Not all agents are friendly. In Ep. 7 of the Agent Ready video series, Bobbie Chen walks through how to stop malicious AI- driven attacks at scale 🚀 Watch now 🎥 https://buff.ly/HCUqIvy
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AI is now essential for detecting email threats and protecting businesses. Hear directly from industry experts on how AI is making the biggest impact.
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Attackers are now exploiting business logic, not just tech flaws. In this Black Hat chat, A10’s Jamison Utter shared how AI-driven observability and unified defenses stop threats before damage is done. https://bit.ly/40XITnP
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Deepfakes in 2025 are a serious threat. Learn how to detect, deter, and respond to this new form of attack with a guide for people and companies. https://lnkd.in/emvD4tbz
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2026 will bring AI-generated scams and deepfake attacks to Australian businesses. Are your systems and people ready? Learn what’s coming next and how to prepare 👇🏻 https://lnkd.in/dXgvqbay
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We've identified four more packages compromised by the same threat actor who published malicious versions of chalk and debug on #npm: @coveops/abi - [2.0.1] @duckdb/node-api - [1.3.3] @duckdb/node-bindings - [1.3.3] duckdb - [1.3.3] This story is still unfolding. Keep an eye on our blogpost for updates
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AI-assisted attacks are here, and they will usher in a greater velocity in attacks. What does this mean for defenders? I spoke about this with a group of CISOs in an Expel boardroom session at a recent CyberRisk Collaborative event in Portland. Key takeaway: as AI makes it easier and faster to execute attacks, organizations must improve their mean-time to detect and remediate. It's not an arms race, it's a sprint to detect and contain attacks as quickly as possible.
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I couldn't agree more with Jason. I don't mean to hijack his post, but one of the things we are looking at is how threat actors could use AI to scan through the data they steal from ransomware victims to then best craft attacks against other organizations that were exposed by the event; suppliers, clients, affiliates, etc. It's a worrying prospect.
AI-assisted attacks are here, and they will usher in a greater velocity in attacks. What does this mean for defenders? I spoke about this with a group of CISOs in an Expel boardroom session at a recent CyberRisk Collaborative event in Portland. Key takeaway: as AI makes it easier and faster to execute attacks, organizations must improve their mean-time to detect and remediate. It's not an arms race, it's a sprint to detect and contain attacks as quickly as possible.
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If you leverage LLMs especially in a public facing context you need to pay attention to the attack vectors - this is an interesting one.
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The CTA: Enrich URLs and other IOCs with live attack data from 15K SOCs | Start now. It's FREE ->> https://lnkd.in/e2zdTC76
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Fail-open bot attacks turn your “safety net” into an open door — and most teams don’t even realize it’s happening. In his new blog, Arik Atar exposes how attackers intentionally trigger fail-open modes to bypass bot defenses, then launch ATO, scalping, and scraping attacks while your dashboards stay green. If you think uptime protections can’t be weaponized, read this → https://lnkd.in/gHsMTkjv Watch this Radware Minute to learn What is an API BLA attack? https://lnkd.in/gCDNZaCv
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