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The next major breach hitting your clients probably won't come from inside their walls. It'll come through a vendor they trust, a SaaS tool their finance team signed up for, or a subcontractor nobody in IT knows about. That's the new attack surface, and most organizations are underprepared for it. Cynomi's new guide, Securing the Modern Perimeter: The Rise of Third-Party Risk Management , makes the case that TPRM is no longer a compliance formality. It's a frontline security challenge and a defining growth opportunity for MSPs and MSSPs who get ahead of it. The Modern Perimeter Has Expanded For decades, cybersecurity strategy revolved around a defined perimeter. Firewalls, endpoint controls, and identity management systems were deployed to protect assets within a known boundary. That boundary has dissolved. Today, client data lives in third-party SaaS applications, flows through vendor APIs, and is processed by subcontractors ...

In December 2025 , we shared the first-ever The State of Trusted Open Source report, featuring insights from our product data and customer base on open source consumption across our catalog of container image projects, versions, images, language libraries, and builds. These insights shed light on what teams pull, deploy, and maintain day to day, alongside the vulnerabilities and remediation realities these projects face. Fast forward a few months, and software development is accelerating at a pace that most didn’t see coming. AI is increasingly embedded across the development lifecycle, from code generation to infrastructure automation, as models become more advanced and better at meeting the demands of modern work. This shift is expanding what teams can build and how quickly they can ship. It is also reshaping the security landscape. Before diving into the numbers, it’s important to explain how we perform this analysis. We examined over 2,20...

There is a character that keeps appearing in enterprise security departments, and most CISOs know exactly who that is. It doesn’t build. It doesn’t enable. Its entire function is to say "No." No to ChatGPT. No to DeepSeek. No to the file-sharing tool the product team swears by. For years, this looked like security. But in 2026, "Doctor No" is no longer just a management headache – it is a systemic security liability. Because when you block the work, users don’t stop. They reroute. The Tax-Evaders of Productivity When security feels like a tax on efficiency, employees find a way to "evade" it. The industry has long relied on Endpoint Agents to enforce control. But as any CISO knows, these agents come with a heavy "tax." They hook into the OS kernel, they’re invasive, they notoriously break during macOS updates, and they make high-performance machines run hot. The result? Users find workarounds. Files move into personal Gmail. Prompts are...

Google on Monday said it's officially rolling out Android developer verification to all developers to combat the problem of bad actors distributing harmful apps while "hiding behind anonymity." The development comes ahead of a planned verification mandate that goes into effect in Brazil, Indonesia, Singapore, and Thailand this September, before it expands globally next year. As part of this effort, Google is requiring app developers who distribute apps outside of Google Play to create an account in the Android Developer Console to confirm their identity. Those who distribute apps through Android's official app marketplace and have verified their identity may be "already set," the tech giant said. "For the vast majority of users, the experience of installing apps will stay exactly the same," Matthew Forsythe, director of product management for Android App Safety, said . "It's only when a user tries to install an unregistered app that...

On February 25, 2026, Gartner published its inaugural Market Guide for Guardian Agents, marking an important milestone for this emerging category. For those unfamiliar with the various Gartner report types , “a Market Guide defines a market and explains what clients can expect it to do in the short term. With the focus on early, more chaotic markets, a Market Guide does not rate or position vendors within the market, but rather more commonly outlines attributes of representative vendors that are providing offerings in the market to give further insight into the market itself.” And if Guardian Agent is an unfamiliar term, Gartner defines it quite simply. “Guardian agents supervise AI agents, helping ensure agent actions align with goals and boundaries.” Enterprise security and identity leaders can request a limited distribution copy of the Gartner Market Guide for Guardian Agents. Learning 1: Why Guardian Agent technology is important One need only to read the news- in the Wall Str...

Security teams have spent years building identity and access controls for human users and service accounts. But a new category of actor has quietly entered most enterprise environments, and it operates entirely outside those controls. Claude Code, Anthropic's AI coding agent, is now running across engineering organizations at scale. It reads files, executes shell commands, calls external APIs, and connects to third-party integrations called MCP servers. It does all of this autonomously, with the full permissions of the developer who launched it, on the developer's local machine, before any network-layer security tool can see it. It leaves no audit trail that the existing security infrastructure was built to capture. This walkthrough covers Ceros, an AI Trust Layer built by Beyond Identity that sits directly on the developer's machine alongside Claude Code and provides real-time visibility, runtime policy enforcement, and a cryptographic audit trail of every action the a...

Scaling cybersecurity services as an MSP or MSSP requires technical expertise and a business model that delivers measurable value at scale. Risk-based cybersecurity is the foundation of that model. When done right, it builds client trust, increases upsell opportunities, and drives recurring revenue. But to deliver this consistently and efficiently, you need the right technology and processes. We created The MSP Growth Guide: How MSPs Use AI-Powered Risk Management to Scale Their Cybersecurity Business to help providers transition to scalable, risk-first cybersecurity. Inside, you’ll find practical insights into the top challenges MSPs face, expert guidance on overcoming them, and a framework for selecting and implementing AI-powered risk management to unlock scalable, recurring revenue. Why Risk Management Is the Key to Scaling Cybersecurity Services Most MSPs offer critical cybersecurity services, from compliance support to endpoint protection, but these are often isolated en...

As AI becomes the central engine for enterprise productivity, security leaders are finally getting the green light — and the budget — to secure it. But there’s a quiet crisis unfolding in the boardroom: many organizations know they need "AI Governance," but they have no idea what they are actually looking for. The CISO’s Dilemma: You Have the AI Budget, but Do You Have the Requirements? As AI becomes the central engine for enterprise productivity, security leaders are finally getting the green light—and the budget—to secure it. But there’s a quiet crisis unfolding in the boardroom: many organizations know they need "AI Governance," but they have no idea what they are actually looking for. Without a structured way to evaluate the exploding market of AI Usage Control (AUC) solutions, teams risk "investing" in legacy tools that were never built for the age of agentic workflows and shadow browser extensions. A new RFP Guide for Evaluating AI Usage Control...

The Rise of MCPs in the Enterprise The Model Context Protocol (MCP) is quickly becoming a practical way to push LLMs from “chat” into real work. By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the enterprise. This is already showing up in production through horizontal assistants and custom vertical agents. like Microsoft Copilot, ServiceNow, Zendesk bots, and Salesforce Agentforce, with custom and vertical agents moving fast behind them. This echoes the recent Gartner “Market Guide for Guardian Agents” report , where analysts note that the rapid enterprise adoption of these AI agents is significantly outpacing the maturity of the governance and policy controls required to manage them. We believe the primary disconnect is that these AI “colleagues” don’t look like humans. They don’t join or leave through HR They don’t submit access re...

Introduction: Steal It Today, Break It in a Decade Digital evolution is unstoppable, and though the pace may vary, things tend to fall into place sooner rather than later. That, of course, applies to adversaries as well. The rise of ransomware and cyber extortion generated funding for a complex and highly professional criminal ecosystem. The era of the cloud brought general availability of almost infinite amounts of storage. So there is literally nothing that stops criminals from stealing and trafficking heaps of data, be it encrypted or not.  Patient adversaries are employing a "Harvest Now, Decrypt Later" (HNDL) strategy. They are quietly accumulating encrypted data with the intention of decrypting it later using quantum computers. Any data requiring long-term security, such as trade secrets or classified designs, is vulnerable because its lifespan will inevitably outlive its current encryption. Therefore, it is crucial that organizations begin planning their PQC migrati...

Why automating sensitive data transfers is now a mission-critical priority More than half of national security organizations still rely on manual processes to transfer sensitive data, according to The CYBER360: Defending the Digital Battlespace report. This should alarm every defense and government leader because manual handling of sensitive data is not just inefficient, it is a systemic vulnerability.  Recent breaches in defense supply chains show how manual processes create exploitable gaps that adversaries can weaponize. This is not just a technical issue. It is a strategic challenge for every organization operating in contested domains, where speed and certainty define mission success. In an era defined by accelerating cyber threats and geopolitical tension, every second counts. Delays, errors, and gaps in control can cascade into consequences that compromise mission readiness, decision-making, and operational integrity. This is exactly what manual processes introduce: unc...

Most identity programs still prioritize work the way they prioritize IT tickets: by volume, loudness, or “what failed a control check.” That approach breaks the moment your environment stops being mostly-human and mostly-onboarded. In modern enterprises, identity risk is created by a compound of factors: control posture, hygiene, business context, and intent. Any one of these can perhaps be manageable on its own. The real danger is the toxic combination, when multiple weaknesses align and attackers get a clean chain from entry to impact. A useful prioritization framework treats identity risk as contextual exposure, not configuration completeness. 1. Controls Posture: Compliance and Security As Risk Signals, Not Checkboxes Controls posture answers a simple question: If something goes wrong, will we prevent it, detect it, and prove it? In classic IAM programs, controls are assessed as “configured / not configured.” But prioritization needs more nuance: a missing control is a risk ...

With $5.5 trillion in global AI risk exposure and 700,000 U.S. workers needing reskilling, four new AI certifications and Certified CISO v4 help close the gap between AI adoption and workforce readiness . EC-Council , creator of the world-renowned Certified Ethical Hacker (CEH) credential and a global leader in applied cybersecurity education, today launched its Enterprise AI Credential Suite, with four new role-based AI certifications debuting alongside Certified CISO v4 , an overhauled executive cyber leadership program. The dual launch is the largest single expansion of EC-Council’s portfolio in its 25-year history. It addresses a structural gap that no single tool, platform, or policy can solve alone: AI is scaling faster than the workforce trained to run, secure, and govern it. The launch aligns with U.S. priorities on workforce development and applied AI education outlined in Executive Order 14179, the July 2025 AI Action Plan’s workforce development pillar, and Executive Or...

A new 2026 market intelligence study of 128 enterprise security decision-makers ( available here ) reveals a stark divide forming between organizations – one that has nothing to do with budget size or industry and everything to do with a single framework decision. Organizations implementing Continuous Threat Exposure Management (CTEM) demonstrate 50% better attack surface visibility, 23-point higher solution adoption, and superior threat awareness across every measured dimension. The 16% who've implemented it are pulling away. The 84% who haven't are falling behind. The Demographics of the Divide The research surveyed a senior cohort: 85% of respondents are Manager-level or above, representing organizations where 66% employ 5,000+ people across finance, healthcare, and retail sectors. Download the full research here → What is CTEM? If you aren’t familiar, CTEM involves shifting from "patch everything reactively" to "continuously discover, validate, and pr...

Today’s “AI everywhere” reality is woven into everyday workflows across the enterprise, embedded in SaaS platforms, browsers, copilots, extensions, and a rapidly expanding universe of shadow tools that appear faster than security teams can track. Yet most organizations still rely on legacy controls that operate far away from where AI interactions actually occur. The result is a widening governance gap where AI usage grows exponentially, but visibility and control do not.  With AI becoming central to productivity, enterprises face a new challenge: enabling the business to innovate while maintaining governance, compliance, and security.  A new Buyer’s Guide for AI Usage Control argues that enterprises have fundamentally misunderstood where AI risk lives. Discovering AI Usage and Eliminating ‘Shadow’ AI will also be discussed in an upcoming virtual lunch and learn .  The surprising truth is that AI security isn’t a data problem or an app problem. It’s an interaction pro...

An innovative approach to discovering, analyzing, and governing identity usage beyond traditional IAM controls. The Challenge: Identity Lives Outside the Identity Stack Identity and access management tools were built to govern users and directories. Modern enterprises run on applications. Over time, identity logic has moved into application code, APIs, service accounts, and custom authentication layers. Credentials are embedded. Authorization is enforced locally. Usage patterns change without review. These identity paths often operate outside the visibility of IAM, PAM, and IGA. For security and identity teams, this creates a blind spot - what we call Identity Dark Matter. This dark matter is responsible for the identity risk that cannot be directly observed. Why Traditional Approaches Fall Short Most identity tools rely on configuration data and policy models. That works for managed users.

The Problem: The Identities Left Behind As organizations grow and evolve, employees, contractors, services, and systems come and go - but their accounts often remain. These abandoned or “orphan” accounts sit dormant across applications, platforms, assets, and cloud consoles. The reason they persist isn’t negligence - it’s fragmentation.  Traditional IAM and IGA systems are designed primarily for human users and depend on manual onboarding and integration for each application - connectors, schema mapping, entitlement catalogs, and role modeling. Many applications never make it that far. Meanwhile, non-human identities (NHIs): service accounts, bots, APIs, and agent-AI processes are natively ungoverned, operating outside standard IAM frameworks and often without ownership, visibility, or lifecycle controls. The result? A shadow layer of untracked identities forming part of the broader identity dark matter - accounts invisible to governance but still active in infrastructure. Wh...

Just a few years ago, the cloud was touted as the “magic pill” for any cyber threat or performance issue. Many were lured by the “always-on” dream, trading granular control for the convenience of managed services. In recent years, many of us have learned (often the hard way) that public cloud service providers are not immune to attacks and SaaS downtime, hiding behind the Shared Responsibility cushion. To stay operational, competitive, and resilient in today’s threat landscape, teams must move beyond the dependency on SaaS providers and understand what cyber resilience really means. The Myth of DevOps SaaS Resilience In 2024 alone, popular DevOps SaaS platforms—like GitHub, Jira, or Azure DevOps— experienced 502 incidents in total, which resulted in degraded performance and outages totaling over 4,755 hours . The conclusion is clear: Entrusting “the big players” with your source code, development metadata, and workflow projects doesn’t make your business immune to downtime and subs...

Chainguard, the trusted source for open source, has a unique view into how modern organizations actually consume open source software and where they run into risk and operational burdens. Across a growing customer base and an extensive catalog of over 1800 container image projects, 148,000 versions, 290,000 images, and 100,000 language libraries, and almost half a billion builds, they can see what teams pull, deploy, and maintain day-to-day, along with the vulnerabilities and remediation realities that come hand in hand.  That’s why they created The State of Trusted Open Source , a quarterly pulse on the open source software supply chain. As they analyzed anonymized product usage and CVE data, the Chainguard team noticed common themes around what open source engineering teams are actually building with and the risks associated.  Here’s what they found:  AI is reshaping the baseline stack: Python led the way as the most popular open source image among Chainguard’s glo...

The Invisible Half of the Identity Universe Identity used to live in one place - an LDAP directory, an HR system, a single IAM portal. Not anymore. Today, identity is fragmented across SaaS, on-prem, IaaS, PaaS, home-grown, and shadow applications. Each of these environments carries its own accounts, permissions, and authentication flows. Traditional IAM and IGA tools govern only the nearly managed half of this universe - the users and apps that have been fully onboarded, integrated, and mapped. Everything else remains invisible: the unverified, non-human, unprotected mass of identities we call identity dark matter. Every new or modernized app demands onboarding - connectors, schema mapping, entitlement catalogs, and role modeling - work that consumes time, money, and expertise. Many applications never make it that far. The result is fragmentation: unmanaged identities and permissions operating outside corporate governance. And beyond the human layer lies an even larger challenge...