Key B2B Trends in 2026: 12 Moves to Win Enterprise Demand

Executive Summary: Top 12 B2B Trends to Watch [2026]

1. AI Copilots & Agentic Workflows: 51% of firms are adopting tools like Microsoft 365 Copilot. These solutions deliver 30-45% higher productivity in customer care and up to 80% fewer errors in support. But many projects risk failure without clear ROI, cost control, and strong governance.
2. B2B Marketplaces & Verticalized eCommerce: Global B2B marketplaces sales hit USD 2.64 trillion in 2024, and cloud marketplaces are driving even faster adoption. They already account for 14.4% of US B2B e-commerce and cut procurement cycles by up to 67%.
3. Digital Self-Serve: 39% of B2B buyers are willing to spend over USD 500K online. And, digital channels drive 34% of revenue. However, buyers prefer rep-free journeys (61%), but still expect expert support for risk and legal closure.
4. RevOps Automation & Sales-Enablement: RevOps and sales enablement are converging to fix broken forecasting – but only 20% of orgs hit within ±5% accuracy.
5. Subscription & Usage-based Models: Subscription companies are growing 11% faster than the market. At the same time, real-time rails are growing at a 16.7% CAGR, and mobile approvals will cross USD 1 trillion by 2029.
6. Accounting-based Marketing (ABM 2.0): Shifts to first-party data and clean rooms, even after Google rolled back its cookie deprecation. With 64% of firms already using DCRs, they’ve become the backbone of privacy-safe targeting and measurement.
7. Omnichannel Buyer Enablement: B2B buying is complex, with 6-10 stakeholders and rising reliance on peer proof and reviews (77% check reviews, 54% talk to users). Winning sellers enable buyers across trusted channels.
8. Industry Cloud Platforms (ICPs) & Vertical AI Stacks: ICP adoption is expected to hit 70% by 2027 as firms shift from infrastructure to industry-specific outcomes. Providers like Salesforce lead with sector-ready data models and workflows.
9. Supply Chain Risk Intelligence & Nearshoring Economics: Red Sea reroutes cut Asia-Europe capacity by 15-20%, while global trade growth fell to 1.8% in 2025. At the same time, nearshoring is accelerating: Mexico became the US’s top trading partner and attracted USD 21 billion foreign direct investment (FDI) in Q1 2025.
10. Ambient/Edge Intelligence & IoT Telemetry: Enterprises are pushing analytics to the edge to cut latency and costs, with edge spend reaching USD 261 billion in 2025 and IoT devices hitting 19.8 billion.
11. AI Governance, Trust, and Disinformation Security: The EU AI Act (in force 2025-27) imposes fines up to EUR 35 million or 7% of global sales. This sets a strict bar for governance. At the same time, AI-driven fraud and deepfakes are surging, highlighted by a USD 25 million video-conference heist.
12. Zero-Trust & Software Supply Chain Security: Regulations like the EU Cyber Resilience Act (2024-27) and US CISA attestation (2024) are making secure-by-design and provenance mandatory. Yet 48% of leaders admit lagging on SBOM standards.

How We Researched and Where this Data is from

• Analyzed our 3100+ industry reports on innovations to gather relevant insights and create a master technology-industry matrix.
• Cross-checked this information with external sources for accuracy.
• Leveraged the StartUs Insights Discovery Platform, an AI and Big Data-powered innovation intelligence platform covering 9M+ emerging companies and over 20K+ technology trends worldwide, & FoxiAI, our AI innovation research assistant, to:
  • Confirm our findings using the trend analysis tool and
  • Find emerging tech companies and technologies.

So, let’s look into the top 12 business-to-business trends to watch in 2026 and beyond and see how they impact every industry, big or small.

1. AI Copilots & Agentic Workflows in the Core Stack

Although AI has progressed from assistive prompts to semi-autonomous execution in supply chain, financial operations, and service, there is still a big disconnect between pilots and P&L impact.

Although just about 11% of businesses used genAI at scale as of 2024, McKinsey expects that genAI will increase customer care productivity by 30-45%. This shows that value depends on disciplined deployment rather than demos.

At the same time, copilot utilization in enterprises is growing. For instance, Forrester reports 51% of information workers say their firms are adopting Microsoft 365 Copilot and 51% adopting ChatGPT Enterprise.

Where there is telemetry and controls, agentic systems are growing rapidly.

Customer support, internal automation, and sales are the main use cases. Salesforce’s H1-2025 Agentic Enterprise Index shows 119% growth in agents created and ~80% MoM growth in actions completed across participating organizations.

In terms of results, open case studies demonstrate significant improvements when agents are linked to clear policies and clean data. For example, Vodafone Ireland realized up to a 20% increase in containment rates and 80% fewer misinterpreted statements after modernizing its assistant stack.

Even though Gartner anticipates a sharp increase in agentic features in enterprise software after 2027, it predicts that over 40% of agentic AI projects will be abandoned. This will be driven by escalating costs, unclear business value, and inadequate risk controls.

Although analysts note adoption friction and buyer decision weariness, several companies record high headline accuracy (e.g., 93% in Salesforce’s own service engagements). Pricing clarity, ROI proofs, and integration maturity continue to be purchase barriers.

KPIs & Target Ranges

• Containment rate: Raise by +10-20 pp in targeted queues. Verify with QA samples.
• Assisted handle-time delta: Target -20% to -30% for copilot-assisted tasks. Separate reading/writing time from system waits.
• Auto-approval rate with zero-incident streaks: Proportion of agent actions approved automatically after sustained quality. Lift gradually to >=30% in low-risk workflows.
• Production eval coverage: 100% of agent workflows gated by evals before autonomy is expanded.
• Adoption breadth: Grow active users/workflows month over month. Investigate stalls as possible “decision fatigue.”

2. B2B Marketplaces & Verticalized eCommerce

B2B marketplaces are the fastest-growing digital channel. For instance, B2B e-commerce sales are estimated to have expanded 16% by 2024 to USD 2.64 trillion.

According to Digital Commerce 360, marketplaces now make up around 14.4% of B2B e-commerce sales in the US and are expected to surpass distributor portals and brands by growing by about 35% last year.

Because hyperscaler cloud marketplaces (AWS, Azure, and Google Cloud) streamline procurement and reduce committed cloud investment, they are scaling even faster in the corporate software space.

As a result, marketplaces are evolving from a checkout option to a first-class channel as Canalys predicts sales of over USD 45 billion by 2025.

Tackle’s State of Cloud GTM Report indicates that sellers report larger deal sizes, faster cycles, and access to cloud budgets when transacting via marketplaces and co-sell programs.

A recent study commissioned by Forrester for AWS Marketplace also finds that buyers have 58% shorter pre-purchase times and 67% faster procurement cycles.

“AWS Marketplace improves the productivity of various teams because it provides a single pane of glass view into questions about our current vendors such as our contract terms and conditions and payment schedules. It provides us with financial controls because we know that every purchase has to go through a well-defined process centered around AWS Marketplace.”

– Cloud FinOps lead, online food delivery

Private Offers, Channel Partner Private Offers, and Private Marketplace are native programs that further reduce contractual friction. They standardize terms, integrate with Coupa/Ariba, and enable validated catalogs for regulated teams.

KPIs & Target Ranges

• Marketplace-sourced pipeline %: Share of new pipeline initiated or routed via marketplace or private offers; aim for 10-20% within 2-3 quarters in software/SaaS.
• Private-offer velocity (days to close): Median time from offer creation to acceptance; target −25-40% vs. direct deals as procurement standardization takes hold.
• Cloud-commit capture ($): Dollars transacted against a customer’s existing hyperscaler commit; set quarterly targets for top 50 accounts and track co-sell influence.
• Win rate vs. direct: Compare like-for-like ICP segments; parity or better signals the channel is accretive, not a discount sink.
• Onboarding cycle time (enterprise software): Listing live, SKUs approved, legal templates configured. Target first listing in <=60 days and first private offer in <=30 days thereafter.

3. Digital Self-Serve for Complex, Six-Figure Deals

According to McKinsey’s latest B2B Pulse Survey, reported by Digital Commerce 360, 39% of B2B buyers say they are willing to place orders over USD 500K using remote or self-serve channels, up from 28% two years ago. This implies that large digital purchases are becoming commonplace among enterprise buyers.

At the same time, a typical B2B company’s online sales today account for about 34% of total revenue. This makes digital channels a major source of income.

According to Gartner’s research, 77% of consumers regarded their most recent purchase as extremely complex or tough, and a typical buying group consists of 6-10 stakeholders.

Therefore, the winning motion is digital-first and sales-assisted at the appropriate times.

Moreover, 61% of B2B buyers prefer a rep-free experience, according to a July 2025 Gartner survey. However, they still anticipate professional help when the stakes or ambiguity increase.

It was also predicted that B2B e-commerce between manufacturers and distributors in the US will increase by 16% to USD 2.64 trillion in 2024, with direct digital channels and marketplaces seeing the strongest growth. When used with sales-assist, digital routes increase conversion on six-figure deals without inflating discounting.

KPIs & Target Ranges

• Trial → SQL conversion: Segment by enterprise vs. mid-market and by entry (pricing page, marketplace, invite). Aim for a 20-30% increase within two quarters after publishing artifacts and a guided sandbox.
• POC cycle time (request → decision): Break down by workstream (security, legal, integration). Target -25% to -40%; transparency typically yields the first 10-15% drop.
• Security review duration & “no-bespoke” rate: median time down ~30%. Keep bespoke asks <20% of deals – signals your pack answers residency/PII scopes.

4. RevOps Automation & Sales-Enablement Convergence

According to Xactly’s 2024 benchmark, forecast precision is still brittle as only 20% of sales organizations fall within ±5% of their prediction. This discrepancy leads to failed capacity planning and cash flow shocks.

However, enablement content continues to be under-leveraged because it is not integrated into the deal at the stage and account where it matters. Surveys routinely indicate that about 65% of developed assets are underused by sellers.

Even as portfolios begin to condense, the average organization still manages about 275 SaaS apps, and SaaS spending has increased to USD 49 million yearly (about USD 4830 per employee).

Representatives are deprived of selling time due to this bloat, which also affects data models in CRM, CPQ, PLG telemetry, and invoicing.

According to Gartner, revenue operations is an end-to-end approach that integrates people, processes, data, and technology throughout the customer lifecycle. Sales enablement is integrated into RevOps. This allows coaching, insights, and content to coexist with pipeline and forecasting.

The shift is also reflected in market signals. As buyers choose integrations that drive forecast hygiene, stage exit criteria, and in-workflow coaching over another standalone product, analysts predict that the sales-enablement platform market will grow at a 16.3% compounded annual growth rate (CAGR) till 2030.

KPIs & Target Ranges

• Forecast accuracy (within ±5%): Move from baseline toward >=35% of quarters hitting the band and use roll-ups tied to stage-based probabilities and deal inspection notes.
• Stage-age & pipeline health: Percentage of opportunities breaching age thresholds by stage. Target -20% to -30% breaches after exit criteria go live.
• Content-in-deal utilization: Share of opportunities where the prescribed asset (battlecard/ROI/security pack) was opened by seller and buyer. Lift by +15-25 pp after embedding.
• Tool count & cost: Total GTM apps and USD spend – aim to retire 10-20% of overlapping tools while improving data quality SLAs.

5. Subscription & Usage-based Models + Modern B2B Payments

To reduce friction, access new budgets, and enhance cash flow, leaders are combining real-time/virtual card payments with subscriptions and usage-based pricing (UBP).

The majority of vendors are shifting from flat seats to consumption-linked value, as evidenced by OpenView’s benchmark. It reveals that 15% of SaaS companies operate primarily on usage-based models, while another 46% utilize hybrid models.

Zuora’s 2025 Subscription Economy Index reports that subscription companies have 11% faster revenue growth than the overall market over the last two years. This highlights the tenacity of recurring revenue when combined with flexible monetization.

Rails on the payments side are also rapidly upgrading. ACI Worldwide’s 2024 global study projects that real-time payment volume will expand at a 16.7% CAGR (2023-2028) in 51 countries. Moreover, immediate payments are emerging as a leading B2B technique in important markets.

Further, Bank of America’s corporate CashPro app was estimated to exceed USD 1 trillion in payment approvals by the end of 2024, increasing approximately 25% year over year. This highlights the swift enterprise adoption of mobile approvals and straight-through processing.

As banks onboard corporate use cases, the FedNow service also keeps growing with hundreds of thousands of quarterly transactions. At the same time, India’s UPI shows what ubiquitous real-time rails may look like with 650 million+ daily transactions – useful as a directional baseline for treasury roadmaps.

Moreover, virtual cards are emerging as the mainstay for reconcilable, data-rich B2B spending in payables and supplier enablement. By 2029, B2B virtual card payments are expected to exceed USD 14.6 trillion, or 83% of the global virtual card industry.

KPIs & Target Ranges

• Revenue mix from usage-linked components: Aim for 10-20% of ARR in the pilot SKU within 2-3 quarters. Track correlation with product adoption.
• DSO / cash-conversion improvement from RTP & virtual cards: Target -10% to -20% DSO on cohorts offered instant rails and card settlement with enriched remittance.
• Payment success & reconciliation rate: Measure same-day settlement % and auto-reconciled invoices. Seek >=90% straight-through match on virtual-card payables.
• Billing accuracy for metered usage: Error rate <1% of invoices. Close usage windows daily/weekly with customer-visible meters to reduce disputes.

6. ABM 2.0: First-Party Data Collaboration & Clean Rooms

From list matching + ads to privacy-safe data collaboration that demonstrates incremental flow, account-based motions are changing.

Instead of going back to the previous state of affairs, leaders are re-platforming on first-party data and clean rooms, notwithstanding Google’s decision to rescind its plan to eliminate third-party cookies in Chrome (April-Jul 2025).

Google affirmed that it will continue to support Chrome’s current third-party cookie selection while working on the Privacy Sandbox. The rollback was reported by several outlets between April and July 2025.

The center of gravity of the industry has already changed. As the foundation of activation and measurement, IAB’s State of Data 2025 highlights a widespread shift to first-party data, alternative IDs, and data clean rooms.

According to IAB’s 2023 report, 64% of businesses implementing privacy-preserving technology utilize data clean rooms (DCRs). In the retail media sector, a 2025 poll revealed that roughly 66% of organizations use DCRs in some form.

However, clean rooms are a serious investment. According to the IAB’s 2023 poll, 62% of users spend at least USD 200K a year on DCR technology (and 23% spend more than USD 500K). It takes months to two years for the technology to be ready for production.

Many B2B companies choose a cloud-native clean room before thinking about custom stacks because of that cost profile.

KPIs & Target Ranges

• Match rate (hashed emails/IDs or firmographic keys): aim for 40-70% depending on region and data quality. Below that, prioritize identity hygiene before activation.
• Incremental reach / pipeline lift from partner overlap: target +10-25 pp lift vs. business-as-usual audiences for first two collaborations.
• Time-to-analysis (first query to audience export/report inside clean room): compress to <=2 weeks after legal approval to keep Sales engaged.

7. Omnichannel Buyer Enablement

Enterprise buying is a multi-step, media-rich process that consumers choose to handle on their own these days. According to Gartner, the average buying group includes six to ten stakeholders, and 77% of them say their most recent purchase was extremely complex or challenging.

As a result, the seller’s role is to minimize effort across channels that buyers already trust. This entails including in the journey the appropriate media (brief video, interactive demos), the appropriate social evidence (reviews, peers), and the appropriate proof.

Outside of owned assets, trust signals have changed. Well ahead of traditional analyst reports, 54% of software purchasers talk to an existing user before making a purchase, and 77% of buyers look at user reviews. There are significant gaps in consensus-building when creating enablement without these surfaces.

Moreover, the standard explanation layer is now video. 89% of firms use videos, and 95% of video marketers believe it is now essential to strategy. Marketers also claim high ROI from product walkthroughs and briefings.

With a 36% increase in YoY video views and a quick uptake of advertisers, LinkedIn increased creator-led, short-form video programming for B2B decision-makers in 2025. This suggests that buyers are shifting their focus to influencer-anchored channels.

In 2024, 51% of B2B stakeholders complained that vendor content was too generic, and 51% said that accessing it required too many steps. However, 72% of buyers share helpful content with colleagues, so when it is easy to consume and relevant, its influence is amplified.

KPIs & Target Ranges

• Multi-stakeholder reach: Percentage of opportunities with >=3 unique stakeholder engagements across channels. Target +15-20 pp after syndication.
• Video assist rate: share of opportunities where a <90-sec explainer or demo video was viewed by a buyer and preceded a stage progression. Target >=30% assist within two quarters.
• Review influence: Percentage of opportunities with review-site sessions/referrals. Aim for >=50% exposure on software deals.
• Ungated content completion: Completion rate of one-pagers/demos without form fills – increase by +10-15 pp by removing steps.

8. Industry Cloud Platforms & Vertical AI Stacks

Industry cloud combines vertical data models, workflows, and partner apps to reduce time-to-value in regulated situations. Gartner predicts that more than 70% of businesses will utilize ICPs to speed up business efforts by 2027, up from less than 15% in 2023. This change will move cloud from infrastructure to industrial outcomes.

On top of industry clouds, providers are deploying pre-modeled data schemas and domain agents (like claims, underwriting, clinical intake, and policy servicing).

Salesforce’s growth to more than 15 industry clouds is an example of this momentum. Its industrial clouds bundle sector-specific data models, processes, and partner solutions.

The key takeaway is that instead of creating generic services from scratch, executives may now purchase business change (preconfigured capabilities).

The value of cloud computing is changing from raw computation to verticalized P&L effect, which is why it matters in 2026. By 2030, McKinsey projects that the cloud will generate almost USD 3 trillion in value. Businesses will transition from lift-and-shift to domain modernization – exactly where ICPs and vertical AI stacks lower integration costs.

KPIs & Target Ranges

• Time-to-pilot (ICP + vertical AI): Days from contract to first production user. Target <=90 days using prebuilt data models and PBCs.
• % workloads on ICP (for the chosen domain): Ramp to >=30% of domain transactions executed on the industry cloud within two quarters of pilot go-live.
• Partner attach rate: Share of ICP transactions invoking ecosystem apps (claims rules, identity/KYC, prior-auth engines). Aim for >=25% attach to validate ecosystem leverage.
• Outcome delta: Domain metric tied to the pilot (e.g., claim cycle time, KYC false-positive rate, care-gap closure). Seek 10-20% improvement vs. baseline in two quarters.

9. Supply Chain Risk Intelligence & Nearshoring Economics

The economics of nearshoring are becoming more attractive, particularly in Mexico and the US industrial belt. But supply chains are still vulnerable to shocks.

Carriers and forwarders observed ongoing chokepoints at risk. For instance, the Red Sea reroutes reduced the capacity between Asia and Europe by approximately 15-20% Q2 2024. This increases transit time and fuel costs as well as forces congestion into alternative lanes.

As businesses front-loaded shipments in anticipation of tariff hikes, the World Bank reduced its 2025 global trade growth projections to ~1.8%, down ~1.3 percentage points from January’s estimates.

Meanwhile, re-industrialization in North America is a reality. With USD 840 billion in overall commerce in 2024, Mexico ranked as the US’s largest trading partner. This indicates a stronger integration of supply chains for electronics, medical products, and automobiles.

Further, the EV semiconductor build-out and CHIPS/IRA subsidies were responsible for the doubling of US manufacturing construction, which increased from USD 79 billion in June 2021 to USD 236 billion in June 2024.

In the meantime, nearshoring foreign direct investment into Mexico broke records and reached USD 21.37 billion in Q1 2025 (Banxico). Reinvestment accounting for the majority of 2024 totals and new investment inflows are also up by 165% YoY.

The number of FDI and reshoring jobs declared in the US reached about 244K in 2024 and more than 2 million since 2010. This demonstrates a steady trend to shift exposure away from lengthy, vulnerable routes.

Therefore, leaders should make it a financial variable and assume frequent, compounding interruptions instead of making location a fixed assumption. The successful pattern combines a portfolio of footprint alternatives that you may activate as tariffs, freight rates, and geopolitics change.

KPIs & Target Ranges

• Revenue-at-risk (RaR): % of quarterly revenue exposed to a single corridor or tier-2/3 node. Target <=10% per corridor after dual-sourcing.
• Time-to-detect/time-to-respond: Days from disruption event to mitigation order (expedite, reroute, supplier swap). Aim for <2 days / <7 days respectively, once the dashboard is live.
• Lead-time volatility (p95-p50 gap): Shrink corridor variability by 20-30% via lane diversification and buffer placement.
• Nearshore share of volume: Percent of volume shifted to Mexico/US for the pilot family. Target 15-25% in 2-3 quarters where FDI/vendor capacity exists.

10. Ambient/Edge Intelligence & IoT Telemetry

To reduce latency, lower backhaul costs, and maintain operations resilience during network degradation events, enterprises are pushing analytics and control to the edge.

There are two distinct adoption signals. First, edge spending is significant and increasing. According to IDC, businesses will spend around USD 261 billion on edge solutions in 2025, with a projected 13.8% CAGR of over USD 380 billion by 2028.

Second, Statista forecasts that there will be 19.8 billion IoT devices by 2025. Therefore, combining more signals at the edge with improved on-site computation ensures faster decisions.

Further, 5G acceptance and coverage are still growing. According to GSMA’s 2025 projection, private-network deployments and 5G connections will scale through 2028. This will provide predictable latency and capacity for computer vision and machine telemetry at campuses, ports, and plants.

KPIs & Target Ranges

• Time-to-detect / time-to-respond: Reduce anomaly detection and operator notification by 30-60% when inference runs on-site. Benchmark against current SCADA/centralized flows.
• Backhaul reduction: Target 50-90% less WAN traffic by sending features/events vs. raw video/sensor streams; validate with monthly GB/TB baselines.
• MTBF/MTTR impact: Lift mean time between failures via earlier detection; cut mean time to repair with automated work orders from edge alerts.
• Inference accuracy in production: Maintain precision/recall >= model gate after deployment. Retrain schedule defined by drift metrics.

11. AI Governance, Trust & Disinformation Security

AI is no longer a productivity lever – it is a regulated and reputational exposure that boards must control with the same rigor as financial reporting.

The EU AI Act will be widely applicable by August 2026, with embedded high-risk systems being extended until August 2027. Prohibitions and AI literacy duties have been in effect since February 2025, and obligations for general-purpose AI (GPAI) and EU-level governance started in August 2025.

Fines for breaches can reach EUR 35 million, or 7% of worldwide sales (and EUR 15 million, or 3% for the majority of other infractions). This establishes the bar for AI compliance for multinational corporations, even in cases where systems are developed or utilized outside of the EU.

EU cybersecurity reporting also shows a consistent increase in AI-enabled social engineering and malware delivery across industries. Additionally, the USD 25 million deepfake video-conference heist at Arup demonstrated how convincingly attackers can clone executives to transfer assets.

These occurrences are becoming more common. According to current industry statistics, the number of deepfake attempts has increased significantly year over year, with audio spoofs surpassing video as the quicker and less expensive vector.

KPIs & Target Ranges

• Model inventory coverage: Percentage of production-impacting models recorded with owners, data lineage, and evals.
• Evaluation gate adherence: Share of models/workflows that pass predefined precision/recall, bias, and safety thresholds before release.
• Policy conformance to EU AI Act scope: Percentage of in-scope systems mapped to applicable obligations and evidence collected.

12. Zero-Trust & Software Supply Chain Security

Verifiable software provenance and zero-trust measures are now considered table stakes by boards. The transition is driven by three forces:

• Pressure from procurement and standards.
• Expectations for provenance.
• Product regulation.

Since CISA published the official Secure Software Development Attestation Form on March 2024, software providers must now self-attest to secure-development processes mapped to NIST SP 800-218 (SSDF). This effectively makes SSDF a criterion for procurement for agencies and their suppliers.

Enterprise requests for signed builds and tamper-evident pipelines were also expedited by OpenSSF’s SLSA v1.0 (stable since 2023). It established useful tracks for source, build, and dependency integrity.

Further, the EU’s Cyber Resilience Act (CRA) went into effect in December 2024. It codifies vulnerability handling, secure-by-design, and lifetime duties for products with digital components. Early requirements will begin in September 2026, and it will be widely applicable by December 2027.

According to a June 2025 poll, 48% of security leaders believe they are lagging behind on SBOM standards related to the EU CRA and US OMB recommendations. Just 12% of German companies currently report full SBOMs. To speed up audits and minimize risk transfer, buyers will give preference to suppliers who present verifiable artifacts.

KPIs & Target Ranges

• Provenance coverage: Percentage of binaries/images shipped with verifiable provenance. Target >=80% of GA artifacts within two quarters.
• SBOM completeness & availability: Percentage of GA releases with machine-readable SBOM accessible to customers under NDA or portal. Target >=90% of top-revenue SKUs and reduce time-to-SBOM to <=24h post-release.
• Vulnerability MTTR (product & third-party deps): Median days-to-fix by severity. Tie SLAs to customer contracts. Target: Critical <=7d, High <=14d.
• Attestation readiness: % of supplier and internal software covered by SSDF self-attestations suitable for federal/regulated buyers. Target 100% for in-scope components.
• Zero-trust control coverage: Percentage of services enforcing strong identity, least-privilege access, and continuous posture checks. Target >=90% of production services.

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