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Ransomware groups are using AI to make attacks faster, more convincing and easier to scale—not necessarily to run them autonomously. Reported and advertised uses include writing phishing messages, researching vulnerabilities, analyzing stolen data, creating convincing impersonations and assisting with ransom communications. The pressure can continue even if an organization restores its files: attackers may threaten to publish stolen records, contact customers or employees, or damage the victim’s reputation.
What changed in the way ransomware groups pressure victims?
Ransomware began, in its familiar form, as an attack that encrypted files and demanded payment for a decryption key. Many modern attacks add data theft and public or direct threats to that basic model. Operators may steal information before encrypting systems, or skip encryption and use the threat of disclosure alone. This gives them leverage even when a victim has backups.
The pressure can extend beyond a ransom note. Attackers may publish stolen data on a leak site, set a countdown, call the organization, criticize it publicly, threaten to report it to regulators, or contact employees and customers. The Canadian Centre for Cyber Security describes countdowns, direct calls, public criticism and threats involving reporting obligations as tactics used by ransomware actors. CISA’s advisory on the Play ransomware group describes data exfiltration before encryption and telephone threats to release stolen information.
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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteSome groups and services are also trying to make the threat more disruptive. Check Point reported that Qilin offered services to prepare regulatory complaints, contact customers or employees, and flood corporate communication channels. These are pressure tactics, not proof that the group’s operations are controlled by AI. They show how extortion can become a coordinated reputational and operational crisis rather than a demand for a decryption key alone.
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Where does AI fit into a ransomware attack?
AI is best understood as an accelerator across parts of an attack, not as evidence that a criminal group has built an entirely autonomous ransomware system. Public reporting and advertised RaaS capabilities point to several uses, but they do not establish that every group uses them or that AI caused a particular ransom payment.
Writing and tailoring social-engineering messages
Generative AI can help produce fluent phishing emails, spearphishing messages and other social-engineering material. Australia’s Australian Cyber Security Centre (ACSC) says criminals use generative AI to create spearphishing emails, convincing websites, videos, voices and KYC records. More polished language can make a fraudulent message less conspicuous, while tailoring can make it seem relevant to a specific employee or organization.
AI can also help attackers process information about a target. For example, summarizing public filings, employee information or stolen records could help an operator identify financial, legal or reputational pressure points and write a more targeted demand. That is a credible way to increase personalization, but claims that ransomware groups routinely use automated “dynamic pricing” are not established by the reporting summarized here.
Researching vulnerabilities and handling stolen data
The Canadian Centre for Cyber Security assesses that generative AI is being used in malware development, vulnerability research, social engineering, deepfakes and automated negotiations. The ACSC also reports that criminals use GenAI to analyze large stolen datasets. That analysis can help an attacker identify sensitive or damaging material to cite in a threat, although the specific degree of automation will vary.
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Speed matters because the response window may be short. Palo Alto Networks’ Unit 42 found data exfiltration within the first hour of compromise in nearly one in five cases it handled. That is a finding about the cases Unit 42 handled, not a universal rate for all ransomware incidents. It nevertheless explains why waiting to confirm whether encryption has begun can be costly: data may already have left the network.
Impersonating people and institutions
Cloned voices, synthetic video and realistic documents can make a call or message appear to come from an executive, regulator, customer or other trusted contact. Attackers can use impersonation before encryption to seek access or credentials, and after theft to make a disclosure threat feel more immediate. The existence of these capabilities does not mean every suspicious call is AI-generated; it means identity should be verified through a separate, trusted channel.
Supporting negotiation and harassment
Google Threat Intelligence reported that some ransomware-as-a-service (RaaS) offerings advertised AI-assisted victim analysis, communications or chatbots. Check Point documented “AI-powered negotiation support” in Global Group promotional material. These are reports of advertised or described features; they do not show that all negotiations are conducted by bots or that an automated system independently sets the ransom.
AI assistance can coexist with human operators. A tool might help summarize a victim’s situation or draft communications while people decide what to demand, make threats and handle exceptions. Conversely, a chatbot or automated workflow could handle some exchanges. The evidence supports the existence of AI-assisted offerings, not a blanket claim that ransomware negotiations have become fully automated.
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How do encryption-and-theft attacks differ from data-theft-only extortion?
Both models use stolen information as leverage, but encryption adds a direct availability crisis. In data-theft-only extortion, the attacker’s primary threat is disclosure; restoring from backups may not remove that threat.
| Attack model | What the victim faces | What a backup can address | What remains to manage |
|---|---|---|---|
| Encryption plus data theft | Systems or files may be unavailable, and stolen data may be threatened for publication. | A usable, isolated backup may support restoration of systems and files. | Stolen-data exposure, attacker access, legal and communications decisions, and possible contact with third parties. |
| Data-theft-only extortion | The attacker threatens to publish or use stolen information without relying on encryption to disrupt access. | Backups can help availability if systems are affected, but they do not retrieve or erase data already stolen. | Containment, understanding what was accessed, and handling disclosure threats and affected people. |
This distinction matters when setting priorities. A successful restore can reduce an attacker’s leverage over availability, but it cannot by itself neutralize a leak-site threat. An incident plan needs both recovery procedures and a way to make timely decisions about data exposure, legal obligations and communications.
How large is the ransomware problem?
Ransomware remains a substantial threat, but the figures below measure different things and should not be treated as interchangeable. They do not show that AI caused the incidents, payments or business disruption.
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- CTIIC identified $75 million as the largest known cyber ransom, paid to Dark Angels in an extortion attack on a Fortune 50 company. This is the largest known payment cited in that 2025 reporting, not an estimate of a typical ransom.
- Unit 42 reported that 86% of the incidents it handled in 2024 involved business disruption. This describes Unit 42’s incident caseload, not the share of all worldwide ransomware attacks.
- Check Point Research, citing Coveware, estimated a global ransomware payment rate of 25–27% in the second quarter of 2025. It is an estimate for that quarter, not a permanent rate or a prediction for an individual victim.
What should a company do when attackers threaten employees or customers?
Treat the threat as an incident involving systems, data and people. Do not assume that restoring files resolves the exposure, and do not let an unverified call or message dictate action. A prepared response team should coordinate technical containment with legal, communications and customer-contact decisions.
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Contain access and preserve visibility
- Activate the incident-response plan and involve the people responsible for security, IT, legal advice, communications and business operations.
- Use identity and endpoint controls, network segmentation and available cloud and endpoint logs to investigate access and limit lateral movement. Preserve relevant logs and incident details for the response.
- Verify apparent calls or messages from executives, regulators or customers through a known, separate contact method. Do not use contact details supplied in the threatening message as the verification route.
- Establish what systems and data may be affected before making public or customer-facing claims. Avoid promising that information was not taken unless the investigation supports that statement.
Make decisions about exposure and communication
Threats to contact customers or employees can create confusion and reputational harm even before a leak occurs. Decide who is authorized to communicate, how reports from affected people will be collected, and how employees can verify legitimate internal updates. Legal and communications teams should be involved in assessing regulatory or notification obligations; the attacker’s threat to report the organization is not a substitute for the organization’s own assessment.
Do not treat a countdown as a reliable deadline for deciding whether to pay. It is part of the attacker’s pressure strategy. Keep a record of demands and communications, and make decisions through the incident-response process rather than through an improvised exchange by an individual employee.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Which defenses reduce attacker leverage?
No single control addresses every part of a ransomware incident. Isolated backups help restore availability; identity, patching, segmentation and monitoring help prevent or constrain compromise; access controls and rapid containment help limit data exposure. The strongest preparation combines them.
| Control | What it helps reduce | What it does not solve alone |
|---|---|---|
| Offline or isolated backups, with tested restoration | Dependence on attackers to restore encrypted systems; uncertainty about recovery. | Publication threats involving data already stolen. |
| Multi-factor authentication (MFA) and identity controls | Some account-compromise paths and excessive access. | Every route into an organization or misuse of an already compromised session. |
| Prompt patching of operating systems, software and firmware | Exposure to known vulnerabilities that have been fixed by vendors. | Social engineering, stolen credentials or vulnerabilities without an available fix. |
| Network segmentation and least privilege | Unrestricted movement between systems and access beyond what a user or service needs. | Initial compromise or data already exfiltrated. |
| Cloud and endpoint-log monitoring | Delayed detection of suspicious access or activity. | Incidents that are not visible in the logs retained or monitored. |
| Data-loss prevention and access controls | Some unauthorized access or movement of sensitive information. | All forms of data theft, or information already taken before controls were effective. |
Backups should be isolated from ordinary network access and restoration should be tested, rather than assumed to work. A backup that attackers can reach or that cannot be restored under pressure offers less recovery confidence. CISA, the FBI and Australia’s cyber-security authorities recommend offline backups as part of ransomware resilience; that recommendation complements, rather than replaces, controls against intrusion and data theft.
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What should readers conclude about AI and ransomware?
AI can make existing pressure tactics more scalable, personalized and believable. It can assist with phishing, vulnerability research, stolen-data analysis, impersonation and communications, while human operators may still select targets, make decisions and carry out extortion. Reporting on promotional features and early uses is meaningful, but it does not prove that every group uses AI or that a fully autonomous ransomware agent is the norm.
The practical implication is to prepare for pressure on more than files: stolen data, employee trust, customer confidence and response time all matter. Restoration reduces one form of leverage; rapid containment, identity security, segmentation, monitoring and a coordinated communication plan address others.
Frequently Asked Questions
Can AI write ransomware code by itself?
The cited assessments describe AI use in malware development and other parts of criminal operations, but they do not establish that AI independently creates, deploys and manages ransomware end to end. A capability to assist with code is different from an autonomous attack operation.
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Should a company pay a ransomware demand if attackers threaten to leak data?
The material here does not establish a universally safe or effective payment decision. Payment cannot guarantee deletion of stolen data or prevent later contact with employees and customers, so organizations should make the decision through their incident-response, legal and leadership processes.
Can a company stop attackers from contacting its customers?
An organization may be able to warn customers through trusted channels and explain how to verify genuine communications, but it cannot assume it can prevent criminals from sending messages or publishing information. Planning clear, authorized communications can reduce confusion if attackers make contact.
Are AI-generated executive calls a reason to distrust every urgent phone request?
Urgency alone does not prove a call is synthetic, but high-impact requests should be verified independently, especially requests involving credentials, money or sensitive data. Use a known number or established internal process rather than a callback number supplied by the caller.
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