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Ayal Yogev shared thisExcited to join the Forbes Technology Council.Ayal Yogev shared thisWelcome Ayal Yogev, CEO of Anjuna Security, to Forbes Technology Council! With a strong background in innovation, digital strategy, and tech leadership, Anjuna brings valuable insights that will enrich our community. Forbes Technology Council is an invitation-only organization for world-class technology leaders and innovators. https://hubs.li/Q04r2GKN0
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Ayal Yogev shared thisExcited to launch Anjuna Overwatch. The best way to protect and supervise AI agentsAyal Yogev shared thisWhen we talk to security leaders about agentic AI, two fears come up consistently. One: what if the agent does something it wasn't supposed to? And two: what if the system governing the agent is compromised? Until now, the honest answer to both was: not with certainty, because the governance layer is only as trustworthy as the environment around it. If that environment is manipulated, the protection disappears. Today, we're addressing the questions with the launch of Anjuna Overwatch, the industry's first trusted control plane for autonomous AI agents. Built on confidential computing technology, Anjuna Overwatch runs inside a Trusted Execution Environment (TEE), making the control layer itself incorruptible, verifiable, hardware-enforced, and protected. It enforces context-aware policies on tool use, data access, and agent behavior in real time. Read the press release: https://lnkd.in/gYEPmZaS #ConfidentialComputing #ConfidentialAIAnjuna Security Launches Industry's First Trusted Control Plane Built Upon Confidential Computing to Secure the Age of Autonomous AIAnjuna Security Launches Industry's First Trusted Control Plane Built Upon Confidential Computing to Secure the Age of Autonomous AI
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Ayal Yogev reposted thisAyal Yogev reposted thisEnterprises are running AI agents to process workloads that include sensitive data such as financial transactions, proprietary telemetry, or customer behavior. All of which, if exposed, would hurt the business tremendously. Enter #ConfidentialComputing, now resurging as a security priority for CIOs. Read how CC closes the security gap for AI-first CIOs: https://lnkd.in/gY28xTB2Confidential Computing: The Critical Enabler for AI-First CIOs in 2026Confidential Computing: The Critical Enabler for AI-First CIOs in 2026
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Ayal Yogev reposted thisAyal Yogev reposted thisThe most recent cybersecurity strategy from the White House calls for strengthening various pillars of defense. Read how Anjuna and confidential computing help enterprises address the priorities listed in the strategy: https://lnkd.in/g6ppPmZu #ConfidentialComputingHow Anjuna and Confidential Containers Can Help Deliver America's Cyber PrioritiesHow Anjuna and Confidential Containers Can Help Deliver America's Cyber Priorities
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Ayal Yogev reposted thisAyal Yogev reposted thisAI Agents are non-deterministic. You give them a goal, and they go figure out how to reach it. Anjuna Security CSO Mark Bower describes it as "1,000 very enthusiastic interns being given a task and going off to do it." That's a feature and a security nightmare at the same time. The platform built by Ayal Yogev and Yan M. keeps data encrypted even while it's being processed — and their new Agent supervision layer enforces boundaries in real time, at the hardware level. In the piece: how confidential computing works, why agentic AI is forcing enterprises to rethink data protection, and why Bower thinks 2026 is the year it becomes a must. https://lnkd.in/gsRxmKQW
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Ayal Yogev reposted thisAyal Yogev reposted thisBack in February (seems like an eon ago!), I was fortunate enough to talk to Nizar Jamal, CTO at Payfinia about their use of Confidential Computing as a business enabler for Zero-Trust. Payfinia are a fast growing B2B FinTech offering next-generation FedNow instant payments in the US. For those interested who missed it, the video is below. Big thanks to the Cloud Security Alliance for the excellent FinTech showcase. If you are in payments or financial services like many of our customers handling sensitive data, please don't hesitate to connect to learn more. Confidential Computing is a powerful fit for mitigating insider risk, attack risk, and eliminating third party human risk with a hardware-assisted foundation for zero trust. #payments #confidentialcomputing #fintech #CSA #cloud #3rdpartyrisk #encryption #TEE https://lnkd.in/gMGJE2z7Confidential Computing for Fintechs: Instant Payments Processing | FinCloud Summit 2026Confidential Computing for Fintechs: Instant Payments Processing | FinCloud Summit 2026
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Ayal Yogev shared thisThe right security solutions have always reduced risk to pave the way for adopting new technologies. Confidential computing is what enables AI for enterprises.Ayal Yogev shared thisConfidential Computing - the critical enabler for AI-first CIO’s in 2026 We agree with InformationWeek: confidential computing is on the CIO agenda because it closes a critical security gap that matters more than ever, especially for modern AI - provable trust, and protected data in use. This matters most for CIOs, CISOs, and leaders responsible for regulated data, sensitive analytics, AI workloads, and trusted agentic collaboration. The next question is not why confidential computing; it is where to use it first for the greatest business and security impact. Read about it: https://lnkd.in/g9xW5bj3Confidential computing resurfaces as security priority for CIOsConfidential computing resurfaces as security priority for CIOs
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Ayal Yogev reposted thisExcited for Anjuna to showcase real-world use cases for Confidential computing in tomorrows concise and to-the-point session with Punch Tape. Cloud risk has shifted: it is no longer just about keeping data safe at rest and in transit. Modern attacks, insider access, privileged operators, and accelerating privacy and sovereignty expectations mean the runtime is the new battleground. If sensitive data or models can be accessed while workloads are running, your controls are incomplete. In this session we will show, in practical terms, how Confidential Computing helps you: - Secure high-value transaction applications - harden keys, wallets, signing, and critical services against insider and supply-chain risk. - Enable compliant cross-organization collaboration - share datasets or run joint processing while keeping each party’s data isolated and governed. - Protect sensitive AI cloud - run rich data without exposing it to admins, operators, agents, or compromised infrastructure. If you are responsible for cloud security, risk, or regulated innovation, this is worth your time. Link below. #confidentialcomputing #TrustedExecutionEnvironment #TEE #dataprivacy #runtime #cloudAyal Yogev reposted thisCome by our Secure Compute & Trusted Execution event tomorrow, Feb 3rd to better understand the impact of confidential computing from our sponsor Anjuna Security and their CSO Mark Bower!!!! https://lnkd.in/g-Bc_uSa #confidentialcomputing
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Ayal Yogev shared thisThanks for a great conversation Tim Tonella!Ayal Yogev shared thisThink your data is secure in the cloud? Guess again. Your competitors - and your cloud provider - may still have access to it. I had a chance to sit down recently with Ayal Yogev, CEO and Co-Founder of Anjuna Security to get his thoughts on an emerging shift in cloud security, commonly referred to as Confidential Computing. Most companies encrypt data at rest and in transit, leaving a major vulnerability when the data is actually being PROCESSED. Confidential computing solves that by ensuring no one - not even your cloud provider - can see your code or data while it's running. As a result, confidential computing opens up entirely new forms of collaboration between competitors, governments, and even AI startups. Ayal’s background in Israel Defense Force Unit 8200, as well as senior product leadership roles at companies like OpenDNS, gives him a unique perspective on data security and how large enterprises may not be a safe as they think! We also talked about Ayal's time at Y Combinator and some of those life long take-aways early stage founders can learn from such a great experience. 👉 To see the full pod episode with Ayal, click on the link in my Comment section below. #venturecapital #executiverecruiting #AI #security #startups
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2mo
Congrats Daniel P Petrozzo!
Ayal Yogev replied to a comment
11mo
Jerry Pearring yes. We're seeing other industries like defense, Healthcare, manufacturing, and retail starting to use it, and eventually it will be everyone - like always happens with security solutions that are easy to use and have a low enough performance impact.
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Ayal Yogev liked thisAyal Yogev liked thisAnjuna Seaglass, the Universal Confidential Computing Platform, is now available for the datacenter. The proven, frictionless solution for securing sensitive workloads that protect data in-use, at-rest, and in-transit in multi-cloud environments now extends seamlessly to AMD SEV hardware in your own data center. Anjuna Seaglass enables fully secured and attested container workloads on bare metal for customer and partner datacenter operation, all without code changes, kernel modifications, or the need to learn a new operational model. Read the blog for more information:https://lnkd.in/ghQmvVik #ConfidentialComputing
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Ayal Yogev liked thisAyal Yogev liked thisDelphos Labs has been selected by AFWERX for an SBIR Phase I focused on AI-automated analysis of source-denied software artifacts. Air Force missions run on software drawn from a vast and complex supply chain, and much of it is closed source. That software has historically had to be taken largely on trust. When someone needs a real answer about one of those files, the work falls to a small number of reverse engineers. In this Phase I we're evaluating how to put that capability in the hands of many more Air Force analysts, across a far greater volume of software. Grateful to AFWERX and the Air Force Research Laboratory for the opportunity, and proud of the team that got us here. Delphos makes software understandable and auditable even without source code, allowing analysts to vet third-party software, investigate malware, and find vulnerabilities. We do that across compiled binaries, installers, software packages, Android applications, Chrome extensions, compressed archives, firmware, and other software artifacts. https://lnkd.in/g5h9RB6rDelphos Labs Selected by AFWERX for SBIR Phase I to Advance AI-Powered Analysis of Software ArtifactsDelphos Labs Selected by AFWERX for SBIR Phase I to Advance AI-Powered Analysis of Software Artifacts
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Ayal Yogev liked thisAyal Yogev liked thisAnjuna today announced its flagship #ConfidentialComputing product Anjuna Seaglass now runs on the latest #AMD Secure Encrypted Virtualization (SEV) hardware for datacenters. Enterprises and organizations in regulated industries that operate with sensitive data and applications can now protect them without code changes or a new operational model to learn. Read the announcement here: https://lnkd.in/gAhaQUTn
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Ayal Yogev liked thisAyal Yogev liked thisAs confidential computing moves towards ubiquity, one of the questions people often ask is: what about the performance impact of confidential workloads vs non-confidential workloads? To address this concern, Microsoft has taken advantage of Intel® Trust Domain Extensions (Intel® TDX) to launch the next generation of Azure confidential VMs powered by 5th Gen Intel® Xeon® processors, now generally available. The Intel TDX-based DCe(d)sv6 and Ece(d)sv6 confidential VMs offer a solution that allows customers to lift and shift existing workloads with minimal effort and very little performance impact. With Intel TDX you can protect your data while it is in-use with near-zero performance overhead on compute intensive workloads, and no additional cost compared to a standard non-confidential VM without TDX. This milestone builds on a long history of collaboration between Microsoft Azure and Intel to make advanced security capabilities more accessible for real-world enterprise workloads. Read the full white paper here --> https://lnkd.in/ghTHyQ6A #IntelXeon #IntelTDX #AzureConfidentialVMs #ConfidentialComputing #Azure #Intel #SecureAI #IamIntel Vikas Bhatia, Mark Russinovich, Arun Kishan, Ravi Rao, Radhika R., Bryan Hiestand, MBA, Mike Reed, Dutch Yerton, Simon Johnson, Kevork KechichianPerformance of Confidential VMs with Intel® Trust Domain Extensions (Intel® TDX) on Microsoft AzurePerformance of Confidential VMs with Intel® Trust Domain Extensions (Intel® TDX) on Microsoft Azure
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Ayal Yogev liked thisAyal Yogev liked thisNew: UBS is hiring Nicole Su from J.P. Morgan to lead its AI investment banking efforts, according to an internal memo reviewed by The Information. Su will join the bank later this month as its head of emerging AI technology banking in the Americas, according to the memo. She will be based in Menlo Park, Calif., and will report to Laurence Braham, UBS’s global co-head of technology investment banking. Major investment banks have been setting up coverage groups focusing on frontier AI labs and AI-native startups as these companies’ valuations soared quickly. Read more here: https://lnkd.in/exRwNyhgExclusive: UBS Hires JP Morgan Banker Su to Ramp Up AI Banking EffortsExclusive: UBS Hires JP Morgan Banker Su to Ramp Up AI Banking Efforts
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Ayal Yogev liked thisAyal Yogev liked thisconsidering recent announcements in the news from various vendors in the data / data pipeline markets 1) Security is such an attractive growth market that these data centric vendors with little to no security expertise (you know the ones) think to themselves "why not go after the security market?". However, holding the data or owning the data pipeline doesn't mean you have the expertise or organizational/security context to do anything meaningful with it...... 2) Throwing an LLM on top of a bunch of SIEM findings does not deliver an agentic SOC - except in marketing 3) The agentic SOC market will follow the path of SOAR - which used to be a stand alone market but now is largely subsumed into security operations platforms ... with a few remaining standalone offerings 4) That the best agentic workflow automation comes from having the best context graphs on which agents can reason over. Better context, better outcomes. This favors either a) larger vendors with more first party offerings or b) smaller vendors with hundreds of connectors to gather context
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Ayal Yogev liked thisAyal Yogev liked thisI'm thrilled to share that Jason Forget has joined Resolve AI as our President and Chief Revenue Officer. I was looking for someone who could both build and scale, a combination that is remarkably hard to find. Jason has done it, not once but three times, taking companies like Redis from founder-led sales to predictable, repeatable engines that scaled to hundreds of millions in ARR. Having now led Sales myself for the last year, I fully appreciate that scaling it is more science than art. But the science of SaaS sales broke with AI. One more reason why I am so excited about Jason. He is the smartest sales leader I spoke with in the last six months. He deeply understands how to build playbooks and scale a customer-facing organization, but he is also a first-principles thinker who knows which rules still apply and which need to be rebuilt. Jason arrives at an inflection point for us. Resolve is delivering significant ROI inside some of the world’s largest enterprises, growth is accelerating, and demand is pulling us forward. I’m proud of the team we have built, but given the scale of the opportunity in front of us, we now need to build a world-class commercial organization: exceptional talent, deep customer obsession, repeatable playbooks, and an operating cadence that can keep up with our growth. That is Jason’s craft. The market is arriving at the same time. AI has made it dramatically faster to write and ship software, but not easier to run it. More code means more services, more dependencies, more incidents, and the same engineers carrying the pager. The next chapter of AI in software engineering isn't only about agents writing code. It's about agents running it. Jason is also a great human and a great fit for how we work, which mattered to me as much as everything he has accomplished. Welcome, Jason. Let’s build. 🚀
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Ayal Yogev liked thisAyal Yogev liked thisIn cloud operations, the concept of "sovereignty" usually means the geographical and jurisdiction boundary of data. However, there's another concept: operational sovereignty that means no party outside your control, including the cloud provider's own administrators, can read or alter your data or workload. Attackers barely need zero-days anymore. Snowflake, Salesloft Drift, and Vercel-Context.ai were all breached through valid credentials and trusted integrations. And AI is compressing exploit timelines even further, where software boundaries can't outrun. Once an attacker holds a legitimate token, policy offers no second line of defense. Real operational sovereignty has to be enforced in hardware: confidential computing with cryptographic attestation. Read Mark Bower's full breakdown here: https://lnkd.in/g4XcjSw8 #ConfidentialComputing #CloudSecurity #DataSovereignty #CyberSecurity
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Corey Bonnell
This approach depends on proper ACME client support for ARI, but that support is not yet universal today. More clients will need to handle ARI correctly as well as ensure that users deploy updated clients with this proper support. It also shows the need for strong monitoring. Both the short-lived 7-day certs and the longer-lived "pseudo-revocation" (quick rotation as signaled by ARI) require certificates to be automatically replaced on a short timeline. If automatic deployment of the new certificate fails, you will experience an outage very soon, if not immediately. So it is important to monitor that certificates were actually deployed, not just issued. Excellent insights from Stephen Davidson, as per usual.
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Eilon Elhadad
$50M in 10 months - here’s how I think Echo got here: #1 We stayed in our lane. After Argon, we didn’t chase a new market for our second start up. We targeted a problem in the world of container vulnerabilities that we’d seen firsthand with every Fortune 500 company we worked with. #2 We prioritized partners from day one. We understood that ease of use is essential for cloud security solutions, so we started with our partners. We made sure that echo integrates with all of the major container scanners and registries so our customers wouldn’t have to change the way they work today. #3 We hired experts in our space. We brought in engineering, product, and sales leaders who didn’t require training wheels in container security. They built the scanners and tools we now integrate with, bringing tons of expertise with them. #4 We made a deliberate choice to stand out. While deep cloud security experience mattered for building the product, we intentionally brought in marketing and design talent from outside the industry so we wouldn’t sound like everyone else. This Series A round is an exciting milestone, but it’s just the beginning. Big big things are coming, so stay tuned. N47 Notable Capital Hyperwise Ventures SentinelOne SVCI - Silicon Valley CISO Investments Eylam Milner
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Kevin Skapinetz
Lots of opinions still flying around about the Palo Alto Networks + CyberArk deal. Most focus on technical strategy - unified platforms, identity-first architecture, securing AI agents, converging the SOC with PAM. All valid. But, trust me, that's not how $25B software acquisitions get done. This was a sales expansion play. Pure and simple. Palo was shut out of identity budgets. No presence in IAM/PAM/IGA. That's a serious gap when you're competing with Microsoft's platform story or trying to be the "single platform vendor" for security. CyberArk couldn't access network/cloud/SOC budgets at Palo's scale. Strong in regulated industries, but limited distribution beyond their core PAM buyer. Now? Palo Alto's sales team can walk into identity/compliance teams they've never touched. CyberArk gets Palo's distribution engine and 70,000 customer relationships. They'll displace a number of competing solutions with enterprise license agreements and bundled pricing. They'll also optimize operating resources along the way. It's called deal synergy. An actual valid business use of that word. The tech integration story (pumping session telemetry into Cortex, JIT access through SASE) that's table stakes. Every vendor can draw those architecture diagrams and show off fancy sales decks with lots of arrows and cool new features. But you don't write a check this size for API integrations and a joint roadmap. You write it for P x Q. Price times Quantity. New buyers. New budgets. Expanded wallet share across different security domains. The technical strategy is the deck you show the board or investors for credibility. The go-to-market expansion is what underwrites the business case and why you actually do the deal.
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