Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.
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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.
AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.
Also: Leadership Decisions Shaping Cybersecurity in 2026Security leaders are heading into 2026 facing growing pressure from AI-driven risks, limited resources and an increasingly complex threat landscape. Sean Mack, who leads ISMG's CXO Advisor practice, joined ISMG editors to discuss how these forces are reshaping security.
Experts on Cyberattacks, Deepfakes, AI and Geopolitical Strife in the Year AheadCyberattacks, nation-state hacking and geopolitical shifts dominated 2025, but the year will also be remembered as a turning point - where AI blurred the lines between real and fake and AI agents introduced new enterprise risks. Our panel of experts discusses the top 10 trends to watch in 2026.
3 Years in, GenAI Has Created Fewer New Roles Than ExpectedThree years after ChatGPT's public debut in November 2022, the promised artificial intelligence job revolution has arrived. It's just not what anyone anticipated. Research shows that demand for AI fluency jumped nearly sevenfold in two years.
A Look Back at 3 Key Identity Fraud Trends in 2025Fraudsters stick to the basics, because the basics work. Synthetic identities, fake accounts and tried-and-tested account takeovers still work, even in an age of artificial intelligence-related threats. Scammers are happy to keep on stealing the old-fashioned way.
Large language models have a well-earned reputation for making things up. But for AI cybersecurity architect Erica Burgess, rather than being a bug, GPT hallucinations can be a threat-modeling feature. "I like to think of the hallucinations as just ideas that haven't been tested yet," she said.
Jason Rolleston: Unified Agent and AI Aim to Boost Midmarket Security CapabilitiesBroadcom's integration of Symantec and Carbon Black promises a unified single-agent framework and AI-enhanced threat detection to help small and midmarket businesses defend against sophisticated cyberthreats with limited resources, said Jason Rolleston.
Use cases of AI in healthcare will continue to expand in 2026 - including for back-office automation, ambient exam room documentation, claims processing and clinical decision support - but so will critical privacy, security, legal and other risks, said attorney Wendell Bartnick of law firm Reed Smith.
AI Adoption Putting Hypervisors in Attackers Sights, Says Google Cloud's Jamie CollierHypervisors and virtualized infrastructure are drawing more cyberattacks, a trend that reflects organizations' expanded use of cloud services, containers and artificial intelligence-driven systems, said Jamie Collier, lead threat intelligence advisor for the EMEA region at Google Cloud.
Synthetic Entities, AI-Driven Scams, Stablecoin Misuse Pose Key Threats in 2026Artificial intelligence-powered scams reached new heights in 2025. In the coming year, those threats will evolve further, with synthetic entities, stablecoin abuse and deepfakes driving fraud campaigns. Banks and lenders need better data, reporting and regulations to stay ahead of fraudsters.