SKS - IoT for Hospitals

SKS - IoT for Hospitals Updates on the latest game-changing Information Communications & Collaboration platforms, IoHC, Wire

We help forward-leaning hospitals and other healthcare provider organizations harness new cognitive, interoperable IoT technology, magnitudes more affordable than legacy RFID solutions while providing prescriptive and predictive analytics leveraging the power of IBM Watson and machine learning to lean out waste and inefficiencies in the delivery of patient care to cut cost, while improving quality and safety.

07/06/2026

As access to vulnerability discovery tools from Anthropic and OpenAI expands, Infosecurity Europe speakers warn of the next wave of frontier AI models on the near-term horizon.

AI-Speed Attacks Need AI-Native DefenseThe Beacon Technology Group (BTG) Next Generation Platform, Predictive, and Preem...
07/06/2026

AI-Speed Attacks Need AI-Native Defense

The Beacon Technology Group (BTG) Next Generation Platform, Predictive, and Preemptive AI stops breaches before they happen. built for this moment - in stealth - now proven, deployed and available. The logic is deliberately simple to state:

CYFAX tells you the door is open. PREVENT tells you someone walked in. ARETE tells you who, why, and who's next. No other vendor in the world can say that.

That sentence maps directly onto the three requirements above.

CYFAX delivers predictive threat intelligence through continuous surveillance of the underground economy — the dark-web marketplaces, forums, and channels where credential theft and access brokering happen before an attack executes. It's the advance-warning layer: the signal that the door is open while there's still time to close it.

PREVENT AI Assist (AAAD) — AI-Assisted Attack Detection — is built to identify AI-generated and non-human attack behavior in real time, with VORTEX, its integrated CTI/SOAR module, automating the response so a small team can act at machine speed instead of falling behind it.

ARETE supplies machine-learning attribution and forecasting — moving past what happened to who is behind it, why, and who they target next. When adversaries chain and adapt faster than humans can re-triage, attribution and forecasting are what turn raw detection into decision-grade intelligence.

And the CYFAX Compliance Cockpit closes the flywheel where it does the most damage: continuous, exam-ready evidence across more than 350 regulatory and security frameworks. The same platform that predicts, detects, and responds also produces the defensible audit trail — so the disclosure clock and the audit cycle stop competing with the remediation backlog for the same scarce hours.

This is one AI-native architecture, designed around how attackers actually operate — holistically, across time and context — rather than a collection of point tools fighting for the same dashboard. BTG's underlying AI-based threat-processing approach is the subject of a patent-pending filing.
The bottom line
The experts at Infosecurity Europe were right to warn about the sons of Mythos — but the framing matters. This capability democratizes vulnerability discovery for defenders and adversaries at the same time.

The organizations that come out ahead won't be the ones with the most tools or the biggest patch backlog. They'll be the ones that pair predictive prevention with real-time detection of AI-driven attacks and automated, exam-ready compliance — as a single, integrated discipline.

Patch management alone won't be enough. The window to get ahead of this is measured in months, not years.

If you're evaluating this convergence from a board, CEO, or CISO seat, I'd welcome the conversation — and I'll bring Rob Vazquez, BTG's CEO and Founder, to walk through the architecture in detail.

J. Steven Sprenger — Advisor, Beacon Technology Group | detect.solutions

Sources: Anthropic, "Project Glasswing"; TechCrunch and Cybersecurity Dive on the June 2026 Glasswing expansion; Help Net Security on Mythos vulnerability findings; CSO Online, "Beware the 'son of Mythos,' security experts warn" (June 4, 2026); Deloitte/WSJ, "It Is Time to Radically Transform Cyber."

As access to vulnerability discovery tools from Anthropic and OpenAI expands, Infosecurity Europe speakers warn of the next wave of frontier AI models on the near-term horizon.

"Our call answer rate is up 20 percent from 79% to 97%. We couldn’t speak more highly of RingCentral and the value that ...
06/06/2026

"Our call answer rate is up 20 percent from 79% to 97%. We couldn’t speak more highly of RingCentral and the value that they brought to our business and the level of availability for the platform, the stability, and the metrics that we see are night and day compared to where we were on any other system prior.” See how RingCentral is Healthcare was exactly what the doctor ordered for Sun River Health.

Read case studies on how RingCentral helped improve business communications of local and international companies.

When Murfreesboro Medical Clinic saw patient demand climb, call volume followed, and their staff was stretched thin tryi...
06/06/2026

When Murfreesboro Medical Clinic saw patient demand climb, call volume followed, and their staff was stretched thin trying to keep up. They brought in RingCentral AI Receptionist (AIR) to handle routine inquiries, so care teams could stay focused on what actually matters: their patients. Really glad to see AIR making a difference in healthcare. Check out the full story, via Talking HealthTech.

Collette Thomas, Director of Information Systems at Murfreesboro Medical Clinic, explains how her team improved the patient experience with AI Receptionist on the Talking HealthTech podcast.

CRMs are effective systems of record, but they don’t capture the full context of customer conversations. More enterprise...
02/02/2026

CRMs are effective systems of record, but they don’t capture the full context of customer conversations. More enterprises are testing conversational AI to surface insights that never make it into a CRM. This Forbes article, featuring RingCentral’s upcoming Agentic AI Trends report, explains why the shift is happening and how teams are using AI to better understand their deals and the “why” behind the data.

Conversational AI is gaining attention as enterprises look beyond CRMs to spot hesitation risk and momentum before forecasts break.

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