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Why Cynet
Our Valued Partners
Industry Validation
Platform
Solutions
Prevent, detect, and remediate threats automatically.
Detect and isolate suspicious traffic instantly.
Identify misconfigurations and risks before attackers do.
Block phishing and malicious attachments.
Extend protection to every device.
Stop credential theft and lateral movement.
Pre-built playbooks and automated workflows that reduce manual effort.
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A cyber attack is any deliberate attempt by an unauthorized actor to compromise the confidentiality, integrity, or availability of a computer system, network, or data. Cyber attacks can target individuals, businesses, governments, and critical infrastructure. Their goals range from financial gain and espionage to disruption and sabotage.
According to IBM’s Cost of a Data Breach Report, the average cost of a data breach reached $4.4 million in 2025. With attack frequency rising year over year, understanding what cyber attacks are, how they work, and how to defend against them is critical for any organization.
The threat landscape has expanded dramatically due to several converging forces, and artificial intelligence is now amplifying each of them.
The explosion of remote work increased the number of endpoints organizations must protect. The migration to cloud infrastructure introduced new identity and configuration vulnerabilities. The rise of Ransomware-as-a-Service (RaaS) platforms means even technically unsophisticated actors can launch enterprise-grade attacks.
Now, AI has added a force multiplier. Threat actors are using generative AI and automation to accelerate reconnaissance, craft highly convincing phishing lures, write polymorphic malware, and scale social engineering campaigns with unprecedented speed and personalization. What once required skilled operators and weeks of preparation can now be executed in hours.
Four structural factors are driving the growth in attack volume:
Every cloud workload, remote device, SaaS application, API, and third-party integration is a potential entry point. The average enterprise now operates across hundreds of cloud services, many outside centralized visibility. AI-powered discovery tools allow attackers to continuously scan and prioritize exposed assets at machine speed.
Exploit kits, phishing-as-a-service platforms, credential stuffing tools, and pre-built malware are available on dark web marketplaces for a few hundred dollars. AI lowers the barrier even further by enabling automated exploit development, deepfake-enabled impersonation, and adaptive malware that modifies itself to evade detection. The skill threshold for launching sophisticated campaigns has collapsed.
Generative AI enables attackers to produce grammatically flawless, context-aware phishing emails tailored to specific industries, executives, or even ongoing business conversations. Voice cloning and deepfake video add another layer of credibility. This dramatically increases click-through rates and credential theft success.
Global cybercrime is projected to cost the world more than $12 trillion annually by 2031. Ransomware alone generates billions in ransom payments each year, funding increasingly sophisticated operations. AI improves operational efficiency for threat groups, from automating victim triage to optimizing ransom negotiation strategies, making cybercrime both scalable and highly lucrative.
Understanding how attacks work is the first step to defending against them. Below are the most prevalent attack categories organizations face today.
What it is: Malware (malicious software) is an umbrella term for any program designed to damage, disrupt, or gain unauthorized access to a system. It includes viruses, worms, Trojans, spyware, adware, and keyloggers.
How it works: Malware typically arrives via phishing emails, malicious downloads, infected USB drives, or drive-by downloads from compromised websites. Once executed, it can steal data, open backdoors, destroy files, or enlist the device into a botnet.
Why it matters: malware is often delivered via email, making it a common attack vector for initial compromise. Emotet, one of the most prolific malware strains ever observed, evolved from a banking trojan into a full-featured dropper capable of deploying other malware families including ransomware.
How to defend against it: Deploy endpoint detection and response (EDR) solutions, enforce email filtering, and keep all software patched. Behavioral detection is essential. Signature-based antivirus alone cannot catch modern, polymorphic malware.
What it is: Ransomware is a type of malware that encrypts a victim’s files and demands payment (typically in cryptocurrency) in exchange for the decryption key.
How it works: Most ransomware attacks follow a predictable kill chain. The attacker gains initial access (often via phishing or compromised credentials), moves laterally through the network to maximize the scope of encryption, exfiltrates sensitive data for leverage, then deploys the ransomware payload.
Modern ransomware groups use double extortion: they encrypt files AND threaten to publish stolen data on a “leak site” if the ransom isn’t paid. Some groups have moved to triple extortion, also threatening victims’ customers or partners directly.
Why it matters: The average cost of a ransomware attack on a business is $5.08 million (IBM, 2025), including downtime, ransom, recovery costs, and reputational damage. Healthcare, manufacturing, and education are disproportionately targeted.
Notable examples: Ryuk, Clop, LockBit, BlackCat/ALPHV, REvil
How to defend against it: Offline, immutable backups are the single most effective technical control. Combine with network segmentation (to limit lateral movement), privileged access management (PAM), and 24/7 monitoring.
What it is: Phishing attacks use deceptive emails, messages, or websites to trick users into revealing credentials, downloading malware, or transferring funds. Spear-phishing is a targeted variant that uses personalized information to appear more convincing.
How it works: A standard phishing campaign casts a wide net — millions of emails impersonating banks, shipping companies, or IT departments. Spear-phishing narrows the target to specific individuals (typically executives or finance staff) and incorporates personal details harvested from LinkedIn, social media, or prior breaches.
Why it matters: Phishing is the #1 initial access vector. The FBI’s Internet Crime Complaint Center (IC3) consistently ranks phishing as the most reported cybercrime in the US. Business Email Compromise (BEC), a phishing sub-category, costs organizations billions in losses every year.
How to defend against it: Multi-factor authentication (MFA) limits the damage from stolen credentials. Email security gateways with URL rewriting and sandboxing catch malicious links. Security awareness training measurably reduces click rates on simulated phishing tests.
What it is: Supply chain attacks compromise a victim by targeting a trusted third-party vendor, software update mechanism, or open-source dependency rather than attacking the victim directly.
How it works: Attackers infiltrate a software vendor or managed service provider, inject malicious code into a legitimate product or update, and then leverage that trust relationship to spread to all downstream customers simultaneously.
Why it matters: Supply chain attacks are among the hardest to detect because they exploit implicit trust. A single vendor compromise can affect thousands of organizations at once, amplifying both impact and attacker ROI.
Notable example: The SolarWinds SUNBURST attack (2020) remains the most consequential supply chain attack on record. Attackers compromised SolarWinds’ build pipeline and distributed a trojanized update for the Orion platform to approximately 18,000 organizations, including US federal agencies. The backdoor communicated with attacker-controlled C2 servers and remained undetected for months.
How to defend against it: Adopt a zero-trust architecture that doesn’t automatically trust software from vendors. Monitor for anomalous behavior from trusted processes. Implement software bill of materials (SBOM) practices to track third-party dependencies.
What it is: A DDoS attack floods a target server, network, or service with traffic from multiple sources simultaneously, overwhelming capacity and rendering it unavailable to legitimate users.
How it works: Attackers typically use a botnet (a network of compromised devices) to generate massive volumes of traffic. Attack types include volumetric attacks (bandwidth exhaustion), protocol attacks (TCP/SYN floods), and application-layer attacks (HTTP floods targeting specific functions).
Why it matters: DDoS attacks can take down e-commerce sites, financial services, DNS infrastructure, and critical services for hours or days. Beyond direct revenue loss, they’re increasingly used as a distraction while attackers conduct a secondary, more targeted intrusion.
How to defend against it: DDoS mitigation services (e.g., Cloudflare, Akamai) provide always-on scrubbing. On-premises solutions include rate limiting, traffic shaping, and IP reputation filtering. Incident response plans should account for DDoS as a potential smokescreen.
What it is: In a MitM attack, an attacker secretly intercepts and potentially alters communications between two parties who believe they are communicating directly with each other.
How it works: Common techniques include ARP spoofing (poisoning a local network’s address resolution table), DNS spoofing (redirecting domain lookups), SSL stripping (downgrading HTTPS to HTTP), and rogue Wi-Fi access points in public spaces.
Why it matters: MitM attacks can capture session tokens, credentials, and sensitive data in transit without the victim’s knowledge. Telecom-level SS7 protocol attacks represent a particularly sophisticated variant — attackers exploit weaknesses in legacy signaling protocols to intercept SMS-based two-factor authentication codes.
How to defend against it: Enforce HTTPS everywhere with HSTS. Use certificate pinning for mobile apps. Deploy VPNs for remote workers. Move away from SMS-based MFA toward authenticator apps or hardware keys.
What it is: SQL injection is a code injection attack in which malicious SQL queries are inserted into an input field to manipulate a backend database.
How it works: If an application passes user input directly to a database query without proper validation, an attacker can manipulate the query logic. This can expose all records in a database, bypass authentication, modify or delete data, and in some cases execute operating system commands.
Why it matters: SQLi has appeared in the OWASP Top 10 for over 15 years. Despite being well-understood, it remains one of the most common causes of data breaches because it requires no special tools — just a browser and knowledge of the technique.
How to defend against it: Use parameterized queries and prepared statements. Apply the principle of least privilege to database accounts. Deploy a web application firewall (WAF) as a secondary defense layer.
What it is: A zero-day exploit targets a vulnerability in software or hardware that is unknown to the vendor (meaning there are “zero days” of advance warning and no patch available).
How it works: Threat actors discover vulnerabilities through security research, purchase them on exploit markets, or obtain them through intelligence operations. Nation-state actors maintain stockpiles of undisclosed zero-days for use in targeted espionage campaigns.
Why it matters: Zero-days are particularly dangerous because traditional patch-based defenses are ineffective. High-value zero-days can sell for millions of dollars on both legal (government) and illegal markets.
How to defend against it: Defense-in-depth is the only realistic strategy. Assume any software can be compromised and layer controls accordingly: network segmentation, application allowlisting, behavioral analytics, and rapid response capabilities.
What it is: These attacks target user credentials and identity systems to gain authenticated access without exploiting any technical vulnerability — the attacker simply logs in.
How it works: Common techniques include credential stuffing (using breached username/password pairs against other services), password spraying (trying common passwords against many accounts), brute force attacks, and Pass-the-Hash / Pass-the-Ticket attacks that abuse Windows authentication protocols.
Why it matters: Credentials are the most traded commodity on the dark web. With billions of username/password pairs exposed in prior breaches, credential stuffing attacks can succeed at scale with minimal effort. Identity-based attacks are also harder to detect because they generate legitimate-looking authentication activity.
How to defend against it: Enforce MFA on all accounts. Implement Identity Threat Detection and Response (ITDR) capabilities. Monitor for impossible travel, off-hours logins, and anomalous access patterns. Regularly audit and rotate privileged credentials.
What it is: Social engineering manipulates people rather than systems, exploiting psychological tendencies like authority, urgency, fear, and reciprocity to trick individuals into taking harmful actions.
How it works: Techniques include pretexting (creating a fabricated scenario to extract information), vishing (voice phishing), smishing (SMS phishing), baiting (leaving infected USB drives in public spaces), and quid pro quo attacks (offering something valuable in exchange for credentials or access).
Why it matters: The human element remains the weakest link in most security programs. Even technically sophisticated attacks typically begin with a social engineering component to establish initial access. AI-generated deepfakes are making voice and video-based social engineering increasingly convincing.
How to defend against it: Regular security awareness training, simulated phishing and vishing exercises, and a strong reporting culture are the primary defenses. Technical controls (MFA, out-of-band verification for sensitive requests) limit the blast radius when social engineering succeeds.
Examining high-profile incidents reveals how attack types combine in practice and what defenders can learn.
One of the most striking examples of how a single phone call can bring down a $33 billion company, the MGM Resorts breach began not with malware or a zero-day — but with a ten-minute conversation.
In September 2023, the threat group Scattered Spider (UNC3944) identified an MGM employee on LinkedIn, called MGM’s IT help desk while impersonating that employee, and successfully convinced support staff to reset the account credentials. That vishing call handed the attackers administrator-level access to MGM’s Okta and Azure Active Directory environments. They then deployed BlackCat/ALPHV ransomware across more than 100 ESXi hypervisors within the network.
The operational fallout was immediate and highly visible. Slot machines across Las Vegas properties displayed error messages. Digital room keys stopped working. ATMs went offline. Online reservations and the MGM app became inaccessible. In some properties, staff reverted to handwritten receipts for casino winnings. The disruption lasted approximately ten days and resulted in an estimated $100 million hit to MGM’s third-quarter results, including roughly $84 million in lost revenue and $10 million in one-time remediation costs.
The breach also exposed the personal data of customers who had transacted with MGM before March 2019 — including names, contact details, gender, dates of birth, driver’s license numbers, and for a limited number of individuals, Social Security numbers and passport details.
Notably, MGM refused to pay the ransom. Its rival Caesars Entertainment, hit by the same group in the same week, reportedly paid approximately $15 million to prevent stolen data from being published.
By 2025, MGM had launched a class-action settlement program addressing both this incident and a prior 2019 breach, and US prosecutors had unsealed criminal charges against five alleged Scattered Spider members.
Key lesson: Social engineering bypasses every technical control. A help desk employee with no security awareness training can hand an attacker the keys to the entire enterprise. Identity verification procedures for sensitive account changes — including out-of-band confirmation — are not optional. MFA on identity platforms like Okta must be hardened against social engineering, not just credential stuffing.
The Covenant Health breach is a textbook example of how ransomware attacks against healthcare providers unfold — and how dramatically initial breach disclosures can understate the true patient impact.
On May 18, 2025, attackers affiliated with the Qilin ransomware group gained unauthorized access to the IT environment of Covenant Health, a Catholic health network operating hospitals and clinics across Massachusetts, Maine, New Hampshire, Pennsylvania, Rhode Island, and Vermont. The intrusion went undetected for eight days. During that window, the group conducted reconnaissance, moved laterally through the network, escalated privileges, and exfiltrated approximately 852 GB of data comprising roughly 1.35 million files. They then deployed ransomware to encrypt systems and disrupt operations at multiple facilities, including St. Joseph Hospital and St. Mary’s Health System in Maine.
Covenant Health initially disclosed the breach to regulators in July 2025, reporting approximately 7,900 affected individuals. By December 31, 2025 — after completing its forensic investigation — the organization revised that figure to 478,188 patients, a nearly 6,000% increase from the original disclosure.
The exposed data included names, addresses, dates of birth, medical record numbers, Social Security numbers, health insurance information, and treatment details such as diagnoses, dates of service, and types of care received. When Covenant did not pay the ransom, Qilin published the stolen data on its dark web leak site.
Key lesson: Healthcare organizations are disproportionately targeted because patient data is highly valuable and operational disruption creates maximum pressure to pay. The Covenant breach also highlights a systemic problem with breach notification timelines — the gap between initial disclosure and the true scope being confirmed was nearly six months, leaving hundreds of thousands of patients without timely notice. Organizations must invest in the forensic capabilities and incident response processes needed to accelerate accurate scoping.
The Salesloft Drift breach of August 2025 is one of the most consequential SaaS supply chain attacks ever documented, affecting hundreds of organizations simultaneously — including Cloudflare, Google, Palo Alto Networks, Zscaler, HackerOne, and Workday — through a single compromised third-party integration.
The attack, attributed to threat actor UNC6395, began months earlier. Between March and June 2025, the attackers compromised Salesloft’s GitHub environment, gained a foothold in the infrastructure of Drift (an AI chat agent Salesloft acquired in 2024), and stole the OAuth tokens Drift used to connect to its customers’ Salesforce CRM instances. OAuth tokens are long-lived authentication credentials that allow one application to act on behalf of another without requiring a username or password — and critically, they are not protected by MFA.
Between August 8 and 18, 2025, UNC6395 used those stolen tokens to impersonate the trusted Drift application and systematically run bulk data export queries across the Salesforce environments of more than 700 organizations. The attacker queried Salesforce objects including Accounts, Contacts, Cases, Users, and Opportunities — exfiltrating large volumes of business data, support case content, and sales records. After exfiltration, the group actively scanned the stolen data for embedded secrets: AWS access keys, Snowflake tokens, VPN credentials, and API keys that could be used to pivot into victim environments and expand the attack.
On August 20, Salesforce revoked all Drift OAuth tokens and removed the Drift application from its AppExchange. A forensic investigation by Mandiant confirmed the breach was contained within the Drift application environment and the core Salesloft platform had not been compromised for data exfiltration.
Key lesson: This attack did not exploit a vulnerability in Salesforce itself — it exploited trust. By impersonating a legitimate, widely-used integration, the attacker’s traffic blended seamlessly into normal API activity and bypassed conventional security controls. The breach underscores that OAuth tokens must be treated as high-value credentials, third-party SaaS integrations require continuous monitoring and periodic access reviews, and the implicit trust organizations extend to connected applications is a significant and underappreciated attack surface. In a SaaS-first world, identity is the new perimeter — and every integration is a potential entry point.
No organization is immune to cyber attacks, but certain sectors and profiles are disproportionately targeted.
Healthcare is a perennial top target due to the value of health records (which command higher prices than financial data on criminal markets), the criticality of uptime (creating ransomware leverage), and historically underfunded security programs.
Financial services attract financially motivated attackers seeking direct access to funds and payment systems. Regulatory complexity also creates compliance-driven attack surfaces.
Critical infrastructure (including energy, water, transportation, government and manufacturing) is targeted by nation-state actors seeking geopolitical leverage and by ransomware groups exploiting operational technology (OT) environments.
SMBs are often targeted precisely because they’re perceived as easier victims. They may also serve as stepping stones to larger targets through their supply chain relationships.
Government and defense organizations are targeted for espionage, intelligence collection, and strategic disruption.
Research consistently shows that 80% of data breaches can be prevented with foundational security practices. The following controls have the highest return on investment for most organizations.
Cynet’s unified, AI-powered platform consolidates the critical capabilities organizations need to prevent, detect, and respond to cyber attacks — without the complexity of managing a fragmented security stack.
Endpoint Security (EDR/NGAV): Stops known and unknown malware using AI-driven behavioral analysis, preventing ransomware, fileless attacks, and zero-day exploits at the endpoint level.
Network Security: Provides network traffic analysis and anomaly detection to identify lateral movement, data exfiltration, and command-and-control communications in real time.
Identity Security (ITDR): Detects credential theft, account takeover, and privilege escalation by monitoring authentication behavior and flagging anomalies that indicate identity-based attacks.
SaaS & Cloud Security (SSPM/CSPM): Identifies misconfigurations, excessive permissions, and risky activity across cloud workloads and SaaS applications before attackers exploit them.
24/7 MDR (CyOps): Cynet’s team of security analysts monitors your environment around the clock, triaging alerts, hunting for threats, and responding to incidents — extending your security team without adding headcount.
Automated Response: Pre-built and customizable response playbooks contain threats automatically, from isolating infected endpoints to blocking malicious IPs, reducing the time attackers have to operate in your environment.
A cyber attack is a malicious attempt to access, steal, damage, or destroy computer systems, networks, or data. Common types include malware, phishing, ransomware, DDoS attacks, and supply chain attacks. Organizations can defend against them through patch management, multi-factor authentication, employee training, and endpoint detection and response (EDR) solutions.
Phishing is consistently the most common initial access vector, accounting for more than 36% of data breaches (Verizon DBIR, 2023). Malware delivery and credential theft follow closely. Ransomware, while not always the most frequent, causes the most financial damage.
A cyber attack is the broader term for any malicious action against a digital system. A data breach is a specific outcome of some cyber attacks — when sensitive, confidential, or protected data is accessed or exposed without authorization.
The average time to identify a data breach is 194 days, with an additional 64 days to contain it (IBM, 2024). Organizations with advanced detection and response capabilities — including AI-assisted analytics and MDR services — significantly shorten this dwell time.
Yes. SMBs are frequently targeted, often because they have weaker security controls than large enterprises while still handling valuable data. 43% of breach victims are small and medium businesses.
A zero-day attack exploits a vulnerability that is unknown to the software vendor, meaning no patch exists at the time of exploitation. Zero-days are highly prized by attackers because they bypass patch-based defenses.
Isolate affected systems immediately to prevent lateral movement. Engage your incident response plan. Notify legal, compliance, and leadership. Preserve forensic evidence. Contact law enforcement if required by regulation. Do not pay ransom without consulting legal counsel — there are legal implications and no guarantee data will be recovered or not published.
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