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AI agents are rapidly becoming a core part of the enterprise, being embedded across enterprise workflows, operating with autonomy, and making decisions about which systems to access and how to use them. But as agents grow in power and autonomy, so do the risks and threats.  Recent studies show 80% of companies have already experienced unintended AI agent actions, from unauthorized system access to data leaks. These incidents aren't edge cases. They are the inevitable outcome of deploying AI agents at scale without purpose-built security mechanisms. Traditional IAM wasn't designed for this. Agents move too fast, operate 24/7, while relying on non-human identities (NHIs) to define precisely what they can and can't do. How can organizations possibly secure what they cannot see or control? To address this challenge, a new approach is needed—one that enables secure-by-design AI agent deployment across the enterprise. Enter: Astrix's Agent Control Plane (ACP) Astrix's AI Agent Cont...

Introduction Managed service providers (MSPs) and managed security service providers (MSSPs) are under increasing pressure to deliver strong cybersecurity outcomes in a landscape marked by rising threats and evolving compliance requirements. At the same time, clients want better protection without managing cybersecurity themselves. Service providers must balance these growing demands with the need to work efficiently, deliver consistent results, and scale their offerings. Yet, many service providers still rely on manual processes that slow down delivery, make it harder to maintain consistency across clients, and limit the time teams have to focus on more strategic initiatives. Even experienced service providers can find themselves stretched thin as they try to meet rising client expectations while managing operational complexity. In this environment, automation offers an opportunity to work more effectively and deliver greater value. By streamlining repetitive tasks, improving con...

Artificial intelligence is reshaping cybersecurity on both sides of the battlefield. Cybercriminals are using AI-powered tools to accelerate and automate attacks at a scale defenders have never faced before. Security teams are overwhelmed by an explosion of vulnerability data, tool outputs, and alerts, all while operating with finite human resources. The irony is that while AI has become a dominant theme in cybersecurity, many enterprises still struggle to apply it effectively within their programs.  The problem isn't access to information, as teams already have more data than they can process. It's cutting through the noise and focusing on what truly matters. AI is crucial here. Not only can it make security teams more efficient, it can generate insights that would be impossible to gather at scale or in real time without machine assistance. If adversaries are already weaponizing AI, then defenders must embed it into their strategies as well or risk falling further be...

Now that we are well into 2025, cloud attacks are evolving faster than ever and artificial intelligence (AI) is both a weapon and a shield. As AI rapidly changes how enterprises innovate, security teams are now tasked with a triple burden: Secure AI embedded in every part of the business. Use AI to defend faster and smarter. Fight AI-powered threats that execute in minutes—or seconds. Security is no longer about balancing speed and safety. In today's cloud-native world, real-time, context-aware defense is a baseline expectation, not a competitive edge. The recent Sysdig Cloud Defense Report 2025 breaks down this tectonic shift. Below, we unpack its key insights for security practitioners aiming to stay ahead of an accelerating threat landscape. AI: The Double-Edged Sword of Cloud Security AI is transforming the security paradigm. It's both empowering defenders while creating entirely new attack surfaces. AI for Security: Fighting Fire with Fire Attackers are automating f...

When Technology Resets the Playing Field In 2015 I founded a cybersecurity testing software company with the belief that automated penetration testing was not only possible, but necessary. At the time, the idea was often met with skepticism, but today, with 1200+ of enterprise customers and thousands of users, that vision has proven itself. But I also know that what we've built so far is only the foundation of what comes next. We are now witnessing an inflection point with AI in cybersecurity testing that is going to rewrite the rules of what's possible. You might not see the change in a month's time, but in five years the domain is going to be unrecognizable.  As the CTO of Pentera, I have a vision for the company: one where any security threat scenario you can imagine, you can test with the speed and intelligence only AI can provide. We have already started to implement the individual pieces of this reality into our platform. This article portrays the full vision I have for...

Google has announced the launch of a new initiative called OSS Rebuild to bolster the security of the open-source package ecosystems and prevent software supply chain attacks. "As supply chain attacks continue to target widely-used dependencies, OSS Rebuild gives security teams powerful data to avoid compromise without burden on upstream maintainers," Matthew Suozzo, Google Open Source Security Team (GOSST), said in a blog post this week. The project aims to provide build provenance for packages across the Python Package Index (Python), npm (JS/TS), and Crates.io (Rust) package registries, with plans to extend it to other open-source software development platforms. With OSS Rebuild, the idea is to leverage a combination of declarative build definitions, build instrumentation, and network monitoring capabilities to produce trustworthy security metadata, which can then be used to validate the package's origin and ensure it has not been tampered with. "Through a...

AI agents promise to automate everything from financial reconciliations to incident response. Yet every time an AI agent spins up a workflow, it has to authenticate somewhere; often with a high-privilege API key, OAuth token, or service account that defenders can't easily see. These "invisible" non-human identities (NHIs) now outnumber human accounts in most cloud environments, and they have become one of the ripest targets for attackers. Astrix's Field CTO Jonathan Sander put it bluntly in a recent Hacker News webinar : "One dangerous habit we've had for a long time is trusting application logic to act as the guardrails. That doesn't work when your AI agent is powered by LLMs that don't stop and think when they're about to do something wrong. They just do it." Why AI Agents Redefine Identity Risk Autonomy changes everything: An AI agent can chain multiple API calls and modify data without a human in the loop. If the underlying credential is exposed or overprivileged, each addit...

Run by the team at workflow orchestration and AI platform Tines, the Tines library features over 1,000 pre-built workflows shared by security practitioners from across the community - all free to import and deploy through the platform's Community Edition. A recent standout is a workflow that handles malware alerts with CrowdStrike, Oomnitza, GitHub, and PagerDuty. Developed by Lucas Cantor at Intercom, the creators of fin.ai , the workflow makes it easier to determine the severity of a security alert and escalate it seamlessly, depending on the device owner's response. "It's a great way to reduce noise and add context to security issues that are added on our endpoints as well," Lucas explains. In this guide, we'll share an overview of the workflow, plus step-by-step instructions for getting it up and running. The problem - lack of integration between security tools  For security teams, responding to malware threats, analyzing their severity, and identifying the device owner so...

If you're evaluating AI-powered SOC platforms, you've likely seen bold claims: faster triage, smarter remediation, and less noise. But under the hood, not all AI is created equal. Many solutions rely on pre-trained AI models that are hardwired for a handful of specific use cases. While that might work for yesterday's SOC, today's reality is different. Modern security operations teams face a sprawling and ever-changing landscape of alerts. From cloud to endpoint, identity to OT, insider threats to phishing, network to DLP, and so many more, the list goes on and is continuously growing. CISOs and SOC managers are rightly skeptical. Can this AI actually handle all of my alerts, or is it just another rules engine in disguise? In this post, we'll examine the divide between two types of AI SOC platforms. Those built on adaptive AI, which learns to triage and respond to any alert type, and those that rely on pre-trained AI, limited to handling predefined use cases only. Understanding t...

It sure is a hard time to be a SOC analyst. Every day, they are expected to solve high-consequence problems with half the data and twice the pressure. Analysts are overwhelmed—not just by threats, but by the systems and processes in place that are meant to help them respond. Tooling is fragmented. Workflows are heavy. Context lives in five places, and alerts never slow down. What started as a fast-paced, high-impact role has, for many analysts, become a repetitive loop of alert triage and data wrangling that offers little room for strategy or growth.  Most SOC teams also run lean. Last year, our annual SANS SOC Survey found that a majority of SOCs only consist of just 2–10 full-time analysts , a number unchanged since the survey began tracking in 2017. Meanwhile, the scope of coverage has exploded, ranging from on-prem infrastructure to cloud environments, remote endpoints, SaaS platforms, and beyond. Compounded at scale, this has led to systemic burnout across SOC environment...

Introduction The cybersecurity landscape is evolving rapidly, and so are the cyber needs of organizations worldwide. While businesses face mounting pressure from regulators, insurers, and rising threats, many still treat cybersecurity as an afterthought. As a result, providers may struggle to move beyond tactical services like one-off assessments or compliance checklists, and demonstrate long-term security value.  To stay competitive and drive lasting impact, leading service providers are repositioning cybersecurity as a strategic business enabler, and transitioning from reactive, risk-based services to ongoing cybersecurity management aligned with business goals. For service providers, this shift opens a clear opportunity to move beyond tactical projects and become long-term security partners, while unlocking new streams of recurring revenue.  Many MSPs, MSSPs, and consultancies already provide valuable point solutions, from identifying vulnerabilities to supporting audi...

In today's security landscape, budgets are tight, attack surfaces are sprawling, and new threats emerge daily. Maintaining a strong security posture under these circumstances without a large team or budget can be a real challenge. Yet lean security models are not only possible - they can be highly effective. River Island, one of the UK's leading fashion retailers, offers a powerful case study on how to do more with less. As River Island's InfoSec Officer, Sunil Patel and his small team of three are responsible for securing over 200 stores, an e-commerce platform, a major distribution center, and head offices. With no headcount growth on the horizon, Sunil had to rethink how security could scale effectively. By adopting a lean security model, powered by Intruder's exposure management platform , the team was able to improve visibility, respond faster to threats, and empower others across the business to fix what matters most. Here are five key lessons from thei...

Security teams face growing demands with more tools, more data, and higher expectations than ever. Boards approve large security budgets, yet still ask the same question: what is the business getting in return? CISOs respond with reports on controls and vulnerability counts – but executives want to understand risk in terms of financial exposure, operational impact, and avoiding loss. The disconnect has become difficult to ignore. The average cost of a breach has reached $4.88 million, according to recent IBM data . That figure reflects not just incident response but also downtime, lost productivity, customer attrition, and the extended effort required to restore operations and trust. The fallout is rarely confined to security. Security leaders need a model that brings those consequences into view before they surface. A Business Value Assessment (BVA) offers that model. It links exposures to cost, prioritization to return, and prevention to tangible value. This article will explain ...