Doppel

Black-box machine learning models are creating an operational nightmare for SOCs. To scale defenses against automated threat volume without inflating headcount, teams need human-readable detection logic. Here's why: - Analysts can remediate false positives in seconds rather than waiting weeks for proprietary model updates - New indicators of compromise can be introduced conversationally the moment novel tactics are identified in the wild - Security, compliance, and legal teams get clear, auditable explanations instead of an opaque numerical risk score - Junior analysts can tune sophisticated defenses without mastering complex detection code If your analysts are spending more time deciphering complex logic than stopping threats, your defense architecture needs to evolve. Read the analysis: https://lnkd.in/gtWt-A5R

TSA: sees what's in your bag. Doppel: sees what's impersonating your brand. Both catch the threats you can’t see. Scammer denied, their dignity gone. See you at Black Hat, safe travels.

Doppel Email Security is now generally available 🎉 The email security market has advanced for decades, but the outcome has stayed the same. Attackers still move faster than defenders, and traditional email security tools still focus on scoring the message instead of seeing the campaign infrastructure behind it. Detection is not enough. Disruption is the difference. Doppel Email Security is agentic from end to end. Its self-healing detection stack continuously tunes policies, investigates threats, explains decisions in plain language, and disrupts the infrastructure behind the broader campaign. We are also introducing AI Managed Service for Doppel Human Risk Management, which enables teams to set goals and guardrails once, while agentic AI designs, runs, and continuously improves their security awareness programs. Together, Doppel Email Security and AI Managed Service help security teams work more efficiently by reducing manual investigation, policy tuning, campaign management, and ongoing program maintenance across both technical defenses and human risk. Learn more: https://lnkd.in/dEmHJdQS

What makes building at Doppel so important? The problem never stands still. Our teams scan billions of URLs every day, develop advanced AI and machine learning systems, and build infrastructure capable of operating at extraordinary scale. All while attackers continue to adapt. Watch our Co-founder and CTO Rahul Madduluri explain why Doppel moves with urgency and why technologies like deep research and reinforcement fine-tuning are critical to staying ahead. ⬇️

To understand the threat landscape, sometimes you have to become the target. Our newest threat intelligence report shares findings from a recent honeypot project in Japan. By operating mailboxes designed to attract malicious activity, we observed phishing campaigns as they reached the target environment, revealing how attackers tailor their tactics around the brands, infrastructure, and routines of Japanese users. Key findings include: • Financial services and payments accounted for 67.8% of impersonated brands • 67% of malicious lures arrived on Mondays or Fridays • 47% arrived at either 9 a.m. or noon JST • Advance-fee scams and credential phishing made up the majority of malicious emails Read the report: https://lnkd.in/dCsVuXN9 

Attackers are getting faster. Their infrastructure is cheaper. Their targeting is automated. Their campaigns improve with every interaction. Playing whack-a-mole with domains, profiles, and lures will not stop an industrialized attack operation. Defenders need to target the metric threat actors care about most: profit. In a new article in The Hacker News, Doppel’s Vice President and Global Head of Threat Intelligence, Joshua Bartolomie, breaks down how security teams can make social engineering unprofitable by: → Disrupting reconnaissance ROI → Trapping malicious AI agents in compute-heavy conversations → Feeding false signals into attacker telemetry Takedowns remove assets. Economic disruption forces adversaries to waste time, infrastructure, and budget. Which removes the incentive to keep targeting you. Read more: https://lnkd.in/gAfAkRbD

Election campaigns operate in one of the most targeted and fast-moving threat environments. Attackers can exploit public trust in seconds by: - Spoofing candidate and campaign identities - Creating fraudulent donation portals - Launching deepfake campaigns designed to spread confusion or erode credibility When reputation and trust are on the line, reactive defense is a major liability. Securing high-stakes environments requires an active, living defense system. Get the blueprint for securing high-risk campaigns: https://lnkd.in/gRDx4f2h

Social engineering has reached an AI inflection point. Attacks are increasing across three dimensions: 1️⃣ Volume 2️⃣ Velocity 3️⃣ Variety Traditional security awareness training was not built for this threat landscape. Modern Human Risk Management connects technical controls with behavioral defenses, helping security teams identify where risk is concentrated, apply targeted interventions, and build resilience across the organization. Watch the discussion with Alvin Lin and Sameera Kelkar, and learn more in our Human Risk Management eBook: https://lnkd.in/g5P32sCX

We’re excited to welcome three new teammates to Doppel! Gerson Personnat joins our Detection Engineering team from Meta, where he worked on internal developer tooling. Wendy Gao joins our DRP product team as a data scientist after roles at Square and Partiful. Minkush Jain joins our Autopilot team after building AI products and backend systems across large companies and startups. Welcome to Doppel, Gerson, Wendy, and Minkush! 🎉

Election season brings a flood of urgent texts, emails, calls, videos, and social posts. Some are legitimate. Some are scams. That’s why we’ve partnered with Defending Digital Campaigns to develop and launch a free voter training course designed to help the electorate recognize suspicious content, verify sources, and respond safely. The course walks participants through realistic campaign-season scenarios and offers practical guidance on evaluating those “urgent” messages, understanding where they came from, and deciding what to do next. As AI makes deceptive content easier to create and harder to spot, voters need practical tools they can use in the moment. Try the free course here: https://lnkd.in/grwFKFc7