Attackers are using AI to poison training datasets, inserting stealthy manipulations and hidden backdoors that compromise model integrity. This playbook explains how these attacks work, why they matter, and the best practices defenders need to detect, contain, and recover from poisoned models.
Overview Credential stuffing attacks use stolen username and password pairs to gain unauthorized access to accounts. With artificial intelligence, attackers can supercharge these campaigns, automating large-scale testing, bypassing detection, and adapting in real time. The result is faster, stealthier, and… Read More ›
Overview Supply chain attacks exploit the trust organizations place in their vendors, partners, and software providers. With artificial intelligence, adversaries can now automate reconnaissance of suppliers, generate convincing phishing content, and even modify malicious code to evade detection across diverse… Read More ›
Overview Industrial control systems power critical infrastructure: energy, water, manufacturing, and transport. AI is lowering the skill barrier for mapping and exploiting these environments. Attackers can now use machine learning to identify devices, decode proprietary protocols, craft believable malicious commands,… Read More ›
The flip side of risk-based security Defenders have long used machine learning to sort CVEs by risk. Adversaries feed those same datasets into their own models, along with exploit proofs of concept, Shodan results, tech blog posts, and even your… Read More ›
Overview Disinformation has moved from manual troll farms to automated pipelines powered by language and image models. Attackers can now generate large volumes of believable articles, social posts, deepfake audio and video, and coordinated bot amplification, then adapt narratives in… Read More ›
For years, rootkits have been the ghosts in the machine — hidden code that burrows into operating systems, firmware, and even boot processes to give attackers near-invisible control. They were always rare, the domain of skilled nation-state actors. But now,… Read More ›
Overview Rootkits remain one of the most dangerous classes of malware because they operate at the lowest levels of the system. Traditionally, rootkits depended on static techniques to hide files, processes, and registry entries. AI has now introduced a dynamic… Read More ›
Overview Industrial Control Systems (ICS) power critical infrastructure including energy, water, and manufacturing. Historically, ICS attacks required deep expertise and manual reconnaissance. Now, AI is enabling attackers to map, analyze, and exploit ICS environments with unprecedented precision, raising the stakes… Read More ›
Overview Every organization faces thousands of vulnerabilities, but not all are equal. Security teams use risk-based prioritization to decide what to patch first. Now, attackers are using AI to do the same — but in reverse. AI-assisted vulnerability prioritization allows… Read More ›