Deep Instinct

Meet DIANNA 👋 Deep Instinct’s Neural Network Assistant, and your next-gen AI analyst! Powered by the world’s only deep learning framework for cybersecurity, DIANNA delivers unprecedented explainability into unknown threats: deepinstinct.com/news/deep-inst…

AI agents are gaining traction in financial services. In @CIOonline, Deep Instinct’s @xkerminate notes that early ROI will come from streamlining manual processes and reducing latency–freeing teams to focus on higher-value analysis and oversight: cio.com/article/412349…

AI, machine learning, and deep learning are often used interchangeably, but they’re not the same. Discover the difference: see how deep learning trains directly on raw data using neural networks, enabling it to adapt faster than traditional ML: youtube.com/watch?v=-FFjK4…

New #CyberTarot insight has emerged: The Chariot 🐎 Even the strongest teams lose direction without clarity. Move forward with certainty, not chaos, with #DeepLearning: deepinstinct.com/dsx/cyber-tarot

#DarkAI has transformed the threat landscape. In under 30 seconds, Deep Instinct’s Ryan Heath used an LLM to generate brand-new, fully executable ransomware. When he uploaded it to VirusTotal, only 8 of 73 vendors flagged it. Explore the full demo: deepinstinct.com/blog/black-hat…

DIANNA is the only GenAI cyber companion built to explain never-before-seen malware. By analyzing and explaining novel threats, DIANNA translates code into clear, actionable insights. Explore how DIANNA can transform your cyber strategy: deepinstinct.com/dsx/companion

Cloud storage can look safe on the surface, but that doesn’t mean you truly know what’s inside. Much like Shrödinger’s cat, until you actually scan stored data, it’s in a kind of superposition: both safe and exposed. Learn why observation matters: deepinstinct.com/blog/schroding…

We’re proud to share that Deep Instinct has been named a finalist for the 2026 @SCMagazine Trust Awards for data security! As orgs face escalating AI-powered threats, Deep Instinct meets the moment with prevention-first security powered by deep learning. scworld.com/news/2026-trus…

Catch up on our blog series, DIANNA Explains, featuring the only Artificial Neural Network Assistant built to explain unknown threats. Learn how each threat tried to evade detection and how the deep learning-powered DSX Brain prevented it pre-execution 👉 deepinstinct.com/dsx/dianna-exp…

Back for another walk through the Museum of Outdated Cyber Tools? Legacy antivirus, which relied on signatures & reacted after the fact, sits behind glass. Prevention-first security, powered by deep learning, stops >99% of unknown threats pre-execution: deepinstinct.com/deep-instinct-…

AI-generated malware is scaling faster than most defenders realize. While 89% of legacy tools failed to detect AI-generated samples in testing, 86% of IT pros wrongly believe their tools can stop these threats. Learn more: deepinstinct.com/blog/overconfi…

AI cyber threats never stop and adapt faster than legacy cyber tools can respond. In this on-demand workshop, learn how autonomous, multi-stage attacks can be orchestrated and see preemptive data security, powered by #deeplearning, in action: deepinstinct.com/webinars?__hst…

As agentic AI edges into finance, trust matters as much as speed. Our CIO @xkerminate recently spoke with @CIOonline about how AI agents add value by aggregating data, summarizing insights, and escalating decisions without changing risk posture: cio.com/article/412349…

Is your cloud storage actually safe? Until data is scanned, it exists in a state of uncertainty, much like Schrödinger’s Cat: safe + compromised. Legacy tools inspect files by executing them. Deep Instinct scans files before execution. Learn more: deepinstinct.com/blog/schroding…

Deepfakes, agentic AI, and autonomous social engineering are moving fast. As our CIO @xkerminate notes in @SecurityWeek, no “master” AI attacker exists yet, but the building blocks do—LLMs handling reconnaissance, manipulation, exploitation, and evasion: securityweek.com/cyber-insights…

There’s a flawed assumption in cybersecurity: Gen Z is inherently more secure online. Our CIO @xkerminate spoke with @ITBrew’s @EoinHiggins_ about how digital nativity can create blind spots—and why there’s no silver bullet in security: itbrew.com/stories/2026/0…

The biggest AI cyber risk isn’t malware. It’s overconfidence. Our latest research reveals a dangerous gap between how prepared IT leaders think they are and how their legacy tools actually perform against AI-generated threats (spoiler: most are failing): deepinstinct.com/blog/overconfi…

🤖 As AI chatbots become more personal, the security risks become more real. People increasingly trust AI with deeply sensitive info. Our CIO @xkerminate spoke with @qz about why security-first thinking must be part of every interaction: qz.com/ai-chatbot-age…

From initial reconnaissance to data exfiltration, the entire kill chain now unfolds at machine speed, leaving traditional security tools behind. In this on-demand webinar, see why only #deeplearning is able to outpace fully automated attackers: deepinstinct.com/webinars?__hst…

Just like Schrödinger’s cat, potential threats in your cloud exist in a superposition: simultaneously clean and infected until observed. Discover how the power of #deeplearning allows Deep Instinct to observe cloud data without opening Schrödinger’s Box: deepinstinct.com/blog/schroding…

A new year, a new #CyberTarot card emerges… Judgement 🔮 Judgement calls for resolve, because when threats evolve in milliseconds, delays become breaches. Deep Instinct is the answer, delivering true, #deeplearning-powered prevention: deepinstinct.com/dsx/cyber-tarot