Overview Cloud misconfigurations remain one of the top causes of breaches. Now, attackers are supercharging their reconnaissance by using AI to identify, classify, and exploit cloud misconfigurations at scale. From open S3 buckets to weak IAM policies, AI-driven tools can… Read More ›
Overview Distributed Denial of Service (DDoS) attacks have long been a weapon of choice for cybercriminals. But with AI, these attacks are no longer just about brute force — they’re becoming smarter, adaptive, and harder to stop. By combining botnets… Read More ›
Overview Insider threats have always been one of the hardest problems in cybersecurity. Now, with AI at their fingertips, malicious or careless insiders can conduct reconnaissance on their own organizations with unprecedented speed and sophistication. By combining privileged access with… Read More ›
Overview Cybercrime has evolved from individuals writing malware to entire marketplaces offering Malware-as-a-Service (MaaS). Now, a new player has entered the underground economy: Adversarial LLM-as-a-Service (LLMaaS). These platforms allow attackers to rent hostile AI models — pre-tuned for phishing, malware… Read More ›
Overview Social engineering has always been one of the most effective forms of cyberattack.Now, with AI, it’s getting smarter, faster, and harder to detect. Attackers can use large language models, deepfake generators, and automated reconnaissance to craft highly convincing, personalized… Read More ›
Overview Enterprises are racing to adopt AI, but few realize they may already be running shadow models — unauthorized AI instances spun up outside IT and security oversight. Just like “shadow IT” with unsanctioned apps and cloud services, shadow models… Read More ›
Overview The future of AI isn’t just single models — it’s multi-agent systems. These setups feature multiple AI agents collaborating, dividing tasks, or competing to reach goals. While powerful, they also open new attack surfaces. If one agent can be… Read More ›
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