Checkpoint Report 2026 on Cybersecurity, reveal global Cyberattacks reached record high as attackers prefer to leverage AI, Automation and Social engineering.

• Organisations experienced an average of 1,968 cyber-attacks per week in 2025
• 70% increase since 2023
• Attack patterns reveal autonomous techniques emerging, forcing defenders to rethink long-standing security assumptions.
• 89% of organisations encountered risky AI prompts, with one in every 41 classified as high risk, 
• 50% rise in new ransomware-as-a-service groups, with AI increasingly used to streamline the targets, negotiate and execute.

How does leadership address these issues as AI-driven threats requires a shift in security strategy. AI related vulnerabilities are accelerating at an unprecedented pace: and World economic forum report says 87% of respondents identified AI-related vulnerabilities as the fastest-growing cyber risk over the course of 2025.

Will AI Models Assist in Preventing Cyber Attacks

The Checkpoint report points at growing exposure in the edge, with unmonitored VPN appliances, IoT systems and other edge devices increasingly used as repeat points to blend malicious activity into legitimate network traffic.

New risks are also emerging in AI infrastructure itself. In 2025, CEOs were most concerned about
ransomware attacks, followed by cyberenabled fraud. In 2026, their priorities shifted, with cyber-enabled fraud and phishing taking the top spot and AI vulnerabilities emerging second. For CISOs, the top risks are generating from ransomware attacks, that remains the leading concern and supply chain disruption
consistently holding second place across both years.

Key Findings from the Cyber Security Report 2026

The report highlights a clear shift toward integrated, multi-channel attack campaigns that combine human deception with machine-speed automation.

• AI is increasingly embedded across attack workflows, accelerating reconnaissance, social engineering. In a way autonomous so tracking attacks require specific skill set.
• Increase in ransomware ecosystem has decentralized into smaller, specialized groups and these groups now use AI .
• Coordinating campaigns by attackers across email, web, phone and collaboration platforms. As organizations embedded AI in browsers, SaaS platforms, and collaboration tools, the digital workspace is merging as a critical trust layer for attackers to exploit.
• Unmonitored edge devices, VPN appliances, and IoT systems are increasingly used as operational relay points to blend into legitimate network traffic.

Advice for Cyber leadership to address these issues before they grow

AI would demand more revalidation in security postures for organizations and informed by maturity assessments, vulnerability assessments, risk assessments, audit findings and penetration tests.

Apart from detection speed and predictive capabilities are the main AI benefits, leadership must now but worry about talent gaps and costs.

AI is accelerating code generation, but this can worsen existing gaps in the software development lifecycle (SDLC), especially in testing.

Adopting AI securely will be challenging in daily workflows, blocking its use can increase risk. Security teams should apply governance and visibility to sanctioned and unsanctioned AI usage to reduce exposure from high-risk prompts, data leakage and misuse.

Consistent visibility and enforcement across on-premises, cloud and edge environments reduce blind spots, lower complexity, and strengthen resilience.

At the end stopping any attack before hand as cyber attacks are at machine speed, prevention-led security is essential to stop threats before lateral movement; data loss, or extortion can occur.

As per world economic forum (WEF) in 2026, geopolitics remains the top factor influencing overall cyber risk mitigation strategies. Around 64% of organizations are accounting for geopolitically motivated
cyberattacks – such as disruption of critical infrastructure or espionage.

Conclusion: Top leadership are now prioritizing financial loss prevention and preparing for new threats, while CISOs remain focused on operational resilience.

As for AI-powered solutions are concerned that optimize analysts’ time—by accelerating AI threat detection and mitigation and protecting user identity and datasets. This will further keep cybersecurity teams in the loop and in charge when ever any attack is anticipated.

Having AI models in place will help prevent phishing, malware and other malicious activities, ensuring a high security posture within security systems.

Solutions: RakshaOne from Intrucept

RakshaOne gives security analysts and SOC managers a clear view across the organization, helping them fully understand the extent and context of an attack. It also simplifies workflows by automatically handling alerts, allowing for faster detection of both known and unknown threats.

Identify latest threats without having to purchase, implement, and oversee several solutions or find, hire, and manage a team security analyst.

Unify latest threat intelligence and security technologies to prioritize the threats that pose the greatest risk to your company.

Here are some features we offer:

Prebuilt playbooks and automated response capabilities.

Over 400 third-party and cloud integrations.

More than 1,100 preconfigured correlation rules.

Ready-to-use threat analytics, threat intelligence service feeds, and prioritization based on risk.

Source: Check Point Software’s 2026 Cyber Security Report Shows Global Attacks Reach Record Levels as AI Accelerates the Threat Landscape – Check Point Software