国系のアクティビティは2つの作戦モデルに従っていることが確認されました。  

1つ目は“スマッシュアンドグラブ”(強奪)型と表現することができます。これらはスピードのために最適化された短期型の侵入です。攻撃者はすばやく動き  – しばしば48時間以内にデータを抜き出し  – ステルス性よりも規模を重視します。これらの侵害の期間の中央値は10日ほどです。検知の危険を冒しても短期的利益を得ようとしていることが明らかです。  

2つ目は“ローアンドスロー”(低速)型です。これらのオペレーションはデータセット内ではあまり多くありませんでしたが、潜在的影響はより重大です。ここでは攻撃者は持続性を重視し、アイデンティティシステムや正規の管理ツールを通じて永続的なアクセスを確立し、数か月間、場合によっては数年にわたって検知されないままアクセスを維持しようとします。1つの注目すべきケースでは、脅威アクターは環境に完全に侵入して永続性を確立し、600日以上経ってからようやく再浮上した例もありました。このようなオペレーションの一時停止は侵入の深さと脅威アクターの長期的な戦略的意図の両方を表しています。このことはサイバーアクセスが長期にわたって保有し活用するべき戦略的資産であることを示しており、これは最も戦略的に重要なセクターにおいて最もよく見られたパターンです。  

同じ作戦エコシステムにおいて両方のモデルを並行して利用し、標的の価値、緊急性、意図するアクセスに基づいて適切なモデルを選択することも可能だという点に注意することも重要です。“スマッシュアンドグラブ” モデルが見られたからといって諜報活動が失敗したとのみ解釈すべきではなく、むしろ目標に沿った作戦上の選択かもしれないと見るべきでしょう。“ローアンドスロー” 型は粘り強い活動のために最適化され、“スマッシュアンドグラブ” 型はスピードのために最適化されています。どちらも意図的な作戦上の選択と見られ、必ずしも能力を表していません。  

サイバーリスクを再考する

多くの組織にとって、サイバーリスクはいまだに一連の個別のイベントとして位置づけられています。何かが発生し、検知され、封じ込められ、組織はそれを乗り越えて前に進みます。しかし永続的アクセスは、特にクラウド、アイデンティティベースのSaaSやエージェント型システム、そして複雑なサプライチェーンネットワークが相互接続された環境では、重大な持続的露出リスクを作り出します。システムの中断やデータの流出が発生していなくても、そのアクセスによって業務や依存関係、そして戦略的意思決定についての情報を得られるかもしれません。サイバーリスクはますます長期的な競合情報収集に似てきています。

その影響はSOCだけの問題ではありません。組織はガバナンス、可視性、レジリエンスについての考え方を見直し、サイバー露出をインシデント対応の問題ではなく構造的なビジネスリスクとして扱う必要があります。  

次の目標

この調査の目的は、これらの脅威の仕組みについてより明確な理解を提供することにより、防御者がより早期にこれらを識別しより効果的に対応できるようにすることです。これには、インジケーターの追跡からビヘイビアの理解にシフトすること、アイデンティティプロバイダーを重要インフラリスクとして扱うこと、サプライヤーの監視を拡大すること、迅速な封じ込めのための能力に投資すること、などが含まれます。  

ダークトレースの最新調査、”Crimson Echo: ビヘイビア分析を通じて中国系サイバー諜報技術を理解する” についてより詳しく知るには、ビジネスリーダー、CISO、SOCアナリストに向けたCrimson Echoレポートのエグゼクティブサマリーを ここからダウンロードしてください。 

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About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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April 17, 2026

Why Behavioral AI Is the Answer to Mythos

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How AI is breaking the patch-and-prevent security model

The business world was upended last week by the news that Anthropic has developed a powerful new AI model, Claude Mythos, which poses unprecedented risk because of its ability to expose flaws in IT systems.  

Whether it’s Mythos or OpenAI’s GPT-5.4-Cyber, which was just announced on Tuesday, supercharged AI models in the hands of hackers will allow them to carry out attacks at machine speed, much faster than most businesses can stop them.  

This news underscores a stark reality for all leaders: Patching holes alone is not a sufficient control against modern cyberattacks. You must assume that your software is already vulnerable right now. And while LLMs are very good at spotting vulnerabilities, they’re pretty bad at reliably patching them.

Project Glasswing members say it could take months or years for patches to be applied. While that work is done, enterprises must be protected against Zero-Day attacks, or security holes that are still undiscovered.  

Most cybersecurity strategies today are built like a daily multivitamin: broad, preventative, and designed to keep the system generally healthy over time. Patch regularly. Update software. Reduce known vulnerabilities. It’s necessary, disciplined, and foundational. But it’s also built for a world where the risks are well known and defined, cycles are predictable, and exposure unfolds at a manageable pace.

What happens when that model no longer holds?

The AI cyber advantage: Behavioral AI

The vulnerabilities exposed by AI systems like Mythos aren’t the well-understood risks your “multivitamin” was designed to address. They are transient, fast-emerging entry points that exist just long enough to be exploited.

In that environment, prevention alone isn’t enough. You don’t need more vitamins—you need a painkiller. The future of cybersecurity won’t be defined by how well you maintain baseline health. It will be defined by how quickly you respond when something breaks and every second counts.

That’s why behavioral AI gives businesses a durable cyber advantage. Rather than trying to figure out what the attacker looks like, it learns what “normal” looks like across the digital ecosystem of each individual business.  

That’s exactly how behavioral AI works. It understands the self, or what's normal for the organization, and then it can spot deviations in from normal that are actually early-stage attacks.

The Darktrace approach to cybersecurity

At Darktrace, we’ve been defending our 10,000 customers using behavioral AI cybersecurity developed in our AI Research Centre in Cambridge, U.K.

Darktrace was built on the understanding that attacks do not arrive neatly labeled, and that the most damaging threats often emerge before signatures, indicators, or public disclosures can catch up.  

Our AI algorithms learn in real time from your personalized business data to learn what’s normal for every person and every asset, and the flows of data within your organization. By continuously understanding “normal” across your entire digital ecosystem, Darktrace identifies and contains threats emerging from unknown vulnerabilities and compromised supply chain dependencies, autonomously curtailing attacks at machine speed.  

Security for novel threats

Darktrace is built for a world where AI is not just accelerating attacks, but fundamentally reshaping how they originate. What makes our AI so unique is that it's proven time and again to identify cyber threats before public vulnerability disclosures, such as critical Ivanti vulnerabilities in 2025 and SAP NetWeaver exploitations tied to nation-state threat actors.  

As AI reshapes how vulnerabilities are found and exploited, cybersecurity must be anchored in something more durable than a list of known flaws. It requires a real-time understanding of the business itself: what belongs, what does not, and what must be stopped immediately.

What leaders should do right now

The leadership priority must shift accordingly.

First, stop treating unknown vulnerabilities as an edge case. AI‑driven discovery makes them the norm. Security programs built primarily around known flaws, signatures, and threat intelligence will always lag behind an attacker that is operating in real time.

Second, insist on an understanding of what is actually normal across the business. When threats are novel, labels are useless. The earliest and most reliable signal of danger is abnormal behavior—systems, users, or data flows that suddenly depart from what is expected. If you cannot see that deviation as it happens, you are effectively blind during the most critical window.

Finally, assume that the next serious incident will occur before remediation guidance is available. Ask what happens in those first minutes and hours. The organizations that maintain resilience are not the ones waiting for disclosure cycles to catch up—they are the ones that can autonomously identify and contain emerging threats as they unfold.

This is the reality of cybersecurity in an AI‑shaped world. Patching and prevention remain important foundations, but the advantage now belongs to those who can respond instantly when the unpredictable occurs.

Behavioral AI is security designed not just for known threats, but for the ones that AI will discover next.

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About the author
Ed Jennings
President and CEO
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