Darktrace researchers demonstrate how conversation history poisoning can hijack agentic harnesses, convincing AI agents to perform offensive cyber operations with little to no human interaction.

Darktrace Signal Labs will research emerging AI risks in safe, sandboxed environments to strengthen defenses so organizations can adopt AI securely and with confidence.

Darktrace researchers found that AI agents tasked with solving impossible challenges frequently resorted to hacking techniques. Learn how Darktrace detects and disrupts rogue agent behavior in real ...

World-class detection is half the battle, but threat sophistication and volume is growing exponentially as attackers begin to harness AI. Defenders are increasingly relying on defensive AI to ...

AI is increasingly being used to accelerate cyber-attacks, but attackers still leave detectable behavioral traces. This blog explores how Darktrace identified suspicious file delivery, ...

Experience how leading organizations are securing their transformation in the age of AI - live at the AT&T Stadium. Dive into current global and regional threat trends and learn how attackers are ...

Stop cyber risks from becoming reality with cross-stack attack path modeling, threat and vulnerability management, and AI risk assessment that understands your business. With an AI-based risk scoring ...

Experience how leading organizations are securing their transformation in the age of AI – live at the Museum of Science and Industry. Dive into current global and regional threat trends and learn how ...

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Darktrace analysis reveals ZionSiphon, an OT‑focused malware targeting Israeli water treatment and desalination systems. The malware combines privilege escalation, persistence, USB propagation, and ...

As Model Context Protocol (MCP) becomes the control plane for autonomous AI agents, it creates a new and largely ungoverned security attack surface. This article outlines the key MCP risks CISOs must ...