Engineering Standards And Compliance

McKinsey & Company 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝗱 𝟭𝟱𝟬+ 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗚𝗲𝗻𝗔𝗜 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 — 𝗮𝗻𝗱 𝗳𝗼𝘂𝗻𝗱 𝗼𝗻𝗲 𝗰𝗼𝗺𝗺𝗼𝗻 𝘁𝗵𝗿𝗲𝗮𝗱: ⬇️ One-off solutions don’t scale. The most successful projects take a different path: They use open, modular architectures that enable speed, reuse, and control. → Designed for reuse → Able to plug in best-in-class capabilities → Free from vendor lock-in This is the reference architecture McKinsey now recommends — optimized to scale what works while staying compliant. It consists of five core components: ⬇️ 𝟭. 𝗦𝗲𝗹𝗳-𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗽𝗼𝗿𝘁𝗮𝗹: → A secure, compliant “pane of glass” where teams can launch, monitor, and manage GenAI apps. → Preapproved patterns, validated capabilities, shared libraries. → Observability and cost controls built-in. 𝟮. 𝗢𝗽𝗲𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 → Services are modular, reusable, and provider-agnostic. → Core functions like RAG, chunking, or prompt routing are shared across apps. → Infra and policy as code, built to evolve fast. 𝟯. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 → Every prompt and response is logged, audited, and cost-attributed. → Hallucination detection, PII filters, bias audits — enforced by default. → LLMs accessed only through a centralized AI gateway. 4. 𝗙𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗼𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 → Centralized logging, analytics, and monitoring across all solutions → Built-in lifecycle governance, FinOps, and Responsible AI enforcement → Secure onboarding of use cases and private data controls → Enables policy adherence across infrastructure, models, and apps 5. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 → Modular setup for user interface, business logic, and orchestration → Integrated agents, prompt engineering, and model APIs → Guardrails, feedback systems, and observability built into the solution → Delivered through the AI Gateway for consistent compliance and scale The message is clear: If your GenAI program is stuck, don’t look at the LLM. Look at your platform. 𝗜 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲𝘀𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀 — 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 — 𝗶𝗻 𝗺𝘆 𝘄𝗲𝗲𝗸𝗹𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿. 𝗬𝗼𝘂 𝗰𝗮𝗻 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲 𝗳𝗼𝗿 𝗳𝗿𝗲𝗲: https://lnkd.in/dbf74Y9E

Stop building RAG like it's 2023. We all know the basic recipe: Chunk → Embed → Retrieve → Generate. It works great… until it doesn't. The moment you go from weekend prototype to enterprise production, that simple pipeline falls apart. I mapped out what a truly Robust RAG System actually looks like under the hood. Here's what most teams are missing: ━━━━━━━━━━━━━━━━━━━━━━━ 𝟭. 𝗤𝘂𝗲𝗿𝘆 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 ≠ 𝗝𝘂𝘀𝘁 𝗩𝗲𝗰𝘁𝗼𝗿 𝗦𝗲𝗮𝗿𝗰𝗵 Real queries need multiple backends: ↳ Graph DBs for relationship-heavy questions ↳ SQL for structured/numerical data ↳ Vector search for semantic meaning One retrieval path can't handle all three. 𝟮. 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗥𝗼𝘂𝘁𝗶𝗻𝗴 Before you even retrieve, you need to decide: ↳ Semantic route or logical route? ↳ Single-hop or multi-hop? ↳ Which data source to hit first? This one decision layer saves you from 80% of bad retrievals. 𝟯. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗜𝗻𝗱𝗲𝘅𝗶𝗻𝗴 If you're still doing naive chunking, you're leaving accuracy on the table. ↳ RAPTOR → recursive abstractive processing for hierarchical understanding ↳ ColBERT → token-level semantic matching for precision retrieval ↳ Multi-representation indexing → different views of the same data 𝟰. 𝗧𝗵𝗲 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗟𝗼𝗼𝗽 (𝗡𝗼𝗻-𝗡𝗲𝗴𝗼𝘁𝗶𝗮𝗯𝗹𝗲) You can't improve what you can't measure. ↳ Ragas for end-to-end RAG evaluation ↳ DeepEval for component-level testing ↳ Continuous monitoring, not one-time benchmarks ━━━━━━━━━━━━━━━━━━━━━━━ Here's the hard truth: RAG isn't a feature anymore. It's a full engineering system. And the teams treating it like a quick integration are the ones wondering why their AI "hallucinates." The gap between a demo and production RAG? It's these 4 layers.

When rigidity becomes the secret to agility: the Standardization Paradox Most leaders think standardization kills agility. Levi Strauss & Co.’s proved the opposite this week at #SAPSapphire 2026. I was impressed. Jason Gowans, CTO at Levi's, shared that the company now has more than 1,000 AI agents deployed across the company. That number is impressive. But it is not the real lesson. The real lesson is what had to change before the agents could scale. Levi’s is a global business. Different markets. Different habits. Different ways of working. And this creates a familiar leadership debate. Should we standardize, or should we let local teams stay flexible? Most companies choose a messy compromise. A bit of global control. A bit of local freedom. And a lot of invisible complexity. That model worked when humans were the glue. Humans could interpret exceptions. They could translate between systems. They could remember the undocumented rule. They could ask the person in another country how things “really work.” But AI agents change the equation. Agents cannot scale on tribal knowledge. They cannot guess every local exception. They cannot orchestrate a business where every market speaks a different operational language. This is the counterintuitive part. In the age of AI agents, standardization is not about control. It is about making the business legible. That is why standardization becomes a speed strategy. Levi’s gave a great example. Some wholesale orders used to take 2 to 5 days to process because they came through PDFs, emails, and Excel files, with long lists of sizes, colors, and styles. Now, with AI agents built on top of SAP, the same work can take 20 to 30 minutes. This is the kind of shift SAP is helping companies make: moving from fragmented work to AI-powered execution at scale: https://lnkd.in/eWajp4YB⁠ The company had to make work understandable enough for agents to execute it. That is the shift. And that is the only way to become an autonomous company. Where do you think your company is losing the most speed today: too much chaos, too many exceptions, or too little standardization? #SAPAmbassador #SAP #AI #AgenticAI #Leadership #DigitalTransformation #AutonomousEnterprise

Even when you do create healthy, vibrant skin with the right diet, you’ll probably use moisturizers, cleansers, makeup, and other cosmetics to maintain it.⁣⁣
⁣⁣
 Unfortunately, I’ve found that many patients undo their efforts toward healthy skin and the many other benefits they get from the right diet when they choose poor-quality skincare products. The average woman uses about 12 beauty products, and within many of them lurk thousands of toxic chemicals.⁣⁣
⁣⁣Those chemicals include parabens, phthalates, synthetic colors, formaldehyde, fragrances, and propylene glycol to help them look and smell nice, in addition to preserving their shelf life.⁣⁣
 But what increases cosmetics’ shelf life could be shortening yours.⁣⁣
⁣⁣
 Whereas the European Union banned over 1,300 chemicals found in cosmetics, the United States has banned – are you ready for this – just eight. That means the average skincare product you buy contains many ingredients that wreak havoc on your body. Many anti-wrinkle creams, for instance, contain toxins that prematurely age your skin by increasing free radical damage and disrupting hormones.⁣⁣
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These and other products also trigger or exacerbate an array of problems, including allergies, and can even act as irritants and carcinogens.⁣⁣
⁣⁣
 It’s crazy that manufacturers promise these (sometimes very expensive) cosmetics will improve your skin, but they can actually make it worse!⁣⁣
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Nobody’s holding these companies responsible, either. According to the Environmental Working Group (EWG), the Food and Drug Administration (FDA) does not require testing or other approval processes for beauty products.⁣⁣
⁣⁣Cosmetic companies are also not required to list toxic and allergenic ingredients on labels. Legitimate-sounding terms like “hypoallergenic” or “Dermatologist Tested” are often just marketing terms. Even products labeled “organic” or “natural” can contain chemicals, and those certified organic products might contain only 10 percent organic ingredients.⁣⁣
⁣⁣
 Check the labels of the products you’re using on your skin. You can always reference this list from EWG.org for which chemicals to avoid.⁣

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

The European standard-setters’ decision to suspend their consensus process on the EU AI Act’s standards is rippling beyond Europe. Last week, the ISO/IEC joint AI committee, SC 42, rejected requests to start parallel development for two CEN-led AI standards on computer vision and natural language processing. The US delegation led the opposition, arguing that CEN could no longer be trusted to lead the process. Parallel development is a key mechanism that allows European and international standardization bodies to work together efficiently and maintain global alignment. Its rejection could have significant consequences, especially as the European Commission prepares to transform its code of practice for general-purpose AI models into formal technical standards. In short, a move intended to speed up the completion of delayed AI standards is instead creating new obstacles, deepening internal divisions and straining Europe’s international standardization ties.

𝐓𝐡𝐞 𝐚𝐫𝐭 𝐨𝐟 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐢𝐧 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐰𝐞𝐥𝐝𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐣𝐨𝐢𝐧𝐢𝐧𝐠 𝐦𝐞𝐭𝐚𝐥, 𝐢𝐭 𝐢𝐬 𝐚𝐛𝐨𝐮𝐭 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐞𝐝 𝐟𝐚𝐛𝐫𝐢𝐜𝐚𝐭𝐢𝐨𝐧, 𝐦𝐞𝐭𝐚𝐥𝐥𝐮𝐫𝐠𝐢𝐜𝐚𝐥 𝐢𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧. ⚙️🔥 From an expert welding and fabrication perspective, the demonstration reflects a high-control repair and alignment sequence applied in structural and heavy-duty fabrication environments where strength, accuracy, and defect rectification are critical. The intervention demonstrates how disciplined welding methodology ensures both geometric correction and long-term load performance under demanding service conditions. 📌 𝐅𝐚𝐛𝐫𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐮𝐫𝐟𝐚𝐜𝐞 𝐏𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧: ✓. Base metal cleaning and oxide removal. ✓. Edge preparation and fit-up accuracy. ✓. Alignment verification prior to welding. ✓. Joint geometry stabilization. 📌 𝐓𝐚𝐜𝐤 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 & 𝐒𝐞𝐪𝐮𝐞𝐧𝐜𝐢𝐧𝐠 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: ✓. Controlled tack placement strategy. ✓. Distortion minimization through restraint. ✓. Sequential locking of components. ✓. Stress distribution balance during setup. 📌 𝐌𝐚𝐢𝐧 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 & 𝐃𝐞𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞: ✓. Multi-pass welding execution (SMAW/MIG/TIG). ✓. Controlled heat input management. ✓. Stable arc and penetration consistency. ✓. Interpass temperature regulation. 📌 𝐃𝐢𝐬𝐭𝐨𝐫𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: ✓. Back-step / skip welding application. ✓. Mechanical restraint using clamps/jigs. ✓. Controlled thermal shrinkage balance. ✓. Dimensional accuracy retention during welding. 📌 𝐏𝐨𝐬𝐭-𝐖𝐞𝐥𝐝 𝐅𝐢𝐧𝐢𝐬𝐡𝐢𝐧𝐠 & 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧: ✓. Slag removal and surface cleaning. ✓. Grinding for profile continuity. ✓. Visual inspection of weld bead integrity. ✓. NDT readiness (DPT/UT as per code). 📌 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐎𝐮𝐭𝐜𝐨𝐦𝐞: ✓. Restored structural alignment and strength. ✓. Enhanced joint durability under load. ✓. Precision fabrication compliance achieved. ✓. Welding discipline ensuring long-term performance.

𝗦𝘁𝗮𝘁𝗶𝗰 𝗘𝗹𝗲𝗰𝘁𝗿𝗶𝗰𝗶𝘁𝘆: 𝗛𝗮𝘇𝗮𝗿𝗱𝘀 𝗮𝗻𝗱 𝗣𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻 When loading or “uploading” (filling) an open-lid drum with flammable material, 𝗲𝗹𝗲𝗰𝘁𝗿𝗼𝘀𝘁𝗮𝘁𝗶𝗰 𝗱𝗶𝘀𝗰𝗵𝗮𝗿𝗴𝗲 (𝗘𝗦𝗗) is a critical hazard because it can provide the exact ignition source needed to trigger a fire or explosion in the presence of flammable vapors. 𝗪𝗵𝘆 𝗦𝘁𝗮𝘁𝗶𝗰 𝗶𝘀 𝗮 𝗧𝗵𝗿𝗲𝗮𝘁? Static sparks are often 𝗶𝗻𝘃𝗶𝘀𝗶𝗯𝗹𝗲 and 𝗨𝗻𝗳𝗼𝗿𝗲𝘀𝗲𝗲𝗻, and can occur between a charged liquid and the container wall (see video). When the operator pours liquid from the top (splash filling), it creates (1) turbulence and (2) mist, which significantly (1) increase static buildup and (2) create an explosive atmosphere inside the drum, respectively. 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗦𝗮𝗳𝗲𝘁𝘆 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝘀: • Bonding: Connect the dip pipe and the receiving drum to equalize their electrical potential and prevent sparks between them. • Grounding: Connect them to a verified earth ground to drain accumulated static charges safely to the earth. 𝑁𝑜𝑡𝑒𝑠: 𝐸𝑛𝑠𝑢𝑟𝑒 𝑐𝑙𝑎𝑚𝑝𝑠 𝑝𝑖𝑒𝑟𝑐𝑒 𝑡ℎ𝑟𝑜𝑢𝑔ℎ 𝑝𝑎𝑖𝑛𝑡, 𝑟𝑢𝑠𝑡, 𝑜𝑟 𝑑𝑖𝑟𝑡 𝑡𝑜 𝑎𝑐ℎ𝑖𝑒𝑣𝑒 𝑎 𝑠𝑒𝑐𝑢𝑟𝑒, 𝑙𝑜𝑤-𝑟𝑒𝑠𝑖𝑠𝑡𝑎𝑛𝑐𝑒 𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑖𝑜𝑛. • Bottom Filling: the dip pipe should extend to the bottom of the drum to avoid splash filling. • Relaxation Time: After filling, wait at least 30 seconds before removing any metal dip rods to allow charges to dissipate. • Anti-Static Gear: Wear cotton clothing and static-dissipative shoes; avoid synthetic fabrics which generate high static charges. • Ventilation: Always perform transfers in well-ventilated areas or under a fume hood to prevent vapor buildup. For further guidance, consult the 𝗡𝗙𝗣𝗔 𝟳𝟳 𝗥𝗣 on Static Electricity or 𝗢𝗦𝗛𝗔 𝟭𝟵𝟭𝟬.𝟭𝟬𝟲 Flammable Liquids standards. ... #ProcessSafety #StaticElectricity #NFPA77 #OSHA1910 #FlammableLiquids #IndustrialSafety #HSE #RiskManagement #HazardControl #FirePrevention #OperationalExcellence ... Join Our Safe Process Community 🌿 𝗢𝗻 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 https://t.me/safeprocess 𝗢𝗻 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 https://lnkd.in/eYDZp5_q 𝗢𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 https://lnkd.in/enedbJjD

Offshore platform jacket installation is a key marine construction activity in fixed offshore oil and gas developments. The jacket is the primary structural foundation that supports the topsides and transfers operational and environmental loads safely to the seabed. Proper installation is essential to ensure long-term stability, safety, and structural integrity of the offshore facility. Jacket Structure and Function A jacket is a steel tubular space-frame structure designed for shallow to medium water depths. It supports drilling, production, and processing facilities while resisting wave, wind, current, and seismic loads. Jackets are commonly used in offshore regions such as the Middle East, Gulf of Mexico, and North Sea, with typical design lives of 30–50 years. Fabrication and Transportation Jackets are fabricated onshore in specialized yards and transported offshore on flat-top barges or heavy transport vessels. Sea fastening systems are installed to secure the structure during transit. Transportation planning accounts for weather conditions, vessel stability, and structural integrity. Positioning and Installation Preparation At the offshore site, the installation vessel or barge is accurately positioned using GPS-based navigation, anchoring systems, or dynamic positioning. Pre-installation activities include seabed verification, orientation checks, rigging installation, and alignment confirmation with field layout and future topside structures. Jacket Launching and Upending The jacket is transferred to the water either by controlled launching from the barge or by heavy-lift crane operations. Buoyancy and ballasting systems are used to control stability during upending, where the jacket is rotated from horizontal to vertical orientation. The structure is then carefully lowered onto the seabed at the designated location. Seabed Setting and Piling Once placed on the seabed, the jacket is levelled using mud mats or temporary supports. Steel piles are driven through the jacket legs into the seabed using hydraulic or diesel hammers. The annulus between piles and legs is grouted to achieve permanent fixation and effective load transfer. Post-Installation Activities After pile installation and grouting, inspections are carried out using divers or ROVs. Temporary installation aids are removed, and the jacket is prepared for topside installation. At this stage, the offshore foundation is fully secured. Conclusion Offshore jacket installation is a complex, high-risk engineering operation requiring precise planning, robust structural design, and coordinated marine execution. A properly installed jacket provides a stable and durable foundation for offshore platforms, enabling safe and reliable hydrocarbon production over decades.

The Pentagon just dropped a bombshell for the defense industrial base: CMMC compliance is now MANDATORY for all DoD contractors starting November 9, 2025. No compliance = No contracts. Period. What this means for the 220,000+ companies in the defense supply chain: • Level 1: Annual self-assessment (basic cyber hygiene) • Level 2: Third-party audits for most contractors • Level 3: Government-led assessments for critical suppliers The talent implications are massive: For Cybersecurity Professionals: • CMMC assessors/auditors will be in HIGH demand • GRC analysts with CMMC expertise = golden tickets • Security engineers who understand NIST 800-171 are about to see their value skyrocket • Time to add "CMMC implementation" to your LinkedIn skills For Defense Contractors: • You have 60 days to get compliant or lose eligibility • That consultant you've been putting off hiring? Time to make the call • Internal teams need training NOW, not later My take: This isn't just compliance theater. With China targeting our defense supply chain and contractors handling CUI (Controlled Unclassified Information), this was overdue. Companies scrambling for compliance = surge in cybersecurity hiring. If you've been waiting for the right time to transition into defense sector cybersecurity, this is it. Already seeing job postings requiring CMMC expertise triple in the last week. The smart money is getting certified and positioned NOW. Who else sees this creating a massive talent shortage in Q4? #CMMC #Cybersecurity #DefenseIndustry #DoD #GRC #CybersecurityJobs #DefenseContractors #Compliance