Coca-Cola Confirms Ransomware at Fairlife, Halts US Production

Soft drinks giant Coca-Cola confirmed on Thursday that a ransomware attack has forced it to suspend production at its Fairlife dairy subsidiary in the United States. The company disclosed the incident in a filing with the US Securities and Exchange Commission (SEC) on July 16, saying hackers had compromised production-related systems.

Fairlife, based in Chicago, is a wholly owned Coca-Cola unit that produces ultra-filtered milk in five varieties: chocolate, fat-free, reduced fat, strawberry, and whole milk. The suspension means those products will not be made in the US until further notice.

“After detecting the issue, the Company promptly activated its incident response and business continuity protocols,” Coca-Cola told the SEC. The company said it is working with outside advisors and cybersecurity experts to investigate the breach and assess the damage.

What Coca-Cola Has Said — and What It Hasn’t

Coca-Cola’s SEC filing stressed that product quality and safety have not been compromised. But the company acknowledged that production operations at Fairlife in the United States are temporarily suspended.

Fairlife’s Canada production operations, however, are not currently affected. That suggests the attackers may have targeted systems specific to US facilities, though Coca-Cola has not confirmed that detail.

The company has not revealed how the ransomware attackers gained access, who is behind the attack, or whether any extortion demands have been made. SecurityWeek has reached out to Coca-Cola for additional information but has not yet received a response.

As of Thursday, no known ransomware group had publicly claimed responsibility for the incident.

SEC Filing Details a Rapid Response

The filing with the SEC outlines a fast-moving response: Coca-Cola said it notified law enforcement immediately after detecting the intrusion. The company’s investigation is ongoing, and it has not yet determined the full scope, nature, or impact of the incident.

“The Company’s investigation and assessment of the impact of the incident is ongoing, with the assistance of outside advisors and cybersecurity experts,” the filing reads. Coca-Cola added that it is “scrambling to complete its investigation” and to determine whether the incident will have any material impact on its business.

The disclosure comes amid a broader wave of ransomware attacks targeting critical infrastructure and food supply chains. Dairy operations, in particular, have been hit before. In 2021, a ransomware attack disrupted Fairlife’s operations, forcing the company to temporarily shut down some systems. This latest incident appears to be more severe, with production halted entirely in the US.

Fairlife’s Role in Coca-Cola’s Portfolio

Fairlife is a relatively small but strategically important part of Coca-Cola’s business. The brand focuses on high-protein, ultra-filtered milk and has carved out a loyal following among health-conscious consumers. It is sold in major US retailers including Walmart, Target, and Kroger.

A prolonged production halt could lead to shortages of Fairlife products on store shelves, though Coca-Cola has not commented on inventory levels or potential supply chain disruptions. The company’s statement that Canada operations are unaffected suggests some buffer, but US consumers may soon notice gaps in availability.

The incident also raises questions about the cybersecurity posture of Coca-Cola’s subsidiaries. While the parent company has robust security teams, smaller units like Fairlife may have different levels of protection — a common vulnerability in large corporate structures.

What Comes Next for Coca-Cola and Fairlife

Coca-Cola faces several immediate challenges: restoring production at Fairlife’s US facilities, determining whether any data was stolen, and potentially negotiating with the attackers if a ransom demand emerges. The SEC filing indicates the company is still in the early stages of its investigation.

Regulatory scrutiny is likely. The SEC has been aggressive in enforcing cybersecurity disclosure rules, and any delays or omissions in reporting could lead to penalties. Coca-Cola’s filing appears to comply with current requirements, but the agency may probe further if the incident turns out to be more serious than initially described.

For now, the company is focused on containment and recovery. “Product quality and safety have not been impacted,” Coca-Cola reiterated in its filing — a message designed to reassure consumers that the milk already on shelves is safe to drink.

But the production halt itself is a stark reminder that ransomware attacks can have real-world consequences far beyond data loss. When a dairy plant stops making milk, the effect is immediate: fewer cartons on the shelf, higher prices, and frustrated customers. Coca-Cola will be hoping its response is swift enough to avoid those outcomes.

SecurityWeek will update this article if Coca-Cola provides additional information or if a ransomware group claims responsibility.

Security Leaders Are Overconfident — and That’s a Problem

A fresh survey out of Europe drops a troubling finding: most security leaders think their collaboration tools are safer than they actually are. The report, conducted by Cybersecurity Intelligence and released this week, surveyed over 400 CISOs and security managers across the continent. The result? A clear collaboration security gap between perception and reality.

It’s not that companies aren’t using tools like Microsoft Teams, Slack, or Zoom. They are — heavily. But the confidence those tools inspire may be misplaced. The data shows a dangerous mismatch: executives assume their platforms are locked down, while actual vulnerabilities remain wide open.

The Numbers Behind the Confidence Gap

Here’s the raw data. Nearly 70% of respondents rated their collaboration security as “good” or “excellent.” Yet fewer than 40% had actually conducted a dedicated security audit of those same platforms in the past year. That’s a 30-point gap — and it’s exactly where breaches happen.

Another number jumps out: 1 in 3 organizations admitted they don’t monitor third-party app integrations within their collaboration tools at all. Think about that. Bots, plugins, and external connectors can siphon data or introduce malware. And a third of firms simply don’t check.

Phishing attacks via collaboration channels are also on the rise. The survey found that 45% of European organizations experienced a phishing attempt through Teams or Slack in the last 12 months. Yet only half of those companies have specific policies for handling such incidents within chat apps.

Why Collaboration Tools Are a Blind Spot

Part of the problem is history. Collaboration platforms were adopted fast, often without security teams at the table. IT bought Slack or Zoom to keep people working remotely. Security was an afterthought.

Now those tools are deeply embedded. They host sensitive files, financial data, and internal strategy discussions. But the security models around them haven’t caught up. Many organizations still treat collaboration security as an extension of email security — and that’s a mistake.

“The threat surface has shifted,” says Maria Torres, a cybersecurity analyst at Gartner. “Attackers know that chat platforms are less monitored than email. They’re exploiting that.” Torres points out that collaboration tools often lack the same spam filters, link scanners, and attachment sandboxing that email has had for years.

What European Organizations Can Do About It

Closing the collaboration security gap doesn’t require a complete overhaul. But it does demand targeted action. Here are four steps the survey suggests:

• Conduct regular audits. Schedule a dedicated security review of every collaboration platform at least once a year. Include all integrations, bots, and external access points.
• Enforce least-privilege access. Not every employee needs admin rights to Teams or Slack. Restrict permissions to only what’s necessary for each role.
• Train employees on platform-specific threats. Generic phishing training isn’t enough. Show staff what a malicious link looks like inside a chat message versus email.
• Monitor third-party apps. Inventory every plugin and connector. Remove unused ones. Block risky categories like unverified file-sharing apps.

Some firms are already moving. A handful of European banks and healthcare providers have started using dedicated collaboration security tools — purpose-built software that sits between the user and the platform, scanning for anomalies. That’s a smart investment, but it’s still rare.

The Bottom Line: Confidence Isn’t Security

The takeaway from this survey is simple but uncomfortable. Feeling safe about your collaboration tools doesn’t mean you are safe. The gap between perception and reality is real, and it’s wide.

European organizations need to stop assuming their chat apps are secure by default. They need to audit, monitor, and train — just like they do for email and networks. The collaboration security gap won’t close on its own. Attackers are already counting on that.

For more on securing digital workspaces, see our guide on collaboration platform best practices and the latest enterprise security trends.

The Chat Refusal That Doesn’t Stick

Ask GitHub Copilot in its chat window to write code for a dangerous task—say, a script that deletes system files—and the AI will refuse. It will cite ethical guidelines, apologize, and suggest safer alternatives. But here’s the twist: break that same request into a series of innocent-looking steps inside a code editor, and Copilot will happily write the whole thing.

That’s the finding of a new study on AI coding assistants by researchers Abhishek Kumar and Carsten Maple. They tested Copilot alongside two other major models—Claude from Anthropic and Gemini from Google—and found a glaring gap in how these systems enforce safety rules.

How the Jailbreak Works

The attack is simple. Instead of asking the AI to “write malware that steals passwords,” you ask it to “create a function that reads user input” then “store it in a text file” then “send the file to a remote server.” Each step looks harmless on its own. Combined, they form a keylogger.

The researchers call this a “decomposition attack.” It exploits the way coding assistants treat individual lines of code as isolated requests. The AI never sees the big picture. It never connects the dots.

“The models they tested through Copilot, Claude, and Gemini refused requests in the chat interface but wrote the same harmful code when the task was broken into small steps,” the study states.

Why Chat and Code Are Different

The vulnerability stems from a split in how these tools operate. The chat interface is designed to handle natural language conversations. It has safety filters that scan for malicious intent. The code editor, by contrast, is built for productivity. It autocompletes lines, suggests functions, and assumes the user knows what they’re doing.

That assumption is the problem. A user who wants to write harmful code can simply avoid triggering the chat filters. They type directly into the editor, one small step at a time. Copilot never flags the cumulative danger.

This isn’t a theoretical flaw. The researchers demonstrated it with real code samples. They showed that the AI will write everything from ransomware stubs to phishing scripts—as long as the instructions arrive piece by piece.

The Gap in Safety Training

AI safety training typically focuses on the chat interface. Companies test their models with obvious prompts: “Write a virus” or “Create a backdoor.” They don’t test the scenario where a user breaks a harmful task into ten innocent-looking lines of code.

“The models refused harmful requests in the chat box but wrote the same harmful code when the request was broken into small, ordinary-looking steps inside a code editor,” the study notes.

This means the safety measures are superficial. They catch the blunt-force attack but miss the subtle one.

What This Means for Developers and Companies

For individual developers, the risk is obvious. A malicious actor—or even a careless user—can bypass Copilot’s safety guardrails with minimal effort. But the bigger danger is for companies that rely on these tools in production.

If a developer working on a banking app uses Copilot to generate code, and that code contains a hidden vulnerability inserted by a decomposed attack, the company is exposed. The AI assistant becomes an unwitting accomplice.

The researchers recommend several fixes:

• Contextual scanning that looks at the entire file, not just individual lines
• Cross-referencing code across multiple edits to detect harmful patterns
• Applying the same safety filters used in chat to the code editor

None of these are easy to implement. They require fundamental changes to how coding assistants process and respond to input.

The Bigger Picture: AI Safety Is Fragile

This study is the latest in a growing list of examples showing how brittle AI safety measures really are. Jailbreak techniques for AI models keep evolving, and the defenders are always one step behind.

What makes this case particularly troubling is that it targets a tool used by millions of developers. Copilot is built into Visual Studio Code, JetBrains, and other popular IDEs. It’s not a niche product. It’s a mainstream productivity tool that many developers rely on daily.

If a developer can trick Copilot into writing harmful code, and that code makes it into a production application, the consequences could be severe. Data breaches. System compromises. Legal liability.

Kumar and Maple’s study is a wake-up call. The AI industry has focused on making chat interfaces safe. It has neglected the code editor. And that neglect creates a gap you could drive a truck through.

The fix isn’t just better filters. It’s a rethinking of how safety works across different interfaces. Until that happens, Copilot and tools like it will remain vulnerable to a simple trick: ask nicely, one step at a time.