AI Arms Race; Malware Autonomy
AI Arms Race; Malware Autonomy
Publish Date: 2025-12-30 12:47:00
Source Domain: www.darkreading.com
Using an unordered list, summarize the following article with between 4 and 8 key points. COMMENTARYIt’s that season once again. The time in which all cybersecurity prognosticators and armchair analysts get on their feet, pound the pulpits, and decry that they know what is coming in the next calendar year. Spoiler alert – the bulk of the predictions will be slightly off at best and wildly inaccurate at worst. However, the astute reader is well advised to consider the trends amongst the recommendations coming from multiple pundits as they are very likely to be directionally accurate. Below you’ll find my top three cybersecurity related predictions for 2026 for use in your own critical thinking and crystal ball gazing process. Connect my future vision with all the other predictions out there and you will likely be too scared with FUD to sleep until after the new year. With that, I hope your 2026 is better than your 2025 ever dreamed of being. The frequency and technical sophistication of offensive attacks driven by AI and fully autonomous agents escalate quickly. AI-driven attacks and defenses alike will dominate the threat landscape and the cybersecurity news. Attackers are already leveraging advanced AI to automate phishing, deepfake creation, and to identify and exploit vulnerabilities at scale and this will only increase in 2026. Simultaneously, defenders are deploying increasingly sophisticated AI-powered security tools for exposure management, threat and attack detection, and automated response and risk reduction. The AI for good vs. AI for bad arms race will intensify in 2026 making it even more important for security teams to find a way to adopt and actively use AI-based security technologies. To quote the great movie Anchorman – “well that escalated quickly!”Related:Sunken Ships: Will Orgs Learn From Ivanti EPMM Attacks?The end of human speed defenses comes closer, but doesn’t fully arrive. Due to the rate of adversarial AI adoption, security teams must respond with similar improvements. In 2026 we will see an increasing adoption rate for autonomous containment in the incident response and active defense realm as well as automated exposure mitigation based on probabilistic scoring and threat context. AI infused automated creation of detection engineering rules will also become highly popular next year. All these advancements are required to eliminate the human triage cycle that is far too time consuming, keeping security well behind the pace of weaponization and real-time attack. Attackers are not limited by fear of their offensive AI technologies causing problems in the environment and potentially creating down time while defenders must make sure that any AI technology is properly vetted and trusted prior to production deployment. If bad things happen when AI security technologies are deployed, people get fired. Because of this, the time that it takes for cybersecurity teams to trust and deploy AI based agentic automation will keep them well behind the advancements that are made in the offensive arena. This asymmetry will keep attackers at least one step ahead throughout 2026.Related:New Tech Deployments That Cyber Insurers Recommend for 2026 Code that learns to fight back results in the dawn of AI malware autonomy. This prediction comes with a bit of a spooky, FUD feeling to it. We’re already using AI to write major portions of code automatically and this is expected to continue to grow in adoption throughout next year. We have agents creating agents and code writing code in some sort of weird self-referential risk creation situation, and oddly enough that’s not even the worst of it. What really has me a bit unnerved is the idea that code can learn to fight back, creating a new approach to malware and worm creation that not only morphs itself over time to avoid detection, but completely changes tactics, processes, techniques, and more based on the cyber defenses that it runs while attacking targets. Said more simply, I predict that 2026 will bring with it a self-learning and self-preservation aware agentic cyber worm. I know this sounds like “agent smith” from The Matrix, but I really don’t think it’s that much of a long shot for someone either in academia or cyber research to create this to prove a point, or worst-case scenario, someone with nefarious intentions choosing to build and release an AI morphing smart worm. Related:Industry Continues to Push Back on HIPAA Security Rule Overhaul Platformization grows more pronounced as vendor consolidation continues to send shockwaves through cybersecurity markets. We’ve already seen significant consolidation in cybersecurity markets throughout 2025 as the acquisition pace has picked up drastically. Many small to mid-sized cybersecurity related technologies have been gobbled up by the larger platforms as they look to extend the quantity and quality of contextual data in their data fabrics to be leveraged by the AI systems they’ve built to provide value to customers. Cybersecurity data is the new oil and large platform players are looking to consolidate that oil as they expand into adjacent subsegments of cybersecurity and push smaller vendors aside. At the end of the day 2026 is not going to be all doom and gloom. There will be equal advancements in detection, prevention, automated remediation, and AI trust over the next year as well. The AI driven cyber arms race is only just beginning and we’re going to see both benefits and challenges over the course of the next year from these innovations. In 2026 we are likely to see some threats we’ve never seen before alongside creative, fresh, and innovative ways to squash them. The current era of cybersecurity is both exciting and scary, but what else is new. It’s been this way as long as I’ve been alive and we wouldn’t want it any other way. I’m kicking off some very interesting research on AI driven offensive security and the impact of platformization — if you are interested in participating or getting access to the results do not hesitate to reach out! Further reading:Complete Survey Results: The Evolution of Risk Reduction: Contextual Analysis and Automated Remediation in Threat and Exposure Management
