Doppel Launches Agentic Email Security to Stop Malicious Campaigns

Unlike traditional email security tools that stop at reactive inbox scoring, Doppel investigates social engineering threats with brand protection context, continuously patches prompt-based detection policies with agents, and executes coordinated takedowns against the infrastructure behind phishing campaigns

Doppel, the AI-native Social Engineering Defense (SED) platform, today announced Doppel Email Security, the newest layer of its unified, AI-native platform purpose-built to protect against the entire social engineering attack chain. Joining Doppel’s Digital Risk Protection and Human Risk Management, Email Security leverages agentic AI and the Doppel 360° Threat Graph to investigate inbox threats contextually and disrupt the malicious infrastructure driving phishing campaigns before they escalate into broader attacks.

Read More: What Is the Future of Data Architecture: Data Mesh or Data Fabric?

Social engineering is moving faster than ever, with the median user clicking a phishing email in under 60 seconds. Attacks are being carried out at unprecedented velocity, volume, and variety, and traditional email security tools cannot keep pace. Countering these AI-driven threats requires an AI-native architecture with autonomous security agents that adapt in real time. To meet this need, Doppel is built on external attacker infrastructure intelligence from the Doppel 360° Threat Graph and brand protection network. The AI-native platform catches even the most novel attack campaigns and traces inbox threats directly to the attacker’s operations behind them, enabling organizations to disrupt phishing campaigns instead of simply quarantining individual messages.

“Modern phishing attacks have evolved into coordinated social engineering campaigns designed to scale rapidly and continuously retarget organizations,” said Rahul Madduluri, CTO and Co-Founder at Doppel. “But today, we’re introducing email security that finally fights back. It starts with an agentic architecture driven by natural language detection policies, rather than blackbox ML or whitebox YARA rules, and supports continuous patching on misses. Furthermore, with Doppel, companies can investigate the broader operations behind malicious campaigns and disrupt them before attackers can reuse the same infrastructure against additional targets. Every successful disruption raises the cost for attackers, changing the economics that make modern phishing attacks scalable and profitable.”

Key Features Include:

• Disruption through Multichannel Takedowns – Leveraging AI agents, Doppel traces phishing threats back to their source and orchestrates cross-surface takedowns of the full campaign, including malicious domains, fake profiles, and impersonation kits across every channel attackers use. By disrupting attacks before they spread, Doppel raises attacker costs and reduces the likelihood of repeat campaigns.
  
• Detection Powered by the Doppel 360° Threat Graph – AI agents investigate every message in the inbox using context, sender behavior, and the attacker infrastructure mapped out by the Doppel 360° Threat Graph, and evolve with attacker tactics. Signals collected across the platform strengthen downstream detections, coordinated takedowns in tandem with Digital Risk Protection, and phishing simulations used to prepare organizations and their employees for evolving attacker tactics.
  
  
• Capacity Scaled by the Doppel Agentic Security Operations Center (SOC) – Attack volume is growing exponentially, but security headcounts aren’t. AI agents close that gap by continuously tuning detection policies, investigating threats, and explaining decisions in plain language. This shifts security teams from maintaining spaghetti rules or battling a blackbox ML system to clear, human-readable natural language detection policies. Every investigation explains itself, so the SOC no longer loses time deciphering complex logic or tracking down emails lost to blackbox machine learning.

“The industry has spent years focused on filtering threats in the inbox while attackers continued evolving their infrastructure and tactics,” said the CISO of a Fortune 500 company. “Doppel’s ability to identify malicious sending infrastructure, map the broader campaign and drive coordinated disruption is a meaningful shift in how organizations can defend against social engineering. The combination of AI-native analysis, explainable detection logic and stronger signal correlation gives security teams both better visibility and greater confidence in responding to emerging threats.”

Read More: Choosing the Right Data Engineering Tools Stack in 2026

These capabilities are powered by the broader unified Doppel platform, which continues to see rapid adoption as organizations seek more proactive approaches to defending against modern social engineering attacks. Doppel’s growth has accelerated over the past four consecutive quarters, more than tripling its ARR across industries including financial services, healthcare, energy, technology, manufacturing, and media.

Write to us [⁠wasim.a@demandmediaagency.com] to learn more about our exclusive editorial packages and programmes.