Articles by Scott
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NetApp E-Series SPC2 Benchmark follow up.
NetApp E-Series SPC2 Benchmark follow up.
As a follow up to my last post, here is a blog from Mike McNamara on the details of the EF SPC2 benchmark. Mike does a…
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E-Series #1 on SPC-2 benchmark
E-Series #1 on SPC-2 benchmark
Congrats to the E-Series team at NetApp with a #1 ranking on SPC-2 benchmark. EF560 is the leader in: 1.
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2K followers
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Scott Peiffer posted thisAzure SRE Agent flaw lets outsiders silently eavesdrop on enterprise cloud operations When a single multi-tenant token flaw can spill internal AI prompts and credentials, boards must rethink risk. CFOs and COOs, here are three essential questions to pose to your security organization: • How do we ensure every export from development or AI platforms is explicitly approved? • What are our estimated costs if internal reasoning and unique IP are exposed? • How do we prevent connector sprawl without hindering developer productivity? If you’re still relying solely on legacy DLP or vendor fixes, you’re leaving value at risk. Demand kernel-level prevention and human review processes—capabilities highlighted by platforms such as i4ops. What's your take? Plan for success, don't just hope for it. I respond to every comment. #governance #ROI #cybersecurity #infosec #boardroom
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Scott Peiffer shared thisHave a plan to protect your data, not just react to a bad situation.Scott Peiffer shared thisNikhil Gupta (great article on Mythos risk) suggested "heres what CISOs should focus on right now". - Vulnerabilities: Mythos uncovered _existing_ vulnerabilities. these vulnerabilities are present. Mostly zero-day, access and priv escalation. - Identifying sensitive data: Nikhil says Contextual Risk Scoring Through the Risk Intelligence Graph is essential. - whats next? how to keep the data safe and still derive benefits of using data? the bigger question is how to prevent data theft; people will get in The desired outcome is both using data and preventing data theft. The answer is Sovereign AI, provable data security - this works today. (great article by Nikhil Gupta) https://lnkd.in/efkE3ZnWAnthropic’s Claude Mythos and What it Means for SecurityAnthropic’s Claude Mythos and What it Means for Security
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Scott Peiffer shared thisPlan for success.... not use hope and old tools. Check with i4 Ops on how we can help you succeed.Scott Peiffer shared thisThe goal is not to stop AI but to operationalize trustworthy AI within existing risk and compliance frameworks — and to do so in a way that i4 Zero Exfil uniquely enables. Read more on our thoughts, here.AI with GRC: Embedding Governance, Risk, and Compliance into AIAI with GRC: Embedding Governance, Risk, and Compliance into AI
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Scott Peiffer shared thisPrevent data theft, think beyond the perimeter, AI agents are already in your environment and have the keys to move data. Prevention is key. Ask me how i4 Zero Exfil can keep the agents in check.Scott Peiffer shared thisMost security teams are tracking whether data crossed the perimeter. AI agents don't need to cross anything — they were already invited in. When an AI coding assistant has OAuth access to GitHub, Confluence, and Jira, the aggregation risk is structural. The agent can read, correlate, and compile sensitive information without triggering a single perimeter alert. The kill chain model has no phase for this because the attacker isn't attacking — it's working. i4 Ops was built to address exactly this gap. Our platform enforces kernel-level controls inside the environment where AI agents operate. Agents can work within defined boundaries; they cannot stage data for export or aggregate beyond approved scope without triggering an approval gate. This isn't bolt-on DLP. It's the infrastructure layer for deploying AI in sensitive environments — where the control model has to match what AI agents actually do. For organizations in defense, fintech, and biotech, this is the difference between managed AI deployment and hoping your perimeter tool catches something it was never designed to catch. I will respond to each and every comment, we'll both learn something. #DataExfiltrationPrevention #AIAgents #KernelSecurity #InsiderThreat #SovereignAI
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Scott Peiffer shared thisMindset matters. Prevention over faster detection is your better investment.Claude Code leak used to push infostealer malware on GitHubClaude Code leak used to push infostealer malware on GitHub
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Scott Peiffer shared thishttps://lnkd.in/gMvKyhB2 With today's security landscape, if data theft "Prevention over Detection" is not your approach, you need to make a change, quickly! i4 Zero Exfil prevents data breach, even with these malware attacks. Reach out and let's discuss how to keep your data secure, even with compromised credentials and rogue bots....Claude Code leak used to push infostealer malware on GitHubClaude Code leak used to push infostealer malware on GitHub
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Scott Peiffer reposted thisScott Peiffer reposted thisFocusing on business initiatives that really matter - Innovate with AI? Create Unique Value, and high ROI with AI (not fluff). - Protect assets, and still deliver unique value? Data breach is still daily news, AI only increases these risks. feedback? I will respond to all comments
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Scott Peiffer posted thisEvery time an AI agent flaw surfaces, I think about the business cost—not just the technical risk. Prompt injection in an AI with connector access isn’t a headline, it’s months of quiet IP loss, compliance exposure, and operational disruption. The real risk isn’t just the breach itself; it’s the lack of visibility and control during the aggregation phase. At i4 Ops, we see organizations rethinking their ROI on security investments: kernel-level isolation and human-in-the-loop data export cost less than a single regulatory penalty or lost contract. Are you quantifying the financial risk of low-and-slow exfiltration by AI agents, or only reacting after the fact? I will respond to each and every comment, we'll both learn something. #BusinessRisk #SovereignAI #OperationalROI #DataExfiltration
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Scott Peiffer shared thisPersistent insiders are a real threat. Have a plan to contain them. i4 Ops can help build that plan with you.Scott Peiffer shared thisAI agents, like OpenClaw, are exactly the kind of low-and-slow exfiltration that keep me up at night. AI agents, like OpenClaw, introduce a privileged, persistent insider that never sleeps, stores sensitive data locally, and is a goldmine for attackers. My view: if your security relies on catching data after it moves, you’ve already lost. Kernel-level enforcement can control what actually leaves. We built i4 Ops for moments like this—when AI agents, contractors, and malware all blend into the same risk. Are you treating AI tools as first-class insider threats, or are they flying under the radar in your environment? I will respond to each and every comment, we'll both learn something. #sovereignAI #dataexfiltration #insiderthreat #controlledexport
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Scott Peiffer liked thisScott Peiffer liked thisEver had that sinking feeling when a major IT program starts unraveling—scope creep everywhere, stakeholders pulling in different directions, and your team's morale in the gutter? I've been there. As a tech lead, I once juggled three cross-functional teams on a high-stakes rollout. Milestones slipped, risks piled up, and "managing up" felt impossible. It taught me: IT leadership demands more than technical chops—it needs structured program management tailored for our world. That's why I recommend **"Program Management for IT Professionals" by Hubbert Smith** on LinkedIn Learning. the break down: - Frameworks built for IT environments - Stakeholder communication and managing up - Risk management and scope control - Cross-functional coordination and alignment No fluff—just tools to handle real scenarios like yours. If you're an IT pro eyeing management, a program manager in the trenches, or a technical lead fighting project chaos, this course equips you to lead effectively. Watch it in full today—it's the steadying hand you need. Tag a colleague who's navigating this now and share the wisdom.
Experience & Education
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i4 Ops
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Publications
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Granted two patents (US 6,574,680 & 7,562,264)
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Other authors -
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Granted two patents (US 6,574,680 & 7,562,264)
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Other authors -
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Granted two patents (US 6,574,680 & 7,562,264)
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Other authors -
Patents
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Fault tolerant soft error detection for storage subsystems
Issued US 7562264
See patentA method and apparatus for detecting soft errors in a storage subsystem is provided. Write data generated for a write operation in a first controller is concurrently generated in a second controller and written to a storage device by the first controller. Soft errors are detected by comparing the two sets of write data by comparing respective checksums or the write data read back from the storage device by the second controller.
Languages
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Spanish
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Portuguese
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