"Cisco brings Splunk AI Tools to on-premises IT Platform."
Views expressed in this cybersecurity, cybercrime update are those of the reporters and correspondents. Accessed on 15 September 2026, 2347 UTC.
Content and Source: "The Techstrong Bried."
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Russ Roberts (https://www.hawaiicybersecurityjournal.net).
THE TECHSTRONG BRIEF
Tuesday, September 15, 2026
Your daily brief from Techstrong — all the signal you need to power your day.
★ TODAY’S SIGNAL Cisco is putting the full Splunk AI portfolio on the Cisco Secure AI Factory with NVIDIA, giving IT and security teams a fully on-prem stack for automating analysis, workflows and incident response. President Jeetu Patel framed the move as a vertically integrated platform play spanning custom silicon, photonics and the software layer above. Why it matters: As regulated enterprises balk at sending telemetry and security data to shared cloud AI services, an on-prem Splunk AI stack becomes the reference architecture rivals will have to answer. |
| More JFrog Artifactory Bugs Are Under Attack, and All Three Have Patches Wiz researchers say attackers are actively exploiting three patched JFrog Artifactory vulnerabilities — including a CVSS-critical authentication-bypass that hands over administrative access without credentials. Two of the flaws are being chained together to authenticate as legitimate anonymous users even when anonymous access is disabled. Why it matters: Artifact repositories sit upstream of every build pipeline, so a compromised Artifactory instance is a compromised software supply chain — patching windows here are measured against how fast exploit chains propagate. |
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| Ten Great DevOps Job Opportunities This week's roundup surfaces 10 open DevOps roles across platform engineering, SRE, and cloud infrastructure at companies actively hiring right now. The list spans senior IC and management tracks at both public tech and fast-growing startups. Why it matters: Hiring signal is a leading indicator of where DevOps investment is actually landing — useful for both candidates and leaders benchmarking comp and scope. |
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| PaperCut Flaw Compromise Illustrates the Maturing Use of AI By Attackers A likely Russian threat actor used multiple AI systems and hundreds of agents to exploit PaperCut flaws across hundreds of organizations. The campaign shows attackers assembling labs, target lists and repeated exploit attempts at machine speed, forcing defenders to shorten the distance from patch release to verification. Why it matters: AI is turning commodity vulnerabilities into scalable operations, making patch exposure and external attack surface a race against automation. |
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| Facing Steep Criticism Over Abuse, Flock Updates Platform But Draws Skepticism From Privacy Advocates Flock Safety says it will shorten license-plate data retention and make several safeguards mandatory after criticism of its automated surveillance network. Privacy advocates argue that tighter settings do not resolve the deeper concern around nationwide tracking and law-enforcement access. Why it matters: Surveillance controls matter only when affected communities can verify the limits, not simply read a new policy statement. |
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| Anthropic Signs $13.7 Billion Cloud Deal With Run:ai Group: Report Anthropic has reportedly signed a $13.7 billion multi-year cloud infrastructure deal to lock in the compute needed to train and serve its next Claude generations. The commitment stretches Anthropic's balance-sheet exposure to compute at the same pace as its enterprise revenue growth. Why it matters: Long-dated compute contracts of this size reshape which model providers survive the next capex cycle — and how much AI pricing power ultimately lands with hyperscalers. |
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| AI, the Fermi Paradox and the Problem of “You First” The debate over slowing AI assumes that competitors can agree on restraint while incentives reward whoever moves first. The Fermi-paradox framing turns that dilemma into a harder governance question: how can cooperation become credible when every rival fears falling behind? Why it matters: AI safety depends on enforceable coordination, not just shared concern about what happens if others ignore the brakes. |
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| Survey Surfaces Dissatisfaction With IT Services Provided by GSIs A survey of enterprise IT leaders reports widespread SLA breaches, misrouted incidents and contract overages in outsourced ITOps. Rising ticket volumes and rework are pushing organizations to evaluate AI-assisted triage and alternatives to traditional Level 1 support. Why it matters: Outsourcing stops looking efficient when routing errors and hidden charges consume the capacity it was meant to provide. |
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| Cornelis Moves Into Scale-Up AI Networking With Active Compute Fabric, $205M Funding Cornelis Networks introduced Active Compute Fabric alongside $205 million in funding to challenge proprietary AI interconnects. The design moves acceleration and collective operations into a programmable network built around UALink, Ethernet and Ultra Ethernet standards. Why it matters: As clusters grow, the fabric that keeps accelerators fed can matter as much as the accelerators themselves. |
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| Intel CEO: AI Power and Safety Concerns Can Be Resolved at Silicon Level Intel CEO Lip-Bu Tan argues that future silicon and packaging could cut AI power use to a fraction of current GPU levels while adding stronger hardware security. The promise is a more sustainable path for large agent deployments, but it arrives as communities question the footprint of new data centers. Why it matters: Efficiency claims will face their real test when lower compute costs meet local limits on power, water and trust. |
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| AMD and Xanadu Partner for Quantum Classical Computing Platform AMD and Xanadu introduced Backline, an open-source platform for linking quantum processors with AMD CPUs, GPUs and FPGAs at microsecond-scale latency. Treating quantum hardware as part of a heterogeneous system could help classical control loops keep pace with error correction. Why it matters: Quantum progress depends on the classical infrastructure that must react before fragile information disappears. |
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| Why CPU-Based Autoscaling Fails for Rails — and What We Used Instead For synchronous Rails traffic, request queue latency reveals user pain earlier than CPU or memory utilization. A Kubernetes platform serving many services can use that signal to scale workers before timeouts arrive, while reserving queue depth for background jobs. Why it matters: The right autoscaling metric turns a late infrastructure alarm into an early reliability control. |
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| Write Access Is the Easy Part: The Verification Gap in Agentic Kubernetes Remediation Giving an AI agent permission to scale, roll back or restart a Kubernetes resource is easier than proving the intended state was reached. Reliable remediation needs separate checks for state change, idempotence, application recovery and the absence of unintended side effects. Why it matters: Autonomous operations become safe only when a successful tool call stops being mistaken for a successful outcome. |
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| DIGITAL TRANSFORMATIVE LEADERSHIP |
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| Chinese Drone Maker DJI Pushes Back On Trump Ban DJI is challenging a proposed U.S. drone ban that classifies capabilities such as thermal imaging, lidar and autonomous docking as military-grade. The dispute shows how dual-use features can pull commercial technology into a national-security fight with billions in revenue at stake. Why it matters: Technology policy becomes harder to implement when the same capability serves firefighters, surveyors and defense users. |
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| Why the Data Center Supply Chain Belongs in the Boardroom AI capacity depends on a delivery chain spanning power, cooling, construction, networking, compute and financing. Boards that track only component prices can miss the more expensive risk: a delayed system that cannot turn capital into productive capacity. Why it matters: Data-center readiness is now a strategic outcome that belongs in board-level risk and investment decisions. |
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| Why Quality Engineering Needs to Be a Platform Discipline Large engineering organizations often rebuild test tooling and quality gates team by team until results lose meaning and pipelines slow down. A shared quality platform can standardize methods, execution, observability and reporting without forcing every team to maintain its own stack. Why it matters: Quality improves at scale when teams consume dependable defaults instead of duplicating fragile automation. |
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| The Internal Developer Platform Is Becoming the Enterprise AI Gateway Platform teams are being asked to provide approved models, inference endpoints, agent identities, token budgets and audit trails through self-service paths. Embedding those controls in the developer workflow can make governed AI easier to use than the browser tabs and personal credentials that fill the gap. Why it matters: The enterprise AI gateway will succeed when governance feels like a paved road rather than another approval queue. |
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 |  Headless DevOps for Agents from Copado | Techstrong TVCopado is extending DevOps automation into headless workflows that AI agents can call across Salesforce delivery processes. The approach puts release actions behind reusable interfaces so agents can move faster without turning every integration into bespoke plumbing. Why it matters: Agent-ready delivery needs standard interfaces that preserve control while removing manual handoffs. |
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 | Veracode Marketplace Tackles AI Security Vendor Sprawl Veracode’s marketplace approach brings AI security vendors and controls into a more coordinated operating model. The goal is to reduce the tool sprawl that makes AI-generated code risk harder to assess across enterprise teams. Why it matters: A clearer control surface can matter more than another scanner when security programs are overloaded with overlapping tools. |
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 | Remote Access for AI Agents from Phaze | Techstrong TV Phaze is building remote access for AI agents that need to operate racked workstations and on-premises compute. The use case highlights the infrastructure challenge that appears when agents must reach physical or private resources beyond a cloud API. Why it matters: Agentic systems need secure reach into real environments without inheriting the unrestricted access of a human session. |
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THE TECHSTRONG BRIEF
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