SentinelOne

SentinelOne

@sentinelone.com

The world’s most advanced, autonomous AI-powered cybersecurity platform. We empower the world to run securely, with leading organizations trusting us to Secure Tomorrow™. Secure your enterprise: http://sentinelone.com/request-demo/

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🚨 This week, a Nigerian man was sentenced to eight years for spearphishing and tax fraud, while a China-linked actor deployed agentic AI to compromise cloud supply chains and PHP warns of two critical-level RCE flaws. 🔗 https://bit.ly/47EqoI1

🚨 This week, the FBI arrested a suspected ShinyHunters co-conspirator, the DOJ indicted 14 people over a North Korean remote IT worker scheme, malicious hardware implants were found in Ledger wallets, and attackers remotely defrosted refrigerators at French supermarkets. https://bit.ly/4s5Nz7q

How do you start an autonomous SOC? Listen to this breakdown of approachable steps overheard at #BHUSA: ⚙️ Refine your data 👥 Grant agents small amounts of access 🔁 Start with reversible actions (quarantine files, don't isolate hosts) 🤝 Widen scope as trust is earned Crawl, walk, run.

Long-running AI agents face a memory problem, but compaction fixes it. SentinelLABS tested OpenAI’s compaction on a reverse-engineering harness: input tokens fell 86% and output fell 31%, with no loss in accuracy. Working memory stays in context; evidence goes to storage. https://s1.ai/CE-Compact

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The lesson for defenders isn't "watch for Reaper." It's that brand recognition is not a signal of safety — it signals the attack. Unexpected AppleScript activity, outbound traffic after Script Editor runs, LaunchAgents in trusted-vendor namespaces — that's where to look.

- The lure: a fake WeChat or Miro installer - The delivery: a typo-squatted domain, mlcrosoft[.]co[.]com - The execution: dressed up as an Apple XProtectRemediator security update - The persistence: a fake Google Software Update directory, beaconing every 60 seconds

This is what a realistic AI-era attack chain looks like. Drawn from 11,000+ anonymized cloud environments in our 2026 report. No zero-day. No prompt injection research paper. No novel technique. What we see instead is a misconfigured bucket, one hardcoded key, and a model connected to a CRM.

Frontier AI isn't being built in isolation. Neither is the frontier of cyber defense. That’s why we’re proud to be a partner in OpenAI’s Trusted Access for Cyber (TAC) Program. Read more: s1.ai/GPT5-5Cyb

“At SentinelOne, the real value of AI is how quickly it helps us turn signals into an actionable advantage for defenders. GPT-5.5 helps analysts connect telemetry, focus on what matters, and strengthen how organizations investigate, detect, and respond to emerging threats.”

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💀 Deploys Sliver C2 beacons via a second toolset, compiled with garble obfuscation to defeat signature detection 🚫 Zero cryptomining. None. In a world where every cloud worm drops XMRig eventually, this one doesn't. It's going straight for credential monetization, extortion, and fraud.

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🔑 Steals cloud credentials across AWS, Kubernetes, Docker, Slack, GitHub, Stripe, and 30+ other services 🌐 Propagates externally using Common Crawl parquet data — a legitimate web archive nonprofit — as its target list

This isn’t a theory—it’s in the code. PCPJack specifically kills TeamPCP processes and even reports a "PCP replaced" metric back to its C2.

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Continuous discovery using the most advanced frontier models. Real exploitability, not paper risk. Mitigations that break attack chains before adversaries finish them.

In the era of frontier AI models, the question isn't what vulnerabilities exist. It's what an adversary can actually chain together to exploit today. The answer lives not in the model or the SOC, but in the loop between them. And that loop is what we're unveiling. 🔗 Learn more: s1.ai/Claude-WF

s1.aiWayfinder Frontier AI Services: Expose Risks | SentinelOneWayfinder Frontier AI Services from SentinelOne deliver exposure intelligence to identify high-priority risks, reduce the attack surface, and stop attacks fast.

Hosted by @sentinellabs.bsky.social. A program committee with reviewers from Google, Netflix, Dartmouth, Johns Hopkins, and SentinelLABS. Malware, exploits, APTs, cybercrime — any platform. Original work only. No vendor theater. Bring the paper. Deadline June 19.

The history of cyberwar just got rewritten with a new @sentinellabs.bsky.social discovery by Vitaly Kamluk and @jags.bsky.social. Stuxnet wasn't the beginning of nation-state sabotage through software. It was just the first one we caught. Read the full @wired.com story by @agreenberg.bsky.social 👇

Andy Greenberg@agreenberg.bsky.social

A newly decoded piece of sabotage malware called Fast16, created even before Stuxnet, was designed to silently tamper with/corrupt calculations in research and engineering software. Likely created by the US or an ally, and possibly used against Iran's nuclear program. www.wired.com/story/fast16...

Meet fast16 — compiled in 2005, five years before Stuxnet. It isn't espionage. It's not ransomware. It's a precision instrument designed to make scientists trust math that's been quietly broken. Silently. Precisely. Across an entire network.

The biggest risk in your AI strategy? What quietly disappears when AI handles the work that builds expertise. Here are three questions to pressure-test your exposure👇

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By automating the "grunt work" of junior analysts, organizations aren't increasing efficiency. They are removing the very gym that builds the mental muscles for high-level judgment. 🧠💪

The biggest risk in your AI strategy? What quietly disappears when AI handles the work that builds expertise. Here are three questions to pressure-test your exposure👇

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3️⃣ Which "wasteful" manual skills are you currently eliminating that are actually the essential training data for your future leaders?

In this blog, Chris St.Myers argues that organizations feel "safe" today because AI is still hard to use. They are busy debugging prompts and fixing hallucinations. But this technical friction is masking a long-term problem.

The biggest risk in your AI strategy? What quietly disappears when AI handles the work that builds expertise. Here are three questions to pressure-test your exposure👇

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1️⃣ If your senior staff retired tomorrow, could your juniors replicate their "smell test" decisions using only the AI tools provided?

2️⃣ Are you building workflows that require active human trade-offs, or "verification loops" where a human just clicks "approve"?

The biggest risk in your AI strategy? What quietly disappears when AI handles the work that builds expertise. Here are three questions to pressure-test your exposure👇

These questions aren’t being asked by most organizations not because they're careless, but because the cost doesn't show up until you need it and discover you can't rebuild it on demand. This is the Cognitive Rust Belt.

Adversaries are now industrializing the breach. SentinelOne’s new Annual Threat Report is officially out, and this is one of the key takeaways. Targeting core systems like identity, infrastructure, and automation is not new—but executing these tactics at an industrial scale is.

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Living Off the Pipeline: Compromise software pipelines enable code injection and secret theft. The Machine Multiplier: Automation—not just AI—is compressing response windows to seconds, not days.

Adversaries are now industrializing the breach. SentinelOne’s new Annual Threat Report is officially out, and this is one of the key takeaways. Targeting core systems like identity, infrastructure, and automation is not new—but executing these tactics at an industrial scale is.

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This defender’s guide isn't a collection of stats or "actor branding"—it’s a deep dive into the mechanics of how adversaries exploit organizational blind spots.

The Modern Defender's Battlefield: The Identity Paradox: Adversaries look like your most productive employees. Edge Decay: Unmanaged, legacy infrastructure is being weaponized at industrial scale.

Adversaries are now industrializing the breach. SentinelOne’s new Annual Threat Report is officially out, and this is one of the key takeaways. Targeting core systems like identity, infrastructure, and automation is not new—but executing these tactics at an industrial scale is.

The SentinelOne Annual Threat Report reveals a fundamental shift: adversaries are no longer just "hacking in". They are using authorized credentials, automation, and legacy systems to break human-centered defense.