The 7 Cyber Security Trends Of 2026 That Everyone Must Be Forbes

Bonisiwe Shabane

-Dec 27, 2025, 8:18 PM

the 7 cyber security trends of 2026 that everyone must be forbes

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling and award-winning author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has a combined following of 5 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world. Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’ In 2025, cyberattacks have continued to grow in both frequency and scale and 2026 is unlikely to bring reprieve. Emerging technologies like agentic AI and quantum computing create new opportunities for both good guys and bad guys. But as usual, we humans are likely to be the weakest link as well as the most potent defense. Experts say that if cybercrime were a nation in 2026, it would be the world’s third-largest economy, behind the US and China, costing businesses an estimated $20 trillion. So here are what I believe will be the biggest trends driving this unprecedented global crime wave over the next 12 months.

How Veterans Can Bridge the Cybersecurity Skill Gap If you’re a veteran reading this, chances are you would 10 Hidden VA (GI Bill®) Education Benefits Every Service Member Should Know What Are VA (GI Bill®) Education Benefits and Why Do Master’s in Cybersecurity vs Master’s in Information Security: What’s the Difference? In what could be described as a banner year for technology advancements, 2025 showed how powerful—and dangerous—AI can be in the wrong hands.

With bad actors automating complex attacks, using AI tools to engage in social engineering campaigns and manipulating the AI agent to expose sensitive information, it’s no surprise that the year was a game of... And while the global average of the cost of a data breach fell 9% to USD 4.44 million, the average cost in the US hit a record high of USD 10.22 million. The cybersecurity threats didn’t end with automated chatbots spamming inboxes and tricking AI agents. This year, we saw what could happen when an organization is caught unprepared to deal with the consequences of integrating new tools like AI agents into their workflow: 13% of companies reported an AI-related... Last year’s cybersecurity predictions touched on AI’s increasingly important presence in the cybersecurity preparedness plan. This year, IBM’s predictions for 2026 center on how the integration of autonomous AI into enterprise environments can be both a boon and a burden, depending on whether the proper security measures are implemented—or...

The agentic shift is no longer theoretical; it’s underway. Autonomous AI agents are reshaping enterprise risk, and legacy security models will crack under the pressure. To stay resilient, organizations must drive a new era of integrated governance and security, built to monitor, validate and control AI behavior at machine speed. This transformation requires embedding security into the very fabric of AI development and governance—ensuring agents operate within ethical and operational boundaries from day one. Anything less risks fragmentation, blind spots and enterprise-wide exposure. AI is accelerating innovation—but also exposing enterprises to unprecedented risks of intellectual property (IP) loss.

In 2026, we’ll see major security incidents where sensitive IP is compromised through shadow AI systems: unapproved tools deployed by employees without oversight. These systems often operate across multiple environments, making it easy for one unmonitored model to trigger widespread exposure. This mirrors the rise of shadow IT a decade ago, but with far higher stakes—AI tools now handle proprietary algorithms, confidential data and strategic decision-making. Closing the gap will require security teams to move at the speed of innovation, delivering approved AI tools and governance frameworks that meet employee needs without sacrificing control. As organizations accelerate toward 2026, the cybersecurity landscape is becoming more complex, more unpredictable, and more heavily influenced by fast-evolving technologies like generative AI. Threat actors are moving with unprecedented speed, regulatory demands are increasing, and the tools and techniques needed to defend modern environments are shifting just as rapidly.

To help security leaders navigate what’s ahead, WatchGuard’s Threat Lab has released its annual Cybersecurity Predictions for 2026, a forward-looking analysis of the key trends, threat evolutions, and industry shifts expected to define the... Below is a snapshot of several major insights identified in this year’s report. Traditional encryption-based ransomware is expected to decline as threat actors turn their focus toward pure extortion and data theft. Open-source package repositories may begin implementing automated, AI-driven defenses to help identify and mitigate malicious activity in software supply chains. Emerging regulations, including the EU Cyber Resilience Act, are accelerating the industry’s adoption of secure-by-design development principles—making proactive security a requirement rather than an option. Cybercrime will become the world’s third-largest economy in 2026, driven by advanced AI, deepfakes, and quantum threats.

Businesses face new, growing risks but have opportunities to strengthen defenses. Organizations should invest in quantum-safe encryption, AI-driven security, and human training now to prepare for the escalating threat of cybercrime. https://www.forbes.com/sites/bernardmarr/2025/09/26/the-7-biggest-cyber-security-trends-of-2026-that-everyone-must-be-ready-for/ Cybersecurity has become a strategic necessity for businesses, governments, and individuals in today’s hyper-connected world. As digital transformation accelerates, organizations face increasingly sophisticated threats, from ransomware and phishing to AI-powered attacks, that exploit vulnerabilities across industries. Staying resilient requires advanced technology, skilled professionals, and adaptive strategies to protect critical data and operations.

IBM’s Cost of a Data Breach Report 2025 shows the global average breach cost at $4.4 million, with 97% of organizations experiencing AI-related incidents lacking proper access controls. Organizations using AI in security reported $1.9 million in cost savings, highlighting the growing importance of AI-driven defenses. In this blog, we explore key cybersecurity trends, their applications, and why they matter, along with other key emerging threats shaping 2026. 1. Agentic AI Attacks and Autonomous Defenses Artificial Intelligence is transforming cybersecurity for attackers and defenders alike.

AI agents can independently scan networks, develop adaptive phishing campaigns, and execute sophisticated attacks. On the defensive side, AI-enabled systems can identify anomalies, quarantine threats, and patch, in real time, vulnerabilities with limited or no human intervention. “According to the RSA Conference, agentic AI introduces new attack vectors like prompt injection and model hijacking, making AI-driven monitoring and layered defenses critical.” Enterprises Will Start Treating AI Systems as Insider Threats. Josh Taylor, Lead Security Analyst, Fortra As agents gain system-level permissions to act across email, file storage, and identity platforms, companies will need to monitor machine behavior for privilege misuse, data leakage, etc.

The shift happens when organizations realize their AI assistants have broader access than most employees and operate outside traditional user behavior analytics. The first time an AI agent gets compromised through prompt injection or a supply chain attack and starts quietly exfiltrating customer data under the guise of “helping users,” organizations will realize they built privileged... John Wilson, Senior Fellow, Threat Research, Fortra

The 7 Cyber Security Trends Of 2026 That Everyone Must Be Forbes

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