SentinelOne

🔥 🟣 Purple AI is here and now generally available! To learn more about the industry’s leading AI security analyst, watch the video below. 👉 Ready to transform your security operations? Get a demo: sentinelone.com/platform/purpl…

Reliability in AI Security comes from the pipeline structure, not just the model. Read the full technical breakdown by @Philofishal: s1.ai/advers-llm

Our Adversarial Consensus Engine for reversing macOS malware: ↪️ The Serial Pipeline: r2, Ghidra, Binary Ninja, and IDA Pro act as independent analysts, verifying or rejecting each other’s findings in a chain. ↪️ The Gauntlet: Reliability is enforced through an "Active Rejection Mandate," forcing agents to act as highly skeptical peers. ↪️ Deterministic Integrity: We chose custom bridge scripts over MCP to ensure 100% data extraction and lower latency. ↪️ High-Fidelity Results: Reports are cross-validated and every capability is anchored to a specific virtual address.

Want an AI malware analyst you can actually trust? Use a consensus of highly skeptical peers that doesn’t just “think,” but doubts. 🤔 🧵 Individual LLM tools often fail at malware reversing because they amplify “noise.” They produce confident but unreliable results contaminated by decompiler artifacts, dead code, and hallucinated capabilities. @LabsSentinel built an Adversarial Consensus Engine to bring the rigor of human peer review to automated malware analysis.

The irony? Every transaction is public and permanent on blockchains. While threat intel analysts face a race against time, the ledger never lies—if you know how to track the movement. Watch the full @labscon_io 2025 video: s1.ai/LC25-AM

Once funds are stolen, attackers move quickly to obfuscate the trail: • Cross-chain swaps • Privacy mixers (like Tornado Cash) • Non-KYC platforms The goal is to move assets across different blockchains until they can be "off-ramped" into cash.

$9 billion. That’s how much crypto crime has amassed approximately in illicit funds. In this @labscon_io 2025 video, @privy_io's @AndrewMohawk breaks down how attackers steal and launder billions through modern crypto ecosystems. 🧵👇

AI-Driven Insights. Automated Precision. One Unified Command Center. We’re expanding our partnership with @Cloudflare to give enterprises an intuitive, unified experience that scales with the needs of modern security teams. By integrating Cloudflare's global infrastructure network with SentinelOne’s Singularity™ AI SIEM, we’re delivering a single, unified command center that reduces complexity and improves outcomes. The Impact: - Automated Precision: Automatically apply AI-driven correlation from Cloudflare Logpush telemetry and SentinelOne’s native signals to neutralize threats as they move from the edge into your environment. - Unified Command Center: Gain better visibility, context, threat investigation and response for modern and sophisticated threats through a new integration, which brings Cloudflare’s Zero Trust and edge network telemetry (including Gateway, Access, and WAF logs) directly into the SentinelOne Singularity Platform. - Immediate Time-to-Value: Configure Singularity Platform in just a few clicks to become the native Logpush destination within the Cloudflare Dashboard. Attackers don’t respect disjointed point products and siloed signals—neither should your security stack. Read the full announcement: s1.ai/CldFlr-PR

Looking for an internship in AI Cybersecurity? We’re running AI-driven security challenges at NEBULA:FOG's hackathon today. Join us: nebulafog.ai/challenges I’ll be there live giving updates.

🚦 Global Malicious Proxy Network Disrupted, BlackCat Negotiator Charged, Microsoft Patches 57 Vulnerabilities, FortiGate Edge Intrusions Observed, and Iran-Linked Wiper Attack Hits Medtech Giant 🚦 This week in cyber: The Good, the Bad & the Ugly ⬇️ ✅ GOOD • SocksEscort proxy network dismantled by international law enforcement. • BlackCat ransomware negotiator charged. • Microsoft patches dozens of vulnerabilities in March Patch Tuesday. ⚠️ BAD • FortiGate edge intrusions enable lateral movement inside enterprise networks. 🤢 UGLY • Iran-linked cyberattack disrupts operations at medtech giant Stryker. Read the full roundup → s1.ai/GBU9-Wk11

📺 “Get your shields up.” 🛡️This morning on @CNBC, our CEO Tomer Weingarten joined @SquawkCNBC to break down: - The $1 Billion+ Milestone: SentinelOne’s record annual revenue growth 🚀 - Iranian Cyber Threats: The first verified Iran-linked cyber attack on a major U.S. enterprise - The Microsoft Security Problem: Why separate security controls are non-negotiable for the modern enterprise ⏯️ Watch the full interview here: s1.ai/Q426-CNBC

$1 Billion Crossed in Annual Revenue 📈 Results like these prove one thing: innovation wins in the era of AI Security. Businesses of all sizes including nearly one-fifth of the Fortune 500 and hundreds of the Global 2000 trust our autonomous security intelligence to deliver the decisive AI advantage. More Q4 FY26 Highlights: - Scale: $1.119B ARR (+22% YoY). - Momentum: $1.001B Revenue (+22% YoY) — a historic milestone. - Profitability: 3.5% Operating Margin (+600 bps YoY improvement) and $0.20 EPS. - Built for the AI Era: 50%+ of annual bookings from Emerging Platform solutions. - Record ARR per Customer and Accelerated Platform Adoption - The Gold Standard of Trust: 96% GRR and 109% NRR ($100K+ ARR customers). For over a decade, we’ve fused AI with human expertise to build the world’s first truly autonomous security platform. We’re not just defining the category, we’re defining the future. Thank you to our customers, partners, and Sentinels. We’re just getting started. 🚀 Read the press release: s1.ai/Q4-26-PR Listen to the call: s1.ai/Q4-26-Ern

Operationalizing AI in CTI requires deliberate planning and continuous refinement. Future models will only raise the baseline for correctness, and we're committed to sharing the roadmap. Read the full research from @milenkowski and Razvan Gabriel Cristea: s1.ai/know-CTI

As one example of how we solved this, we used strict "abstention" policies. By giving the LLM an explicit "None" option, it learned to say “I don’t know” when evidence was insufficient. This reduced speculation and built trust in the final output.

It takes a human analyst an average of 41 minutes to process a single CTI report. An LLM typically does it in 3.3 minutes. Our latest @LabsSentinel evaluation shows LLM-driven pipelines can process threat intel 18x faster than manual workflows. But there’s a catch. ⚠️ 🧵

⚠️ Attackers are abusing FortiGate firewalls as entry points. A SentinelOne report says exploits and weak credentials let intruders extract configs holding Active Directory service account credentials, then enroll rogue machines and scan internal networks. 🔗 FortiGate breach chain and AD access details → thehackernews.com/2026/03/fortig…