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AI Risks Include Data Poisoning and Model Corruption

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Ai Risks Include Data Poisoning And Model Corruption

Ted Krantz, CEO of Interos

Interos, a company providing supply chain resilience and risk management software, emailed me to say that there was a supply chain risk everyone seemed to be ignoring – AI-related risks.

Companies use risk management software, like the Interos solution, to monitor and analyze supplier risk events in real time. These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur.

It is well known that ChatGPT can hallucinate. Almost all supply chain software companies are talking about how they are incorporating generative AI into their solutions and how this could improve user interfaces. Most argue that when the UI is trained with the company’s own data, the risk of hallucination is small.

But what Interos is talking about is different. Not just the risk of generative AI hallucinations but the risks associated with all forms of AI. The AI-related risks include data poisoning and model corruption. These, Interos argues, pose significant challenges for organizations integrating AI into their operations. They are right, I don’t hear anyone else discussing this risk.

I interviewed Ted Krantz, the new CEO of Interos, to learn more. Mr. Krantz argues that with Cloud-based architecture, componentized software, and embedded analytics, there are significant flows of information across ERP and supply chain platforms. That information comes from inside the platform applications and increasingly from outside sources, like Interos. These platforms need high-fidelity signals that can be trusted.

The life cycle path of the data, Mr. Krantz continued, includes an input stage, the model, and the output. All three of those checkpoints have challenges and opportunities.

Garbage In, Garbage Out

Garbage in, garbage out refers to the data integrity problem on the input side. Solutions, particularly solutions that leverage public data like risk management applications, are very reliant upon the quality of the signal. Is the information from these websites factual? Is it fictional? “So, there’s a corruption component at the input level that all of us have to struggle through.” This is true whether it’s generative AI application or more traditional forms of artificial intelligence.

Some algorithms can help clean data. These can be simple logic that detects if it is a zip code field; there should be five digits. If the zip is only four numbers long, then it is wrong. Or data cleaning tools can suggest that both “P&G” and “Proctor & Gamble” probably refer to the same company.

However, numerous other input errors can occur, particularly surrounding something as complex as a global supply chain. But, Mr. Krantz continues, “This gets really complicated, really fast.” Interos provides risk scoring across six different types of risks. “Each one of those independent risk factors has individual, unique variables that can require manual intervention and scrubbing to adjust for and correct. There could be changes on the regulatory front. For example, over 15,000 companies were added to the US restricted entities list in 2023 and 2024.

Or perhaps a piece of legislation’s go-live date is delayed, which changes the scoring. “It’s a hornet’s nest of literally countless potential corruptions at the input level that you’re constantly adjusting to. So, the primary point here is that for the foreseeable future, we need a team that is constantly checking the data.” The team, the CEO explains, is constantly “banging” on the system to try to detect errors as well as interacting with customers who think some of the scores may be wrong. “This is endless. It’s a beast. People don’t just get replaced here. They actually get put in more strategic positions.”

AI Model Corruption

The AI models can also become corrupt. “The complexity at the model level is the orchestration of the private signals, the company signals, what signals are superseding by others, and getting that calibration correct.” For Interos, the AI model calculates the Interos risk score on a 0 to 100 scale. There are green, yellow, and red indicators, and maps and monitoring capabilities attached to the scores.

At the model level, one set of issues surrounds how that score is framed. “What are the variable weightings associated with that score?” How much weight should be given to each variable that makes up the score? “Much like at the input level, we need a team around this that constantly calibrates how the score should be calculated.” And like at the input level, ongoing collaboration with clients is necessary to ensure that the scoring mechanism is accurate. There is always a “human in the loop. If anyone’s saying that they don’t have that, they’re just not being truthful.” For example, online news items can generate event data. But to create real-time maps surrounding that risk often requires humans to tune the algorithm.

Whatever score is generated, “customers are naturally going to challenge that score.” We have to have a way for us to frame the integrity of the I score that is strictly an unbiased industry purview based on the data that we see.” For example, a customer might see a cyber risk score of 70. Sophisticated customers seek to understand how that score was generated and argue that if the score were calibrated differently, their score would be higher. And that customer might be right. There has to be an element of collaboration around the risk model.

One thing Interos is working toward is giving the customer the ability to weigh the parameters themselves. For example, a supplier’s risk score might be based partly on the FICO creditworthiness score generated by the Fair Issac company. In the future, Interos customers may decide to give that variable either more or less weight.

Interos’s CEO points out that the risk models have different levels of complexity. Some of the data, like FICO scores, is “quasi-historical.” In some cases, like predicting storm paths and which suppliers might be impacted, it is a real-time prediction. For more complex models, Interos needs to move more slowly before allowing customers to change the parameters.

AI Outputs Can Be Corrupt

Finally, AI outputs can be corrupted. One risk here is the potential loss of intellectual property. This is the idea that a hacker or malign government might be able to find an entry point to a company’s application and view, corrupt, or lock up the data. All enterprise software suppliers need robust cybersecurity in place.

Interos just published a report called 5 Supply Chain Predictions You Need to Know in 2025. Interos predicts that traditional cyber attacks – malware, ransomware, phishing, etc. – will continue in 2025, but they warn that we need to be on the lookout for more disruptions to the physical infrastructure that is foundational to our digital world. Geopolitics rivalries underpin the potential for significant cyber disruptions to the hardware and software we depend on to make our world go round. Increasingly, enterprise applications run on Public Clouds. An attack that takes down a public cloud platform does not just affect one company; it affects numerous companies.

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What a Return to the Red Sea Could Mean for the Container Market

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What a Return to the Red Sea Could Mean for the Container Market

November 26, 2025

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As the fragile but still-in-place Israel-Hamas ceasefire nears the two-month mark, and with the Houthis declaring an end to attacks on passing vessels, there is more and more anticipation that the long-awaited return of container traffic to the Red Sea may be coming soon.

Though Maersk maintains it has not set a date, the Suez Canal Authority stated that Maersk will resume transits in early December. ZIM’s CEO recently stated that a return in the near future is increasingly likely, and CMA CGM is reportedly preparing for a full return in December.

Operational Impact

The shift of most of the 30% of global container volumes that normally transit the Suez Canal away from the Red Sea and around the Cape of Good Hope almost exactly two years ago added seven to ten days and thousands of nautical miles to Asia – Europe journeys and to some Asia – N. America sailings as well.

The return of container traffic to the shorter Suez route will result in the sudden early arrival of these ships, which will mean significant vessel bunching and congestion at already persistently congested European hubs. This congestion will cause delays and absorb capacity which could push container rates up on the affected lanes, and possibly beyond.

The shift back through the Suez Canal may initially keep some of the typically lower volume ports in Europe that have become transhipment centers during the Red Sea crisis, like Barcelona, busy while carriers may omit port calls at some of the congested major hubs. But after the unwind, these ports, as well as African ports that have been used as refuelling stops during the last two years, will see port calls decline.

Carriers have plans for a gradual phase in of the transition back to the Red Sea, with smaller vessels starting to transit first. This approach would still cause vessel bunching, but would be aimed at minimizing the impact of the reset as much as possible.

But some carriers are skeptical that an orderly phase-in will happen, as they expect pressure from customers who will want a return to the shorter route as quickly as possible. Analysis from Sea Intelligence suggests that the more gradual the transition, the less disruptive it will be, while the faster the return the more disruptive it will be during the up to two months it will take for schedules to return to normal.

Ocean expert Lars Jensen also notes that a return during the lead up to Lunar New Year would coincide with an increase in demand, and would put more pressure on ports and rates than if the transition takes place post-LNY when demand is typically weak. With carriers signalling the shift will begin in December and pre-LNY demand probably picking up in mid-January next year, it seems likely the two will coincide.

Implications for Capacity – and Rates

Red Sea diversions were estimated to have absorbed about 9% of global container capacity by keeping ships at sea for longer and – with longer journeys meaning vessels would arrive back at origins days behind schedule – via carriers adding extra vessels to services in order to maintain planned weekly departures.

This drain on capacity caused Asia – Europe rates to more than triple and transpacific rates to more than double in the two months from the time the diversions began to just before Lunar New Year of 2024. And though rates moved up and down along with seasonal changes in demand, the capacity drain pushed East-West rates up to 2024 highs of $8,000 – $10,000/FEU and set a highly elevated floor of $3,000 – $5,000/FEU during low demand periods that year.

But even with Red Sea diversions continuing to absorb capacity in 2025, continued fleet growth through newly built vessels entering the market has meant that the container trade has already become significantly oversupplied.

As such, rates on these lanes – even before the capacity absorbed by diversions has re-entered the market – have consistently been significantly lower than in 2024 even during months when volumes have been stronger, with prices on some lanes reaching 2023 levels for a span in early October. Recent carrier struggles maintaining transpacific GRIs point to this challenge already.

Even with Red Sea diversions continuing and even during months in 2025 with stronger year on year volumes, capacity growth has meant rates in 2025 have been lower than in 2024.

Yes, the initial congestion and delays caused by the transition back to the Suez Canal will at first put upward pressure on rates for Asia-Europe containers and probably to a lesser degree on the transatlantic lanes as well. If the congestion ties up enough capacity or impacts operations at Far East origins, the rate impact could spread to the transpacific as well. As noted above, if the return coincides with the lead-up to LNY, it will have a stronger impact on rates as there will be pressure from the demand side as well.

But once the congestion unwinds and container flows and schedules stabilize the shift will ultimately release more than two million TEU of container capacity back into the market. This surge will put even more downward pressure on rates and increase the challenge of effectively managing capacity for carriers seeking to keep vessels full and rates profitable in 2026.

Judah Levine

Head of Research, Freightos Group

Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights. Judah produces the Freightos Group’s FBX Weekly Freight Update and other research on what’s happening in the industry from shipper behaviors to the latest in logistics technology and digitization.

Put the Data in Data-Backed Decision Making

Freightos Terminal helps tens of thousands of freight pros stay informed across all their ports and lanes

The post What a Return to the Red Sea Could Mean for the Container Market appeared first on Freightos.

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Transpac ocean rates fizzle; Red Sea return coming soon? – November 25, 2025 Update

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Transpac ocean rates fizzle; Red Sea return coming soon? – November 25, 2025 Update

Discover Freightos Enterprise

November 25, 2025

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Weekly highlights

Ocean rates – Freightos Baltic Index

Asia-US West Coast prices (FBX01 Weekly) decreased 32% to $1,903/FEU.

Asia-US East Coast prices (FBX03 Weekly) decreased 8% to $3,443/FEU.

Asia-N. Europe prices (FBX11 Weekly) decreased 1% to $2,457/FEU.

Asia-Mediterranean prices (FBX13 Weekly) increased 6% to $2,998/FEU.

Air rates – Freightos Air index

China – N. America weekly prices decreased 2% to $6.50/kg.

China – N. Europe weekly prices decreased 1% to $3.97/kg.

N. Europe – N. America weekly prices increased 1% to $2.33/kg.

Analysis

Despite higher tariffs since early this year, US retail sales have proved resilient and are expected to grow through the holiday season. The solidifying tariff landscape is nonetheless facing destabilizing forces like recent China-Japan tensions, and the US Supreme Court’s pending decision on the legality of Trump’s IEEPA-based tariffs.

But the White House is signalling it is already taking steps to ensure that a SCOTUS loss will not open a low tariff window. So, if consumer spending remains strong, and the status quo of the trade war holds up, the US could enter a restocking cycle in 2026 as frontloaded inventories wind down. This restocking could mean stronger freight demand than some have anticipated for next year.

On the freight supply side though, there is more and more discussion of container traffic’s coming return to the Red Sea as the fragile Israel-Hamas ceasefire remains in effect. And while most carriers are not offering a timeline, ZIM’s CEO recently stated that a return in the near future is increasingly likely.

The shift of most of the 30% of global container volumes that normally transit the Suez Canal away from the Red Sea and around the Cape of Good Hope almost exactly two years ago added seven to ten days and thousands of miles to Asia – Europe journeys and to some Asia – N. America sailings as well.

The return of container traffic to the shorter Suez route will result in the sudden early arrival of these ships, which will mean significant vessel bunching and congestion at already persistently congested European hubs. This congestion will cause delays and absorb capacity which could push container rates up on the affected lanes, and possibly beyond.

Carriers have plans for a gradual phase in of the transition back to the Red Sea, with smaller vessels starting to transit first. This approach would still cause vessel bunching, but would be aimed at minimizing the impact of the reset as much as possible.

But some carriers are skeptical that an orderly phase-in will happen, as they expect pressure from customers who will want a return to the shorter route as quickly as possible. Analysis from Sea Intelligence suggests that the more gradual the transition, the less disruptive it will be, while the faster it is the more disruptive it will be, and the more pressure it will put on freight rates during the up to two months it will take for schedules to return to normal.

Ocean expert Lars Jensen also notes that a return during the lead up to Lunar New Year would coincide with an increase in demand, and would put more pressure on ports and rates than if the transition takes place post-LNY when demand is typically weak.

The capacity absorbed through Red Sea diversions pushed East-West rates up to highs of $8,000 – $10,000/FEU in 2024 and set a highly elevated floor of $3,000 – $5,000/FEU during low demand periods that year. But even with Red Sea diversions still in place this year, rates on these lanes have consistently been significantly lower than last year, with prices on some lanes reaching 2023 levels for a span in early October.

The transition back to the Suez Canal – be it more or less chaotic – will ultimately release more than two million TEU of container capacity back into the market. This surge will put even more downward pressure on rates and increase the challenge of effectively managing capacity for carriers seeking to keep vessels full and rates profitable.

The current overcapacity on the East-West lanes is the main reason that carriers’ November transpacific GRIs which had pushed West Coast rates up by $1,000/FEU this month to about $3,000/FEU have now fizzled.

Asia – N. America West Coast prices fell 32% last week to $1,900/FEU with daily rates this week down another $100 so far, but prices remain above the $1,400/FEU low for the year hit in early October. Last week’s vessel fire at the Port of LA does not seem to have had an impact on prices as operations have quickly recovered. Rates to the East Coast fell 8% to $3,400/FEU last week but are at $3,000/FEU so far this week, about even with levels in early October before these set of GRI introductions.

Meanwhile, October and November’s GRIs on Asia-Europe lanes have stuck, with rates to Europe and the Mediterranean both 40% higher than in early October at $2,500/FEU and $3,000/FEU respectively. These rate gains may be surviving on aggressive blanked sailings on these lanes.

Carriers are planning additional GRIs for December aiming for the $3k-$4k/FEU level as they continue to reduce capacity – with an announced labor strike in Belgium likely to help absorb some supply – but there are signs that these increases may not take.

In air cargo, peak season demand is driving rates up and should keep doing so for the next couple weeks. Freightos Air Index data show ex-China rates remaining strong at about $6.50/kg to N. America and $4.00/kg to Europe last week. Demand out of S. East Asia has grown significantly during this year’s trade war, with rates also elevated on these lanes at $5.40/kg to the US and $3.50/kg to Europe.

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Judah Levine

Head of Research, Freightos Group

Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights. Judah produces the Freightos Group’s FBX Weekly Freight Update and other research on what’s happening in the industry from shipper behaviors to the latest in logistics technology and digitization.

Put the Data in Data-Backed Decision Making

Freightos Terminal helps tens of thousands of freight pros stay informed across all their ports and lanes

The post Transpac ocean rates fizzle; Red Sea return coming soon? – November 25, 2025 Update appeared first on Freightos.

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How AI Is Driving the Future of Industrial Operations and the Supply Chain

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How Ai Is Driving The Future Of Industrial Operations And The Supply Chain

ARC Industry Leadership Forum • Orlando, Florida
February 9–12, 2026 • Renaissance Orlando at SeaWorld

Artificial intelligence is reshaping how industrial organizations run their operations and supply chains. The shift is real. The early experiments are gone. Today, companies are redesigning their planning, logistics, reliability, sourcing, and production workflows around systems that can think, react, and coordinate.

At ARC Advisory Group, we’re seeing this change accelerate every quarter. AI is moving from a standalone project to the connective tissue between operational systems. It’s improving how energy is consumed, how materials flow, how assets behave, and how teams respond to uncertainty.

This February, leaders from across the world will gather in Orlando to break down where AI is creating value and what comes next.

Event Details
Renaissance Orlando at SeaWorld
6677 Sea Harbor Drive, Orlando, FL 32821
February 9–12, 2026
Event link: https://www.arcweb.com/events/arc-industry-leadership-forum-orlando

More than 200 colleagues are already registered, including Conrad Hanf and a broad mix of executives, operations leaders, and technologists.

Why AI Matters Right Now

AI gives industrial organizations three capabilities they’ve never had before.

Real-time awareness.
Factories, yards, pipelines, fleets, and distribution nodes are producing enormous amounts of data. AI helps cut through that noise. It identifies what matters, when it matters, and why. The result is faster decisions and fewer surprises.

Coordination across functions.
Production affects logistics. Maintenance affects throughput. Sourcing affects lead time. AI lets these domains share context and act together instead of waiting for a meeting or a spreadsheet adjustment. Decisions that once took a day now happen instantly.

Pattern recognition at scale.
AI sees the earliest signals of asset degradation, demand shifts, port delays, or supply risk. It doesn’t wait for a problem to become a crisis. It alerts teams early and recommends actions with enough lead time to matter.

What Leaders Are Focusing On

Across our research and briefings, the same themes keep rising to the surface.

AI-driven maintenance and reliability.
Predictive models are becoming the default. They diagnose root causes, calculate the impact of failure, and help schedule work when it makes operational sense.

Modern planning and scheduling.
Forecasts now incorporate external signals, real-time plant conditions, and multi-site interactions. Planners are starting to work with continuously updated recommendations instead of static plans.

Autonomous supply chain operations.
AI agents are beginning to negotiate with carriers, re-route shipments, rebalance inventory, and adjust sourcing strategies. This isn’t sci-fi. It’s quietly happening in live networks.

Graph intelligence.
Industrial networks are connected by thousands of relationships. Knowledge-graph models help organizations understand those connections and trace how one event cascades across an entire operation.

Data discipline.
AI’s performance depends on clean, harmonized data across ERP, MES, historians, WMS, TMS, and supplier systems. Many companies are now tackling this foundational work head-on.

Human and AI collaboration.
The most successful organizations aren’t automating people out. They’re giving operators, planners, and engineers AI tools that amplify experience and judgment.

Why Attend the ARC Industry Leadership Forum

The Forum is where these shifts come together. Attendees will see:

• Real-world case studies from global manufacturers, logistics leaders, and utilities
• Demonstrations of AI-enabled control towers and reliability platforms
• Deep-dive sessions on agent-based systems, context management, RAG assistants, and graph reasoning
• Roundtable conversations with peers facing the same operational pressures
• Practical discussions on governance, cybersecurity, workforce roles, and measurable ROI

This event is built for leaders who want clarity, validation, and a realistic roadmap for scaling AI across the industrial value chain.

A Turning Point for Industrial Operations

AI is changing the fundamentals of how materials move, how assets perform, how demand is met, and how decisions get made. The organizations that learn to use this intelligence well will operate with more resilience, more predictability, and less friction.

The ARC Industry Leadership Forum is the best place to understand what this looks like in practice and how to prepare your organization for it.

Join Us in Orlando

If your role touches operations, supply chain, engineering, logistics, maintenance, or industrial strategy, this gathering will be well worth your time.

Reserve your seat:
https://www.arcweb.com/events/arc-industry-leadership-forum-orlando

We hope to see you there.

The post How AI Is Driving the Future of Industrial Operations and the Supply Chain appeared first on Logistics Viewpoints.

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