Matthew Beekman

Most “remote access” stacks weren’t built for regulated, hybrid, and high-assurance environments. That’s where they break: • Fragmented tools • Inconsistent policies across cloud + on-prem • Weak session oversight • Audit trails you can’t defend Netop Portal fixes that by acting as a single control plane for Zero Trust remote access across cloud, on-prem, hybrid — even air-gapped deployments. What you get in one pane of glass: ✅ Centralized governance (identity, policy, workflows, session oversight) ✅ Zero Trust by design (verify, authorize, log every access request) ✅ Enterprise-grade visibility (active + historical sessions; who/what/when/why) ✅ Granular RBAC down to devices/groups + temporary elevation workflows ✅ Audit-grade logging & reporting (actions performed, auth events, policy matches/alerts) Integrates cleanly with your ecosystem • Identity: Azure AD / Microsoft Entra ID, AWS IAM, SAML, OIDC • Monitoring/SIEM: Splunk, Azure Monitor/Log Analytics, CloudWatch/CloudTrail, Elastic, plus SYSLOG/HTTPS SIEMs If you’re managing thousands of endpoints, supporting legacy/critical systems, or governing vendor & contractor access, #Netop Portal is built for that reality. Try Netop Portal or book a technical demo: https://netop.com/portal/ #ZeroTrust #Akeydor #RemoteAccess #CyberSecurity #IAM #ITOperations #Compliance #OTSecurity #CriticalInfrastructure #Netop

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We need to talk about "intellectual freedom" in AI... and why it's a red flag. Last week, Fox News ran a story about SNAP beneficiaries threatening to ransack stores over government shutdowns. After getting called out, they quietly changed the headline to note the clips were AI-generated. No apology. No accountability. Just a stealth edit and moving on. This is concerning. This is the world we're building. I recently hosted a panel on AI regulation, balancing risk, ethics, and opportunity across different regulatory approaches. I lean toward innovation. I think that bias is usually right because over-regulation leaves you in the dust, and that's a real concern if the US wants to stay ahead in the AI arms race. But what makes this moment dangerous is that we are seeing innovation accelerate at the same time the US is drifting toward authoritarianism. If the US falls into authoritarianism, so will the internet. So will AI. That's what keeps me up at night. Back in February, OpenAI released an update emphasizing "intellectual freedom." The idea that AI should explore all perspectives without "arbitrary restrictions." It's been bothering me for months. I've wanted to write about it, but I'd become deeply embedded in ChatGPT. Most of my workflows were built around it. The problem with "intellectual freedom" is what it means in practice. The specific implementation of ChatGPT's guardrails is a black box. We're supposed to trust it blindly. Meanwhile, 'intellectual freedom' commits to neutrality and presenting multiple perspectives—even on topics where neutrality itself is a stance. False equivalence becomes the default. Climate change, democratic norms, basic rights presented as "both sides" debates. Claude is built on Constitutional AI, explicitly grounded in human rights principles. Is it perfect? No. The UN Declaration it references doesn't adequately cover reproductive rights or LGBTQ+ marriage equality. But Anthropic published their full constitution. You can read it. You can critique it. That transparency matters. When AI systems shape how millions understand truth, we can't just trust tech companies have good intentions. We need to see the principles. We need accountability. We need governance that holds bad actors responsible. We need AI that doesn't treat ideologies rooted in misinformation and human rights violations as legitimate viewpoints. I'm still using ChatGPT heavily, but I'm slowly shifting toward Claude. If our AI systems are going to serve democratic society, they need to be built on principles that reflect that. Innovation and ethics aren't mutually exclusive. We can lead in AI without abandoning democratic principles... Indeed this has always been America's edge. Transparency, accountability, and rights-based AI aren't nice-to-haves — they are table stakes for building technology that actually serves democracy. And as leaders in this space, it's on us to demand it now. #AIEthics #TechAccountability #DemocraticValues

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Troy Wilkinson’s opening meme perfectly illustrates the existential challenge of asset visibility in cybersecurity: everyone has a different number, and none are quite right. What used to be a simple IT inventory problem has exploded into a critical board-level issue, driven by sprawl, shadow IT, and the direct link between unknown assets and unmanaged risk. It's less about a static count and more about continuous coverage, clear ownership, and dynamic risk assessment. While automation and AI are key to cutting through the noise, how do organizations truly bridge the fundamental human and departmental disconnects that create the asset visibility gap in the first place, moving beyond technical solutions to integrate asset intelligence into the very fabric of business operations?

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Compliance Is Now a Revenue Gate In regulated US markets, control evidence decides who can bid. That makes compliance a revenue enabler, not overhead. What changed: NIST 800-171 and CMMC turn security posture into market access. If environments aren’t segmented, auditable, and monitored for drift, you are pricing yourself out of federal and defense-adjacent work before the RFP opens. CFO lens: • This is top-line eligibility, not G&A. • Treat compliant capacity like inventory: measurable, reservable, and yield-managed. Action: Create contract-segmented P&Ls (regulated vs commercial) with explicit control costs, utilization, and yield. Fund controls where they unlock pipeline.

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5 stats that should terrify every CISO in 2026: Deepfake creation up 400% since 2023. AI detection market hitting $5.5B by 2027. We're at the inflection point. As someone building @DeFake, I'm watching enterprises scramble to catch up. The gap between threat velocity and detection readiness? Growing daily. Swipe through for the full breakdown of what's driving enterprise adoption right now. #AIDetection #Cybersecurity #DeepfakePrevention

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Distribution is the moat even for the best product in its category and distribution is not cheap. Between 2021 and 2022, Google paid Apple about $38 billion to secure default search placements.

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Security compliance without strategy is just paperwork. HIPAA, PCI, and other frameworks demand real, provable protections. Valenture builds compliance-aligned security programs that hold up to audits and real-world threats. Avoid penalties with verified protection.

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📋 Compliance isn’t about checklists—it’s about proof. 🧪 Pen Testing Validates Security Controls HIPAA, PCI-DSS, GLBA, FINRA—show auditors real evidence. 🔍 See What Attackers See Identify risks before regulators—or criminals—do. 🛠️ Fix What Matters First Prioritized remediation saves time and money. 📅 https://lnkd.in/g69vAGji #Compliance #PenTesting #CyberSecurity #RiskAssessment #ITGovernance

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Lesson for everyone... Anne Neuberger argues that #AI is reshaping #cybersecurity into a machine-speed contest between attackers and defenders. While adversaries use AI to automate intrusions, she contends it can equally detect malicious code, flag anomalies and patch vulnerabilities faster than humans. “We need a network of secure defensive agents that can reason and react faster than any human,” she writes, urging government leadership, industry transparency and regulatory reform to accelerate AI-driven defence before attackers gain the upper hand.

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