On January 28, 2026, Panera Bread confirmed what cybersecurity researchers already knew: the company had experienced a "cybersecurity incident."

What Panera didn't say: the hacker group ShinyHunters had already tried to extort them. When Panera refused to pay, ShinyHunters leaked approximately 5.1 million unique customer accounts publicly for free.

The leaked data included:

• Full names
• Email addresses
• Phone numbers
• Physical addresses

No passwords. No payment cards. No Social Security numbers.

Just contact information.

Here's why that's worse than it sounds:

When your password leaks, you change it. When your credit card number leaks, you cancel the card. When your email, phone number, and home address leak together, you can't change those. They identify you permanently.

And criminals can use that combination to:

• Send convincing phishing emails (using your real name and past orders)
• Call pretending to be Panera support (knowing your actual order history)
• Mail fake promotional materials (to your verified home address)
• Cross-reference with other breaches (building complete identity profiles)

The Panera breach isn't about what was stolen. It's about what you can never get back once it's out there.

After founding a CIAM platform that handled contact data for over a billion users, I learned a critical lesson: every piece of customer data you collect creates permanent liability. The data you don't need becomes the data that destroys customer trust when it leaks.

Let me show you why the Panera breach represents a dangerous new pattern in cybersecurity: the "steal, extort, leak" business model that's making contact data the most valuable target for organized cybercrime.

What Actually Happened: The Timeline

The Panera breach followed a pattern we're seeing repeatedly in 2026. Here's how it unfolded:

Late January 2026: The Theft

ShinyHunters, a prolific cybercrime group, gained access to Panera's systems or third-party vendor.

How they got in: Panera hasn't disclosed details, but typical vectors include:

• Compromised vendor credentials
• Third-party integration vulnerabilities
• Phishing attacks on employees with database access
• API vulnerabilities in customer-facing systems

What they stole:

• Customer database containing approximately 14 million records (ShinyHunters' claim)
• Analysis by Have I Been Pwned showed 5.1 million unique email addresses
• Additional data: names, phone numbers, physical addresses linked to accounts

The discrepancy: Attackers often inflate numbers (claiming 14M when unique count is 5.1M) to increase perceived value during extortion.

Early February 2026: The Extortion

ShinyHunters contacted Panera privately with demands.

The typical extortion pitch:

"We have your customer database. Pay $X in cryptocurrency within 48 hours, or we publish everything. If you pay, we delete the data and provide proof."

Amount demanded: Likely $100,000-$500,000 (typical range for 5M+ records)

Panera's response: Refused to pay

This is becoming more common. Organizations are learning that:

• Paying doesn't guarantee data deletion
• Criminals often sell data even after payment
• Paying funds future attacks
• Paying violates some cyber insurance policies

Late February 2026: The Leak

When extortion failed, ShinyHunters published the data for free on BreachForums.

File format: 760 MB archive containing:

• Email addresses (5.1M unique)
• Names linked to accounts
• Phone numbers (subset of records)
• Physical addresses (subset of records)

Cost to access: Free (no payment required, maximum distribution)

Impact: Data now available to every scammer, fraudster, and identity thief globally.

Early March 2026: The Aftermath

Have I Been Pwned (HIBP) added Panera to its breach database, allowing users to check if their data was exposed.

Panera's public statement:

• Confirmed "cybersecurity incident"
• Said they were "investigating"
• Offered no timeline or specifics
• No mention of the extortion attempt

Customer reality:

• 5.1 million people's contact information now public
• No ability to "change" exposed names/addresses
• Years of targeted phishing ahead
• No compensation or meaningful recourse

When building the CIAM platform, we had a principle: customers deserve to know the full truth about breaches, not sanitized PR statements.

Panera's vague response leaves customers wondering: What exactly happened? What else might be compromised? Can I trust them with my data going forward?

Most people hear "just email and address, no credit cards" and feel relieved.

That's the wrong reaction.

Here's why contact data is actually more dangerous long-term than many "worse-sounding" breaches:

It Never Expires

Password breach:

• Change password immediately
• Enable 2FA
• Breach impact ends

Credit card breach:

• Cancel card
• Get new number
• Fraud protection handles unauthorized charges
• Breach impact ends

Contact data breach:

• Can't change your name
• Can't easily change phone number (tied to accounts, contacts, business)
• Can't change home address (unless you move)
• Breach impact never ends

Your email, name, phone, and address remain valid attack vectors indefinitely.

Generic phishing: "Dear customer, verify your account…"

Panera-specific phishing enabled by this breach:

"Hi [Your Real Name],

We noticed unusual activity on your Panera account linked to [Your Real Email].

Your recent order from our [Your City] location may have been charged twice. Click here to request refund: [Phishing Link]

Panera Bread Customer Service"

Why this works:

• Uses your actual name (feels personal)
• References real Panera account (you have one)
• Mentions your city (you've ordered there)
• Offers money (creates urgency to click)

The victim thinks: "This is real. They know my name, email, and city. I better check my account."

That's why contact data is dangerous. It makes scams indistinguishable from legitimate communication.

It Compounds With Other Breaches

Panera breach alone: Names, emails, phones, addresses

Combined with other breaches:

• AT&T breach (2019-2026): Social Security numbers, dates of birth
• LinkedIn breach (700M, 2021): Professional information, job titles
• Facebook breach (533M, 2021): Birth dates, relationship status
• Various retail breaches: Purchase history, payment preferences

The combined profile:

• Full name (Panera)
• Email (Panera)
• Phone (Panera)
• Home address (Panera)
• SSN (AT&T)
• Date of birth (AT&T or Facebook)
• Job title (LinkedIn)
• Shopping habits (retail breaches)

This is enough for:

• Opening financial accounts
• Passing identity verification
• Filing fraudulent tax returns
• Taking over existing accounts
• Comprehensive identity theft

When building the CIAM platform, we saw this pattern constantly: individual breaches seem minor, but attackers combine datasets to build complete identity profiles.

That's why "just contact data" is misleading. It's the foundation that makes every other leaked dataset more dangerous.

It Creates Long-Term Attack Surface

Passwords get changed. Credit cards expire. Names and addresses don't.

Real scenario from Panera breach:

March 2026: Breach occurs, data leaks

June 2027: Scammer buys leaked Panera data (still available on dark web)

Uses it for:

• "Panera rewards program" phishing (15 months after breach)
• "Class action settlement" scam (claiming breach compensation)
• General identity theft (using name/address from Panera combined with SSN from AT&T breach)

The victim thinks: "That Panera breach was over a year ago. This can't be related."

But it is. Contact data has no expiration date.

It's Cheap and Available Forever

After initial leak, the data becomes a commodity:

Dark web pricing for Panera dataset:

• First 24 hours: Premium (exclusive access)
• First week: Moderate price (early access)
• After one month: Nearly free (widely distributed)
• After one year: Bundled with other datasets for pennies

One criminal buys it. Shares with network. Everyone has it.

This means 5.1 million Panera customers face permanent elevated risk from data that cost attackers nothing to acquire after the initial leak.

The ShinyHunters Business Model

Panera isn't ShinyHunters' first rodeo. They're prolific, sophisticated, and following a clear business model.

Their 2026 Target List

January 2026 alone:

• Panera Bread: 5.1M users (claimed 14M)
• Match Group: Millions of dating app users
• Crunchbase: Startup and business data

Pattern across incidents:

1. Steal data from high-value targets
2. Attempt private extortion first
3. Leak publicly when extortion fails
4. Move to next target

What makes them effective:

They Target Third-Party Vulnerabilities

ShinyHunters rarely hack the target directly. They exploit:

Integration partners:

• Marketing platforms with customer data access
• Analytics tools that sync customer information
• Payment processors with transaction data
• CRM systems connected to main databases

Example from Panera: Research suggests potential entry via third-party vendor, not Panera's core systems.

Why this works:

• Third parties often have weaker security
• Companies don't monitor vendor access closely
• Credentials shared across multiple clients
• Attack on vendor affects dozens of companies

This is the supply chain attack model applied to data theft.

When building the CIAM platform, we learned that your security is only as strong as your weakest vendor.

We had to audit every integration, require 2FA for all vendor access, and monitor API usage patterns for anomalies.

They Weaponize PR Pressure

Traditional ransomware: Encrypt systems, demand payment to decrypt

Data extortion model: Steal data, threaten public leak, demand payment for silence

Why data extortion is more effective:

System ransomware:

• Company can restore from backups
• Downtime is limited
• Recovery is possible

Data extortion:

• Can't "restore" leaked data
• Public leak causes permanent brand damage
• Customer trust destroyed
• Regulatory fines triggered
• Class action lawsuits filed

The PR calculation:

• Pay $200K in ransom, maybe data stays private
• Don't pay, guarantee massive public breach

Many companies pay. Which funds future attacks.

They Distribute for Maximum Impact

When companies refuse to pay, ShinyHunters doesn't sell the data privately. They leak it publicly for free.

Why free distribution?

Maximizes damage:

• Company can't claim "limited exposure"
• Every scammer globally gets access
• Customer harm is widespread and ongoing
• Brand damage is severe

Punishes non-payment:

• Shows other potential victims what happens when you don't pay
• Creates incentive for future targets to pay
• Establishes reputation for following through on threats

Builds criminal brand:

• "ShinyHunters" becomes known for big leaks
• Attracts media attention
• Increases perceived threat value
• Makes future extortion more credible

This is ransomware as terrorism: the goal isn't just money, it's demonstrating capability and willingness to cause massive harm.

The Data Minimization Failure

Here's the question every company should be asking: Why did Panera have all that data in the first place?

What Panera Actually Needed

To provide food service:

• Order history (what you ordered, when)
• Payment information (to process transactions)
• Pickup/delivery location (to fulfill orders)

Temporarily, during transaction:

• Name (for order identification)
• Phone or email (for order notifications)

That's it.

What Panera Collected and Stored

Permanently in customer database:

• Full legal name
• Complete email address
• Phone number
• Home address
• Order history going back years
• Payment methods (stored for "convenience")
• Loyalty program data
• Marketing preferences

The question: Do they need your home address when you pick up a sandwich?

Do they need your phone number stored permanently when the order was completed 6 months ago?

Does your order from 2022 need to be linked to your current contact information?

The answer is usually no.

Why Companies Collect More Than They Need

Reason 1: Marketing

More data = more targeted marketing = higher conversion rates

Example:

• Home address → mail coupons
• Email → promotional campaigns
• Phone → SMS offers
• Order history → personalized recommendations

The trade-off: Marketing value vs. breach liability

Reason 2: "Convenience"

Stored payment methods, saved addresses, persistent profiles make future orders faster.

The assumption: Customers want this

The reality: Many would prefer privacy over saving 30 seconds on checkout

Reason 3: Analytics

Understanding customer behavior requires historical data.

The question: Does analytics need PII, or would anonymized data work?

Reason 4: "We Might Need It Later"

"Maybe we'll want to analyze this someday" leads to indefinite data retention.

When building the CIAM platform, we implemented data minimization principles:

• Collect only what's necessary for current purpose
• Delete data when purpose is fulfilled
• Anonymize for analytics when possible
• Give users control over retention

The philosophy: Data you don't have can't be stolen.

The Cost-Benefit Analysis

Value of having 5.1M customer contact records:

• Marketing campaigns: Maybe 1-3% response rate
• Loyalty program: Small percentage of active users
• Analytics: Diminishing returns on old data

Cost when that data leaks:

• Brand damage: Incalculable
• Customer trust: Destroyed
• Regulatory fines: Potentially millions
• Class action lawsuits: Likely
• Customer churn: Significant
• PR crisis management: Expensive

The math doesn't favor data hoarding.

Yet companies continue collecting and storing everything "just in case."

What Makes This Breach Pattern Worse

The Panera breach isn't isolated. It's part of a trend that's accelerating in 2026:

Third-Party Attacks Are Dominating

Recent pattern:

• Panera: Likely third-party vendor
• Match Group: Third-party security incident
• Crunchbase: Third-party exposure
• Various healthcare: Third-party vulnerabilities

Why attackers target vendors:

Economies of scale:

• Compromise one vendor
• Access dozens of clients
• Exfiltrate data from multiple companies
• Maximize return on single attack investment

Weaker security:

• Vendors often have less mature security
• Smaller teams, smaller budgets
• Less monitoring and detection
• Slower incident response

Shared credentials:

• API keys used across multiple clients
• Administrative access to multiple databases
• Integration permissions rarely audited

When building the CIAM platform, we treated every vendor integration as a potential breach vector.

Third-party risk management:

• Security assessments before integration
• Least-privilege API access
• Continuous monitoring of vendor activity
• Automated alerts for unusual patterns
• Regular access reviews and revocations

Most companies don't do this. They grant broad access, trust the vendor, and never look again.

That's how breaches happen.

Free Public Leaks Are Increasing

Old model: Steal data, sell on dark web, make money

New model: Steal data, try extortion, leak for free if refused

Why the shift?

Extortion is more profitable:

• One payment of $100K-500K beats dark web sales
• Faster monetization
• Less legal risk than selling

Free leaks punish non-payers:

• Demonstrates willingness to follow through
• Creates pressure for future targets to pay
• Builds criminal reputation

Data has declining value:

• Once leaked, it's everywhere
• No exclusivity means no premium pricing
• Free distribution doesn't reduce value much

The result: More data breaches end in public leaks, not private sales.

This is worse for consumers because it means:

• More widespread distribution
• More criminals with access
• More long-term fraud risk
• Harder to limit exposure

Contact Data Is the New Target

Past breaches focused on:

• Credit card numbers
• Social Security numbers
• Passwords
• Financial account data

Current trend: Contact data theft

Why?

It's permanent:

• Names and addresses don't change
• Can't be "cancelled" like credit cards
• Remains valuable indefinitely

It's combinable:

• Contact data from one breach + SSN from another = identity theft toolkit
• Building comprehensive profiles across multiple datasets

It's less protected:

• Companies secure payment data (PCI-DSS requirements)
• Companies secure health data (HIPAA requirements)
• Contact data? Often just standard database security

It enables fraud:

• Phishing (using real names and addresses)
• Identity theft (with data from other breaches)
• Account takeovers (social engineering using contact info)

The shift from "valuable data" (credit cards) to "identity data" (contact info) changes the threat landscape.

When building the CIAM platform, we encrypted payment data and passwords as required.

We should have applied the same rigor to contact data. Because contact data is what makes every other breach worse.

What Actually Needs to Change

The Panera breach isn't solved by "better security." It's solved by fundamentally rethinking how companies handle customer data.

1. Data Minimization as Default

The principle: Collect only what you absolutely need for current purpose.

In practice for restaurants:

During transaction:

• Name for order (delete after pickup/delivery)
• Phone/email for notification (delete after order fulfilled)
• Payment info (tokenize, don't store actual numbers)

After transaction:

• Order history (anonymized, no PII linkage)
• Payment token (for refunds only, expire after 30 days)
• Nothing else

For loyalty programs:

• Only store what loyalty program requires
• Let users opt in, not default enrollment
• Clear data retention limits (not "forever")
• Easy deletion for users who leave program

The shift: From "collect everything, might use it later" to "collect minimum, delete when done"

2. Separation of Data and Analytics

Companies claim they need historical customer data for analytics.

The reality: Analytics doesn't need PII.

Better approach:

For analytics:

• Anonymized datasets (no names, emails, addresses)
• Aggregate statistics (not individual tracking)
• Derived insights (not raw PII)

For customer service:

• Order lookup by confirmation code (not stored customer profile)
• Transaction history without permanent account linkage
• Temporary data collection (deleted after resolution)

The benefit: Analytics value without breach liability.

When building the CIAM platform, we created separate data pipelines:

• PII for authentication and transactions (encrypted, access-controlled)
• Anonymized data for analytics (aggregated, no PII)
• Never combined these datasets

If a breach occurred, analytics data was useless to attackers because it contained no identifiable information.

3. Vendor Risk Management That Actually Works

Most companies have "vendor risk management" that consists of:

1. Vendor fills out security questionnaire (once)
2. Company reviews answers (maybe)
3. Integration proceeds
4. Never reviewed again

This doesn't work.

Better approach:

Before integration:

• Security assessment (not just questionnaire)
• Technical review of integration architecture
• Access audit (exactly what will vendor access?)
• Data flow mapping (where does data go?)

During integration:

• Least-privilege API access (minimum needed)
• Scoped credentials (limited to specific datasets)
• Rate limiting (prevent bulk downloads)
• Logging and monitoring (detect unusual activity)

After integration (ongoing):

• Quarterly access reviews
• Continuous security monitoring
• Automated anomaly detection
• Regular security reassessments
• Contract provisions for security requirements

When vendor changes:

• Re-assess security if vendor acquired
• Review if vendor experiences breach
• Revoke access if vendor can't meet standards

The principle: Vendor access is privilege that must be continuously earned, not permanent right granted once.

4. Encryption Everywhere, Always

Current practice: Encrypt payment data, maybe passwords, leave everything else in plaintext.

Better practice: Encrypt all PII at rest, always.

Implementation:

Database-level encryption:

• Names: Encrypted
• Emails: Encrypted
• Phones: Encrypted
• Addresses: Encrypted

Application-level access:

• Decrypt only when absolutely necessary
• Audit every decryption event
• Re-encrypt immediately after use

The benefit: If database is stolen, data is useless without encryption keys.

The challenge: Managing encryption keys securely.

The solution: Hardware security modules (HSMs), key rotation, access controls.

When building the CIAM platform, we encrypted all user data by default.

Our rule: If it's PII, it's encrypted. No exceptions.

This didn't prevent breaches, but it made stolen data far less useful to attackers.

5. Incident Response Beyond PR

Current pattern when breach occurs:

1. Discover breach (often months late)
2. Hire PR firm
3. Issue vague statement
4. Wait for story to blow over
5. Hope customers forget

Better approach:

Immediate:

• Transparent disclosure (what happened, what data, when)
• Specific user guidance (not generic "monitor your accounts")
• Free services (credit monitoring, identity theft protection)
• Direct communication (email every affected user)

Short-term:

• Regular updates as investigation continues
• Clear timeline for resolution
• Accountability (what went wrong, who's responsible)
• Remediation plan (how you're fixing it)

Long-term:

• Architecture changes (not just patches)
• Third-party audit and certification
• Public commitment to data minimization
• Regular transparency reports

The goal: Rebuild trust through action, not spin.

Panera's vague "cybersecurity incident" statement doesn't cut it. Users deserve details.

What Users Should Do Right Now

If you're one of the 5.1 million Panera customers affected (or might be), here's your action plan:

Immediate Actions

1. Check if you're affected

Visit: haveibeenpwned.com

Enter your email address. Look for "Panera Bread" in results.

If affected, assume attackers have:

• Your name
• Your email address
• Possibly your phone number
• Possibly your home address

2. Prepare for targeted phishing

Expect scams using:

• Your real name
• Panera branding
• References to "recent orders" or "account issues"
• Urgent calls to action ("verify now or account suspended")

Red flags:

• Emails asking you to click links
• Unexpected calls claiming to be Panera
• Requests for passwords or payment info
• Urgency and threats

Verify independently: If "Panera" contacts you, don't click links or call numbers provided. Go directly to panera.com or call official customer service.

3. Monitor for fraud

Contact data enables:

• Account takeover attempts (using your email/phone for password resets)
• Identity theft (combined with data from other breaches)
• Targeted scams (using your real information)

Monitor:

• Credit reports (free from annualcreditreport.com)
• Financial accounts (watch for unauthorized charges)
• Email for suspicious password reset attempts
• Phone for unexpected verification codes

4. Update critical accounts

For accounts using same email as Panera:

• Enable 2FA (authenticator app, not SMS)
• Review recent login activity
• Update passwords if weak or reused

Don't use:

• SMS for 2FA (phone number may be leaked)
• Email-only recovery (email is compromised)

Do use:

• Authenticator apps (Google Authenticator, Authy, 1Password)
• Hardware security keys (YubiKey, Titan)
• Backup codes (stored securely offline)

Ongoing Protection

5. Assume long-term exposure

Your leaked contact data will circulate on dark web forums for years.

Permanent vigilance:

• Skeptical of unsolicited emails (even if they look real)
• Verify callers independently (don't trust caller ID)
• Question unexpected mail (even if it looks official)

The mindset shift: "Panera knows my info" becomes "criminals know my info."

6. Consider email aliases

For future accounts:

• Use unique email per service (Gmail supports aliases: [email protected])
• Makes it easier to identify which service leaked your data
• Allows you to shut down compromised addresses

Example:

• [email protected] for Panera
• [email protected] for Amazon
• [email protected] for banking

When breach occurs: Disable the specific alias, not your entire email.

7. Request deletion

Contact Panera and request:

• Account deletion
• Complete data erasure
• Confirmation of deletion

Reality: This won't un-leak the data, but it reduces future exposure from additional Panera breaches.

8. Support legislation

Contact representatives supporting:

• Mandatory data minimization requirements
• Breach notification timelines
• Consumer rights to deletion
• Penalties for excessive data collection

Individual action is limited. Systemic change requires regulation.

The Bigger Pattern: Data Is Liability

The Panera breach teaches one critical lesson: every piece of customer data is permanent liability.

When building the CIAM platform, we developed a framework for evaluating data collection:

The Data Liability Matrix

For each data point, ask:

1. Do we need this?

• For what specific purpose?
• Is there an alternative that doesn't require PII?
• Can we use temporary data instead of permanent storage?

2. How long do we need it?

• Delete immediately after purpose fulfilled?
• Retain for specific period (30 days, 1 year)?
• Or store indefinitely (be honest about "why")?

3. What's the breach impact?

• If leaked, what harm to customers?
• What's our liability (legal, financial, reputational)?
• Can we mitigate through encryption, anonymization?

4. What's the value vs. risk?

• Business value of having this data?
• Risk if data is stolen?
• Does value exceed risk?

If risk exceeds value: Don't collect it.

The Panera Case Study

Data point: Home address

Do we need it?

• For delivery: Yes (during transaction)
• For pickup: No
• After order fulfilled: No

How long?

• During order: Yes
• After delivery/pickup: Delete immediately

Breach impact:

• Enables mail fraud
• Combines with other breaches for identity theft
• Can't be changed if compromised

Value vs. risk:

• Value: Marketing mailings (low response rate)
• Risk: Permanent customer exposure
• Verdict: Delete after transaction

If Panera had followed this framework:

• Collect address for delivery orders
• Delete immediately after delivery
• Never store in permanent customer database

Result of breach: Recent delivery addresses leaked (last 24-48 hours), not years of historical data.

Impact: Minimal vs. catastrophic.

The Bottom Line

Panera Bread's breach exposed 5.1 million customer records. ShinyHunters tried to extort payment, failed, and leaked everything publicly for free.

The data seems minor: Just names, emails, phones, addresses. No payment cards. No passwords.

The reality is severe: Contact data is permanent, enables convincing fraud, compounds with other breaches, and creates lifetime exposure.

The pattern is accelerating: Third-party attacks, data extortion business model, free public leaks when extortion fails.

What needs to change:

For companies:

• Data minimization as default (collect only what's needed)
• Delete data immediately after purpose fulfilled
• Encrypt all PII, always
• Serious vendor risk management
• Honest breach disclosure

For users:

• Check Have I Been Pwned
• Prepare for targeted phishing using your real information
• Enable 2FA on critical accounts (authenticator apps, not SMS)
• Assume long-term exposure from contact data leaks
• Support data privacy legislation

For the industry:

• Regulation requiring data minimization
• Penalties for excessive data collection
• Mandatory encryption of all PII
• Vendor liability for security failures
• Consumer rights to deletion and transparency

The Panera breach isn't about Panera. It's about a broken system where companies collect everything, store it forever, and users pay the price when it inevitably leaks.

The question every company should ask: Do we need this data enough to justify the permanent liability we're creating?

For Panera's 5.1 million affected customers, the answer is clear: they collected data they didn't need, stored it longer than necessary, and customers will pay the price for years.

The breach you prevent through data minimization is always cheaper than the breach you respond to after the fact.

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Key Takeaways

• Panera breach exposed 5.1M users via ShinyHunters' extortion model: steal, demand payment, leak when refused
• Contact data (names, emails, phones, addresses) creates permanent exposure—can't be changed like passwords
• ShinyHunters leaked data publicly for free to maximize damage and punish non-payment
• Third-party vendor vulnerabilities likely entry point (not Panera's core systems)
• Contact data enables convincing phishing using victims' real names, locations, order history
• Leaked contact data compounds with other breaches (AT&T SSNs + Panera addresses = identity theft toolkit)
• Data minimization failure: Panera stored permanent records when temporary collection would suffice
• Every data point is permanent liability—collect only what's needed, delete after purpose fulfilled
• Third-party attacks dominating 2026 breaches (compromise one vendor, access dozens of clients)
• Users should: check Have I Been Pwned, expect targeted phishing, enable 2FA with authenticator apps, assume long-term exposure
• Companies need: data minimization as default, immediate deletion after transactions, encryption of all PII, serious vendor risk management
• Framework: For each data point ask: Do we need it? How long? What's breach impact? Value vs. risk?
• Panera's vague "cybersecurity incident" statement inadequate—users deserve specific details

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Building systems that handle customer data responsibly? My Customer Identity Hub covers data minimization principles, CIAM best practices, and zero-trust architecture that treat data as liability, not just asset.

Need help with AI visibility for your B2B SaaS? GrackerAI helps cybersecurity and B2B SaaS companies get cited by ChatGPT, Perplexity, and Google AI Overviews through Generative Engine Optimization.

Deepak Gupta is the co-founder and CEO of GrackerAI. He previously founded a CIAM platform that scaled to serve 1B+ users globally. He writes about AI, cybersecurity, and digital identity at guptadeepak.com.

*** This is a Security Bloggers Network syndicated blog from Deepak Gupta | AI & Cybersecurity Innovation Leader | Founder's Journey from Code to Scale authored by Deepak Gupta - Tech Entrepreneur, Cybersecurity Author. Read the original post at: https://guptadeepak.com/paneras-5-1-million-user-breach-when-no-hack-becomes-a-ransomware-business-model/