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A routine login and a high-value transfer come with different risks. So why treat them the same? With Authsignal, you can introduce adaptive MFA and risk-based step-up verification across the customer journey, applying stronger authentication when it matters without slowing down every interaction. Stronger security when you need it. Less friction when you don't. See how Authsignal works.

Your customers want to move money quickly and securely. Unnecessary authentication steps can interrupt their experience at the moments that matter most. Authsignal brings passkeys, adaptive MFA and risk-based verification into your existing customer journeys, helping you deliver better experiences while keeping security front and center. Give your customers a smooth experience, backed by an authentication layer that's quick to integrate and a team that supports you through deployment. Explore Authsignal.

A single misconfigured vault or unpatched backup system is an open door - and ransomware gangs target backup systems first, because corrupting your last line of recovery hands them the leverage. StorageGuard (by Core6) validates your storage and backup configurations against security best practices and compliance requirements — catching risks before attackers do.

Manual health checks for your storage & backup systems don't scale. Its time to automate posture checks across your entire environment - Dell, NetApp, Hitachi Vantara, Everpure, Rubrik, Cohesity, Commvault, etc.

⚠️ A long list of IOCs is not a threat-led test. Before a DORA TLPT begins, teams need to know which actors, infrastructure, and techniques are relevant to their organization. ⚡️ ANY.RUN supports DORA TLPT preparation with threat intelligence and behavioral analysis, helping teams research relevant actors, infrastructure, malware behavior, and attack techniques before testing begins.

⚠️ DORA TLPT is performed against live production systems. That makes preparation critical: scope, risk controls, communication arrangements, realistic scenarios, and the right threat intelligence all need to be in place before testing begins. Learn what DORA requires from a threat-led penetration test and how TIBER-EU fits into the process.

Panel 1: “What happens to our data and model weights during inference, training?” That’s the question I’m opening with when I moderate the first panel at the Fortanix Confidential AI Summit at NVIDIA GTC Berlin next Thursday. On stage with me: Erik Bohnhorst, NVIDIA Kabir Gill, ElevenLabs Víctor Mateu, Technology Innovation Institute Allen Roush, Alpha Compute Most enterprise teams have encryption at rest and in transit covered. The gap is during inference, when prompts, model weights, and sensitive inputs sit exposed to whatever shares the machine. On-prem doesn’t close it on its own. Register for the Confidential AI Summit: https://lnkd.in/gsyVWtam Stay tuned for second panel! #confidentialcomputing #secureai #aisafety #confidentialai #genai #nvidia #gtcberlin2026

Your shipped app reads like an open book. API keys, backend hosts, storage buckets and every class name sit in plain text for anyone who downloads it. See what attackers find on page one.

Every app store release hands attackers a copy of your app. They take it apart, modify it, run it on a rooted device. See what they find, and what Ditto Protect takes away.

Governance is the seatbelt that lets you scale AI agents safely. Get the free CISO guide with decision boundaries, containment controls, and a checklist.

Logs capture events, not reasoning. Find the blind spots agentic AI creates in your security stack. Get the free CISO guide and checklist.

Een mailtje van een collega. Of toch niet? Op 1 september kreeg Huisartsencentrum Klein Iterson bericht van hackers: alle data zou gestolen zijn. Binnen een paar uur veranderde huisarts en praktijkhouder Bas Broeders in crisiscoördinator. Hij moest meldingen doen, aangifte doen, patiënten informeren en tegelijk zijn praktijk draaiende houden. Een maand lang kon hij zijn eigen werk niet doen. In dit webinar vertelt Bas openhartig wat er gebeurde, wat hij nu anders zou doen en welke lessen jij kunt meenemen. [@]Lodi Hensen leidt het gesprek en deelt zijn ervaringen met dit soort incidenten. Dit webinar is voor IT-managers en iedereen met IT-verantwoordelijkheid in kleine en middelgrote zorgorganisaties Meld je gratis aan voor het webinar op 11 november. Kun je er niet live bij zijn? Schrijf je dan toch in, dan ontvang je de opname achteraf.

Have had several conversations with customers over the past few weeks about vendors deepfaking their executives without permission. I was surprised to hear this. In the business we're in, trust is critical, and we think it's important to get permission before generating a deepfake. See more on our stance at Doppel here: https://lnkd.in/guD-hwBA

Software engineers no longer code manually. Why should security engineers have to? We have been early adopters of AI coding experiences since day 1 at Doppel, and we’re bringing those user experiences to the security stack. In particular, we most recently announced our entry into email security. Many of the incumbent “AI-native” email solutions aren’t quite that – still opaque black boxes or convoluted white boxes that are difficult to reason through, debug, and update. True AI-native defense replaces this experience with reasoning-based agents. It turns the day-to-day workflow from a debugging nightmare into a peer-to-peer conversation with an autonomous agent. And it enables autonomous patching without human-in-the-loop. Alvin Lin and I just published a new piece breaking down the core vectors of this architecture. If you're curious about how we're approaching the future of inbox defense, give it a read: https://lnkd.in/grRSYdbU

Protecting critical infrastructure means protecting the services that keep our societies functioning – and more importantly the trust people place in them. Following the event co-hosted with Access Partnership, I have been reflecting on the value of bringing together critical infrastructure operators, cybersecurity experts and public institutions. Across energy, telecommunications, manufacturers, international humanitarian organisations, public administration, and defence, the challenges are interconnected and need a common response. Three reflections stand out for me. First, the evolving regulatory framework is reshaping how organisations assess risk and select technology. Translating requirements into practical security measures takes work and resources, particularly when organisations operate across sectors and borders. Long-term decisions need to support compliance today while allowing organisations to adapt as expectations, policies, and geopolitical relations evolve. Second, choosing a trusted technology partner is a strategic decision. Technical capability matters, alongside responsible transparency, accountability, continued investment in innovation and a demonstrable commitment to the organisations and communities being protected. Trust is built through consistent actions over time. Third, public-private dialogue is crucial to the resilience of organisations and the society. Critical infrastructure operators understand the realities of delivering essential services while technology providers bring insights into threats and defences. Public institutions bring policy direction and a wider view of society’s needs. Bringing these perspectives together is necessary to turn shared concerns into practical partnerships. My strongest takeaway is that cybersecurity must be part of how we design, operate and modernise critical infrastructure. The partnerships we build today will shape our ability to withstand disruption tomorrow. Thank you to Access Partnership and everyone who contributed with their experience and perspectives. Let’s keep the dialogue going - and translate it into action together. Dr. Tommaso De Zan, Trevor H. Rudolph, Alain Sanchez #Cybersecurity #ProtectCriticalInfrastructure #Resilience #PublicPrivatePartnership

Decades of business know-how are becoming part of your AI agents and models. How are you protecting that knowledge while AI puts it to work? Deloitte’s latest article highlights DataKrypto’s role in answering that question. As enterprises embed their expertise, decision rules and proprietary processes into AI, they create what the article calls “Capital Intelligence”: business knowledge that becomes an executable competitive asset. Protecting that asset requires security that extends into AI execution. Encryption at rest and in transit leaves a critical exposure when data and models are decrypted for processing. DataKrypto extends encryption to data and models while they are in use, helping enterprises put their intelligence to work while protecting the knowledge behind it. Deloitte identifies this Confidential AI approach as a natural complement to Solaria, its agentic AI platform. For business leaders, the implication is clear: protecting the intelligence behind your AI is part of protecting the return on your investment. Read Deloitte’s perspective: https://lnkd.in/gcw-dZ8s Explore the full analysis on our site, including where enterprise intelligence is exposed and how to protect it: https://lnkd.in/gkasJdP2 #ConfidentialAI #AgenticAI #AISecurity

You send the proposal, then find out they’ve gone with someone cheaper. In this free live session for UK MSP owners, Mit Patel, Founder & CEO of Assurix, covers how to handle a cheaper quote, back up “our service is better” with something prospects can check, and make your proposal explain why you’re worth the difference. You’ll also get a cheat sheet to use with your own prospects.

Imagine if the entire internet was scanned and we knew what was exposed across all 65,535 ports. Well, it was and here are the results: Thirty years ago I remember dialing into the internet. I connected, surfed the web, checked email and then disconnected so my dad could have the phone line back to make calls. Today everything is connected, all the time. As someone who went on to work as a penetration tester for years, it was always amazing to me that we're only milliseconds away from nearly any connected device in the world, digitally. However, what started as a fascination has become scary. The shape of the internet as a whole, has become a nightmare. There's a report that just came out called the "2026 State of the Internet Report" that includes data from the entire internet, literally. The report was written by Censys, who scans 218 million hosts, 17 billion certificates, and 2.4 billion web properties. They scan the entire IPv4 address space across 65,535 ports and leverage DNS to discover IPv6 systems and detect more than 200 protocols. This year the report focuses on 5 key areas of internet exposure: 1. The Shape of the Internet: the biggest takeaway here is that services aren't living on default ports. 34% of SSH, 68% of HTTP(S) and 96% of SOCKS proxies are running on non-standard ports. The issue here is that security practitioners and detection methods typically look in default places. This makes it extremely hard for an organization to understand what's exposed. 2. Vulnerability Response: If software is old, it probably isn't going to be updated. Four case studies done over two years showed that older software wasn't really being updated. Middle aged software saw the largest share of updates. So those older systems still hanging around are extremely dangerous. 3. Industrial Control Systems and Critical Infrastructure: As of 2026, North America leads in ICS exposures. This represents 38% of the global ICS landscape. Over 80% of ICS systems run non-ICS services like HTTP, SSH, or FTP, increasing the attack surface. 4. Threat Infrastructure and Adversary Tools: Across the globe, China and the U.S. host most of the world's malicious software and services. China hosts 36.6% of malicious host-level infrastructure (C2s). The U.S holds 45.5% of web based threats like phishing and other deceptive pages. 5. Exposed AI Infrastructure: 267,915 unique hosts were observed exposing AI/LLM related tools. This rose 63% in just nine months. A recognizable AI infrastructure stack is emerging on the public internet. Exposed systems across 20+ categories were seen forming the layers needed to operate AI workflows. I've only touched lightly on these 5 categories, but this is easily the best report I've read this year. It's important that we understand exposure and the risks that come with it. Check out the report at: https://tr.ee/45hqnV Thank you Censys for letting me partner with you so I could share this information.

Bank account verification now sits at the intersection of fraud prevention, compliance, and customer experience. When it works, money moves quickly. When it doesn't, the impact shows up fast: ACH returns, fraud losses, abandoned onboarding, and operational strain. The question isn't whether you verify bank accounts. It's whether you're performing the right verification checks before funds move. Read our guide to see how your bank account verification strategy stacks up today.

When we started Cyberhaven, data lineage in security was an idea most people hadn’t heard of. Today it’s everywhere, and every DLP vendor seems to have “lineage” on their slide. Honestly, that makes us proud. We pioneered data lineage for data security, and it’s a bit like watching your kid grow up and seeing the whole neighborhood try to copy their style. But not all lineage is the same. Building lineage that holds up at enterprise scale is hard. It means: - A purpose-built graph engine handling roughly a trillion nodes, fast enough to block in real time - Endpoint sensors that cover every way humans and AI agents move data, while using a median of 0.2% CPU - AI that understands business context, so DLP stops being a game of thousands of exceptions and endless false positives Volodymyr Kuznetsov, Radu Banabic, and I wrote up what we’ve learned from years of building this, including what it really takes to tell lineage that works apart from lineage that only looks good in a demo. Because not all lineage is the same - https://lnkd.in/gy5hPPEK #DataSecurity #DLP #DataLineage #AI #Cybersecurity

Keep critical operations running while detecting, identifying, and mitigating drone threats with precision and control.

Transform a drone threat into a controlled outcome. Take over the drone and land it safely, without unnecessary disruption.

Security leaders are moving from annual, one-size-fits-all training to continuous, data-driven programs that measure real risk reduction. Hoxhunt automates the process, so you spend less time managing training and more time preventing breaches. See how it stacks up against your current setup.

Payment data is part of the picture. Explore IPQS honeypot-sourced intelligence for more context on proxies, bots and abuse.