AI Era Software Security: Project Glasswing Guide

Article-at-a-Glance

• AI has fundamentally shifted software security — attackers and defenders are now racing to use the same frontier models, and the side that moves faster wins.
• Anthropic’s Project Glasswing, launched in April 2026, has already helped surface more than 10,000 high and critical severity software vulnerabilities using Claude Mythos Preview.
• Every major operating system and web browser carries exploitable flaws — and AI can now find them faster than any human security team.
• BeyondTrust joined Project Glasswing to secure the privilege and identity layer — the backbone of AI-era infrastructure that attackers target first.
• One of the most important open questions in cybersecurity right now is whether defenders can scale AI-powered protection fast enough before adversaries do — the answer may surprise you.

The rules of software security changed the moment AI became capable enough to find and exploit vulnerabilities faster than humans can patch them.

This isn’t a future scenario. It’s happening right now, and the organizations that recognize it are already acting. Anthropic launched Project Glasswing in April 2026 specifically because a new frontier model — Claude Mythos Preview — demonstrated capabilities so significant that it reshaped how we think about both offense and defense in cybersecurity. BeyondTrust, a leader in privileged access and identity security, joined the initiative to help protect the infrastructure that underpins the AI era itself.

AI Has Changed the Rules of Software Security Forever

For decades, software security has been a game of human patience — manual code reviews, scheduled penetration tests, and reactive patching after breaches. That model is no longer sufficient. AI systems can now analyze massive codebases, recognize vulnerability patterns, generate working exploits, and suggest fixes in a fraction of the time it takes a human analyst.

The shift isn’t subtle. Consider what has changed in practical terms:

• Speed of discovery: AI models can scan and reason across entire codebases in hours, not weeks.
• Pattern recognition at scale: AI identifies vulnerability classes across thousands of functions simultaneously.
• Exploit generation: Frontier models can produce working proof-of-concept exploits, not just flag potential issues.
• Remediation suggestions: The same models that find bugs can propose — and in some cases write — patches.
• Accessibility: Capabilities once limited to elite red teams are now available to anyone with API access.

This dual-use reality is the defining tension of AI era software security. The same model that helps a defender find a critical memory corruption bug in an open-source library can help an attacker weaponize it. There is no technical barrier separating the two use cases — only intent, access controls, and the speed at which each side moves.

What makes this moment genuinely different from previous technological shifts in security is the sheer leverage AI provides. A single security engineer augmented by a frontier model can now do work that previously required an entire team. For attackers operating at scale, that same leverage is deeply concerning.

Claude Mythos Preview Has Already Found Thousands of High-Severity Vulnerabilities

Before Project Glasswing was publicly announced, Claude Mythos Preview was already demonstrating something remarkable — the ability to surface high and critical severity vulnerabilities across production-grade, widely-deployed software at a scale no prior tool had achieved. Since the initiative launched, Glasswing partners have collectively identified more than 10,000 high and critical severity software vulnerabilities using Claude Mythos Preview. These are not theoretical weaknesses or low-impact edge cases. They represent real, exploitable flaws in software that powers critical systems around the world.

Every Major OS and Web Browser Has Been Affected

The vulnerability surface Project Glasswing is addressing spans the most foundational software in modern computing. Major operating systems, widely-used web browsers, and the open-source libraries that underpin them all contain flaws that Claude Mythos Preview has been able to identify. This matters because these are not niche applications — they are the shared infrastructure of the internet, running on billions of devices and serving as the foundation on which AI agents themselves are now building new software.

When AI agents write new code using libraries that contain undetected vulnerabilities, those vulnerabilities propagate. Every downstream application inherits the risk. This is precisely why securing the foundational layer — the open-source codebases, the core system libraries, the critical infrastructure software — is so urgent. Patching one application is manageable. Patching the software that every application depends on is a different order of problem entirely. For a deeper understanding of AI deployment options and their impact on data security, explore this comprehensive guide.

Project Glasswing was designed specifically to operate at that foundational level, giving maintainers of critical open-source codebases direct access to frontier AI tooling so they can find and fix vulnerabilities before they compound.

What Project Glasswing Actually Is

Project Glasswing is an Anthropic-led initiative to secure the world’s most critical software using frontier AI. Launched in April 2026, it gives select partner organizations early access to Claude Mythos Preview — an unreleased general-purpose frontier model — specifically to find, fix, and prevent vulnerabilities in high-impact codebases and infrastructure systems.

The initiative is not a commercial product. It is a coordinated defensive effort built on the recognition that the open-source software stack — the shared foundation of nearly all modern digital infrastructure — is chronically under-resourced when it comes to security, and that AI now offers a credible path to changing that equation at scale.

Why Anthropic Built It

Anthropic’s decision to launch Project Glasswing stems from a direct observation: Claude Mythos Preview demonstrated capabilities in vulnerability research that were significant enough to reshape the cybersecurity landscape. Rather than simply releasing those capabilities into the market, Anthropic chose to structure access around a coordinated defensive mission. The logic is straightforward — if a frontier model can find critical vulnerabilities faster than any human team, the responsible move is to ensure defenders get that capability first and use it systematically on the most important software in the world. For more insights on security vulnerabilities, you can explore AI agent security vulnerabilities and protection strategies.

The initiative also reflects Anthropic’s broader safety mission. Securing critical software infrastructure is not just a commercial opportunity — it is a prerequisite for AI systems themselves to operate safely and reliably in the world.

The 12 Launch Partners Behind the Initiative

Project Glasswing launched with 12 partner organizations spanning cybersecurity, critical infrastructure, and open-source stewardship. BeyondTrust is among them, contributing expertise in privileged access management and identity security — the layer of infrastructure that controls who and what can access sensitive systems. The Linux Foundation is also involved, representing the open-source maintainer community that is most directly responsible for the foundational codebases at risk. Together, these partners represent a cross-section of the organizations that own the most consequential attack surface in modern computing.

Why April 2026 Was the Tipping Point

The timing of Project Glasswing’s April 2026 launch was not arbitrary. It coincided with the availability of Claude Mythos Preview — a model that Anthropic describes as revealing a “stark” capability gap between frontier AI and existing security tooling. Prior to this generation of models, AI-assisted vulnerability research was useful but incremental. Claude Mythos Preview represented a qualitative leap: a system capable of reasoning about complex codebases, understanding exploit conditions, and generating actionable remediation guidance at a level that changed what was operationally possible for security teams.

Claude Mythos Preview: The Model Powering the Defense

Claude Mythos Preview is an unreleased, general-purpose frontier model developed by Anthropic. Within the context of Project Glasswing, it functions as the core analytical engine — the system that partner organizations use to scan codebases, identify vulnerability patterns, reason about exploit conditions, and generate fix recommendations. What distinguishes it from earlier AI security tools is not just raw performance, but the quality of its reasoning about complex, real-world code.

Most vulnerability scanners operate on pattern matching — they flag code that resembles known-bad patterns. Claude Mythos Preview reasons about code semantically, understanding what a function is trying to do, what assumptions it makes, and where those assumptions break down under adversarial conditions. That distinction matters enormously in practice, because the most dangerous vulnerabilities are rarely the obvious ones.

How It Finds and Exploits Vulnerabilities Better Than Most Humans

Claude Mythos Preview’s approach to vulnerability discovery combines deep code comprehension with adversarial reasoning. It can trace data flows across complex function call chains, identify where input validation is missing or insufficient, recognize classes of memory safety issues, and reason about how an attacker might construct a malicious input to trigger a specific failure mode. Critically, it can do this across very large codebases — the kind of scale where human reviewers inevitably miss things simply due to cognitive load and time constraints.

The model also generates working proof-of-concept exploits, not just vulnerability reports. This is significant because it forces the question of real-world impact rather than theoretical risk. A vulnerability with a working exploit attached to the report is unambiguous — it demands immediate attention and provides maintainers with exactly the information they need to understand and prioritize the fix. For more insights on protecting against such vulnerabilities, explore AI agent security vulnerabilities and strategies.

Why This Same Capability Is Dangerous in the Wrong Hands

The same reasoning capabilities that make Claude Mythos Preview a powerful defensive tool make it genuinely dangerous if access is not carefully controlled. A model that can find critical vulnerabilities in production software and generate working exploits is, by definition, a powerful offensive tool. This is the core dual-use tension that Project Glasswing is structured to navigate.

Anthropic’s approach is to structure access around a vetted partner program with a clear defensive mission, rather than making these capabilities broadly available through a standard API. This is not a permanent solution — it is a bridging strategy to ensure defenders gain the capability advantage before adversaries can access equivalent tooling at scale.

The risk of not acting is arguably greater than the risk of carefully managed access. If frontier AI vulnerability research capabilities become widely available through less controlled channels — through open-source model releases, through adversarial nation-states developing equivalent models, or through leaks — then defenders who have not yet built AI-augmented security practices will face a significant disadvantage with no runway to prepare.

“As we enter a phase where cybersecurity is no longer bound by purely human capacity, the opportunity to use AI responsibly to improve security and reduce risk at scale is unprecedented.”

— BeyondTrust, on joining Project Glasswing

The Threats Project Glasswing Was Built to Counter

Understanding why Project Glasswing exists requires understanding what it was built to fight. The threat landscape has shifted in ways that make traditional security approaches structurally insufficient — not just slower or less efficient, but categorically unable to keep pace with what AI-augmented attackers can now do.

AI-Augmented Cyberattacks on Critical Infrastructure

Attackers are already using AI to accelerate every phase of the attack lifecycle — reconnaissance, vulnerability identification, exploit development, and evasion. What previously required a skilled team of researchers working for weeks can now be compressed into hours using AI-assisted tooling. Critical infrastructure — power grids, water systems, financial networks, healthcare systems — runs on software stacks that were built long before this threat model existed.

The compounding problem is that AI agents are now writing new software on top of these legacy foundations. Every new AI-generated application that inherits a vulnerable library extends the attack surface further. Without a systematic approach to securing the foundational layer, the gap between what attackers can exploit and what defenders can patch will only widen.

The Expanding Identity Attack Surface

As AI systems proliferate, the identity and privilege layer has become one of the most targeted vectors in modern cybersecurity. AI agents need permissions to operate — they access APIs, read databases, write files, and communicate with other systems. Each of those interactions represents a potential privilege escalation point. The attack surface for identity-based attacks has expanded dramatically as organizations deploy more AI agents with broader access rights than is strictly necessary.

BeyondTrust’s inclusion in Project Glasswing is directly relevant here. Privileged access management — controlling which users, systems, and AI agents can access what resources under what conditions — is the security layer most directly exposed by the expansion of AI in enterprise environments. When an attacker compromises a privileged AI agent, they effectively inherit everything that agent can reach. Securing that layer is not optional infrastructure; it is the backbone of AI-era security.

What Happens If Defenders Fall Behind

If defenders do not close the AI capability gap quickly, the consequences are not abstract. Critical open-source software with undetected vulnerabilities becomes the attack surface for the next generation of AI-powered attacks. The organizations that maintain this software — often small teams of volunteer contributors with no dedicated security resources — cannot realistically defend against AI-augmented adversaries without AI-augmented tools of their own. Project Glasswing exists precisely to prevent that scenario from becoming inevitable.

How Project Glasswing Gives Defenders the Advantage

The core proposition of Project Glasswing is straightforward: give the defenders of the world’s most critical software access to the same frontier AI capabilities that sophisticated attackers are developing, before those attackers can operationalize them at scale. The initiative does this across three interlocking dimensions — early access to frontier AI tooling, systematic pre-emptive vulnerability discovery, and building security into new software from the ground up.

What makes this approach different from previous industry security initiatives is the quality of the AI at the center of it. Claude Mythos Preview is not an incremental improvement on existing vulnerability scanning tools. It represents a qualitative leap in what automated security analysis can accomplish, and structuring access around a coordinated defensive mission means that improvement is being applied where it matters most first.

Early Access to Frontier AI for Security Teams

Project Glasswing partner organizations receive early access to Claude Mythos Preview specifically for security research and vulnerability remediation. This is not general-purpose API access — it is targeted access designed to maximize defensive impact on high-priority codebases. For security teams at partner organizations, this means working with a model that can reason about complex vulnerability conditions, generate proof-of-concept exploits for triage purposes, and propose concrete remediations — capabilities that significantly compress the time from discovery to fix. For more insights on security vulnerabilities, you can explore this article on AI agent security vulnerabilities.

The practical effect is that a small, well-resourced security team augmented by Claude Mythos Preview can now cover ground that would previously have required a much larger organization. For open-source maintainers who often operate without dedicated security staff, this access is transformative. It levels a playing field that has historically been tilted sharply in favor of well-funded attackers over resource-constrained defenders.

Finding Flaws Before Attackers Do

Pre-emptive vulnerability discovery — finding and fixing flaws before attackers weaponize them — has always been the goal of proactive security. The challenge has always been speed and scale. Claude Mythos Preview changes both equations simultaneously.

• Codebase-wide analysis: The model can reason across entire repositories, not just isolated functions, catching vulnerabilities that span multiple components.
• Semantic understanding: Rather than matching known-bad patterns, it understands what code is supposed to do and identifies where that intent breaks down.
• Exploit-informed triage: By generating working proof-of-concept exploits, it forces accurate prioritization — critical issues get fixed first, not just flagged first.
• Remediation guidance: The same analysis that finds a vulnerability produces actionable fix recommendations, reducing the time from discovery to patch.

The 10,000-plus high and critical severity vulnerabilities already surfaced by Project Glasswing partners represent exactly this pre-emptive approach in action. Each of those vulnerabilities fixed before public disclosure is one less opportunity for an attacker to exploit critical infrastructure, one less entry point into systems that billions of people depend on.

Speed of remediation is as important as speed of discovery. A vulnerability found but not fixed quickly is still a liability. Claude Mythos Preview’s ability to generate concrete fix recommendations — not just abstract vulnerability descriptions — directly accelerates the remediation cycle, which is often where security programs lose time under the pressure of competing priorities.

The aggregate effect of pre-emptive discovery at this scale is cumulative. Every foundational library patched through Project Glasswing reduces the inherited risk carried by every application built on top of it. This is security work with multiplicative impact — fixing one flaw in a core library protects every downstream consumer of that library simultaneously.

Writing New Software With Fewer Security Bugs From the Start

Beyond finding existing vulnerabilities, Project Glasswing is also focused on the forward-looking problem: ensuring that new software — including software written by AI agents — is produced with fewer security defects from the outset. Claude Mythos Preview can be integrated into development workflows to catch security issues during the writing process rather than after deployment. Given that AI-generated code is increasingly common in production environments, building security review into the generation process itself is one of the highest-leverage interventions available.

BeyondTrust and the Privilege Security Layer

BeyondTrust’s role in Project Glasswing centers on securing what it calls the “privilege backbone” of AI-era infrastructure — the identity, access, and privilege management layer that controls what every user, system, and AI agent can do within an organization’s environment. As AI accelerates vulnerability discovery and expands the identity attack surface, organizations need to rethink how they manage privileged access. BeyondTrust brings to the initiative its expertise in privileged access management and identity security, applying Claude Mythos Preview to identify and mitigate risks in the systems that control access to everything else. When that layer is compromised, everything above it is exposed — which is why securing it is foundational to any serious AI-era security posture.

Why No Single Organization Can Solve This Alone

The scale of the problem Project Glasswing is addressing — securing the foundational software layer of the global internet — is categorically too large for any single organization to tackle in isolation. The open-source software stack is maintained by thousands of contributors across hundreds of projects. The organizations that depend on it span every sector and geography. The attackers targeting it are globally distributed and increasingly AI-augmented.

Effective defense at this scale requires a coordinated approach that brings together the organizations with the most relevant capabilities and the most critical assets to protect. That is precisely what Project Glasswing’s partner structure is designed to enable — a coalition of organizations each contributing their domain expertise to a shared defensive mission, unified by access to frontier AI tooling that none of them could have developed independently.

• Cybersecurity vendors like BeyondTrust contribute domain expertise in identity, privilege, and access security.
• Open-source stewards like the Linux Foundation contribute access to and authority over the most critical shared codebases.
• Critical infrastructure operators contribute real-world context about what systems are most consequential to protect.
• AI safety organizations like Anthropic contribute frontier model access and the research infrastructure to apply it responsibly.

No single one of these constituencies can solve the AI-era security problem alone. A cybersecurity vendor without access to frontier AI is fighting the next war with last generation’s weapons. An AI lab without domain security expertise and real-world infrastructure context cannot direct its capabilities where they matter most. The coalition model is not a compromise — it is the only approach that matches the actual structure of the problem.

The Role of Open-Source Maintainers and the Linux Foundation

Open-source maintainers are the unsung defenders of the internet’s foundational infrastructure. The Linux kernel, OpenSSL, curl, glibc, and hundreds of other critical libraries are maintained by small, often volunteer-driven teams who bear enormous responsibility with minimal dedicated security resources. These are the codebases that every enterprise application, every cloud platform, and every AI agent ultimately depends on — and they have historically been among the most under-resourced when it comes to proactive security research.

The Linux Foundation’s involvement in Project Glasswing addresses this gap directly. By connecting open-source maintainers with Claude Mythos Preview, the initiative gives these teams access to a level of automated security analysis that was previously available only to large, well-funded security organizations. The result is a more defensible shared software commons — one where foundational libraries are systematically reviewed for vulnerabilities before they propagate into thousands of downstream applications and systems.

Why Governments Must Be Part of the Solution

Critical national infrastructure — power grids, water treatment systems, financial networks, defense systems — runs on the same open-source software stack that Project Glasswing is working to secure. Governments have a direct national security interest in the success of initiatives like this, and several have already recognized that AI-era cybersecurity requires a fundamentally different level of public-private coordination than previous threat environments demanded. The scale and speed of AI-augmented attacks on critical infrastructure are simply beyond what any private organization can defend against in isolation.

Government participation in AI-era software security efforts brings two things that private initiatives cannot provide on their own: regulatory authority and public-sector scale. Regulatory frameworks that mandate AI-augmented security practices for critical infrastructure operators, combined with public funding for open-source security research, would dramatically accelerate the defensive work that Project Glasswing has started. Without that public-sector commitment, the initiative’s impact, while significant, remains bounded by the resources and reach of its private partners.

The Case for an Independent Third-Party Oversight Body

As frontier AI models become central tools in both offensive and defensive cybersecurity, the question of governance becomes urgent. Who decides which organizations get access to capabilities like Claude Mythos Preview? What safeguards prevent those capabilities from being misused — intentionally or accidentally? How are conflicts of interest managed when the organizations providing the tools are also commercial entities with their own interests? These are not hypothetical governance questions. They are live operational issues that the current structure of Project Glasswing addresses through Anthropic’s internal vetting process, but that will require more formal institutional answers as the initiative scales.

An independent oversight body — one with representation from security researchers, civil society, government, and the open-source community — would provide the accountability layer that any initiative of this consequence requires. It would set standards for how frontier AI security capabilities are accessed, monitored, and audited. It would create a mechanism for surfacing and addressing harms that no single partner organization has the incentive or authority to self-report. The model already exists in other high-stakes domains, from financial auditing to nuclear safety — cybersecurity at the AI frontier deserves the same level of institutional rigor.

Project Glasswing Is Just the Starting Point

More than 10,000 high and critical severity vulnerabilities identified, 12 launch partners across cybersecurity and critical infrastructure, and a frontier model that has already demonstrated capabilities that reshape what defensive security can accomplish — Project Glasswing is the most significant coordinated effort to secure the foundational software layer of the AI era that has ever been attempted. But it is a beginning, not a conclusion. The attack surface is vast, the adversaries are resourced and accelerating, and the window to establish a durable defensive advantage is narrow. The organizations that understand this — and act on it now — are the ones that will be positioned to operate securely in whatever comes next.

Frequently Asked Questions

The following questions address the most important aspects of Project Glasswing, Claude Mythos Preview, and AI-era software security for organizations evaluating their security posture in light of these developments.

What Is Project Glasswing and Who Is Behind It?

Project Glasswing is an Anthropic-led initiative launched in April 2026 to secure critical software infrastructure using frontier AI. It gives partner organizations early access to Claude Mythos Preview — an unreleased general-purpose frontier model — specifically to find, fix, and prevent vulnerabilities in high-impact, widely-deployed codebases and critical infrastructure systems.

The initiative launched with 12 partner organizations, including BeyondTrust, which contributes expertise in privileged access management and identity security, and the Linux Foundation, which represents the open-source maintainer community responsible for foundational shared codebases. Anthropic leads the initiative as both the model provider and the organization responsible for structuring access in alignment with its AI safety mission.

What Is Claude Mythos Preview and How Does It Find Vulnerabilities?

Claude Mythos Preview is an unreleased general-purpose frontier model developed by Anthropic. Within Project Glasswing, it functions as the core security analysis engine — the system partners use to scan codebases, reason about vulnerability conditions, generate working proof-of-concept exploits for triage, and produce actionable remediation recommendations.

What distinguishes it from conventional vulnerability scanning tools is the quality of its semantic reasoning. Rather than matching code against databases of known-bad patterns, Claude Mythos Preview understands what code is intended to do and identifies where those intentions break down under adversarial conditions. It can trace data flows across complex function call chains, identify missing or insufficient input validation, and reason about how an attacker might construct a malicious input to trigger a specific failure mode — all at the scale of large, production-grade codebases.

The model also generates working proof-of-concept exploits alongside vulnerability reports, which forces accurate prioritization. A vulnerability with a functional exploit attached is unambiguous — it demands immediate action and gives maintainers the precise information they need to understand the real-world risk and design an effective fix. This combination of discovery, exploit generation, and remediation guidance in a single workflow is what enables the scale and speed that traditional approaches cannot match.

Which Organizations Are Launch Partners in Project Glasswing?

Project Glasswing launched in April 2026 with 12 partner organizations spanning cybersecurity, critical infrastructure operations, and open-source stewardship. BeyondTrust and the Linux Foundation are among the confirmed launch partners, with BeyondTrust contributing privileged access management and identity security expertise and the Linux Foundation representing the open-source maintainer community with responsibility for some of the most widely deployed foundational software in the world.

The full list of 12 launch partners has not been comprehensively published, but the initiative’s structure is designed to represent a cross-section of the organizations with the most critical assets to protect and the most relevant domain expertise to contribute — ensuring that Claude Mythos Preview’s capabilities are directed at the highest-impact security work across the broadest possible attack surface.

How Does AI Help Defenders More Than Attackers in Cybersecurity?

The honest answer is that AI does not inherently help defenders more than attackers — the same capabilities are available to both sides. What makes structured initiatives like Project Glasswing significant is that they are designed to ensure defenders gain access to frontier capabilities first and apply them systematically to the highest-priority targets before adversaries can operationalize equivalent tooling at scale.

The structural advantage defenders have — when they use it — is that they can apply AI to the entire known attack surface proactively, while attackers must identify and exploit specific targets opportunistically. An AI model that can scan and fix vulnerabilities across an entire codebase in a coordinated defensive operation is addressing the problem at a fundamentally different scale than an attacker using the same model to probe specific targets. The window in which that advantage holds is finite, which is precisely why the speed of deployment matters as much as the capability itself.

Can Other Companies or Governments Join Project Glasswing?

• Project Glasswing currently operates as a vetted partner program with access controlled by Anthropic.
• The initiative launched with 12 partners specifically selected for domain expertise and the criticality of their infrastructure.
• Anthropic has indicated that the initiative is designed to scale, with the expectation that additional organizations will gain access over time.
• Government participation is an area of active discussion, given the national security implications of critical infrastructure vulnerability.
• Organizations interested in participation should engage directly with Anthropic, as there is no open application process currently published.

For businesses evaluating their own AI-era security posture regardless of Project Glasswing participation, the initiative’s core approach offers a clear framework: systematically apply frontier AI to your highest-priority attack surface, build pre-emptive vulnerability discovery into your development workflows, and invest in securing the identity and privilege layer as AI agents take on broader operational roles within your environment.

The privilege and identity layer deserves particular attention for any organization deploying AI agents in production. AI agents that operate with excessive permissions represent a compounding risk — every new capability granted to an agent is a potential lateral movement path for an attacker who compromises that agent’s credentials. Applying the principle of least privilege to AI agents, and using tools designed for AI-era identity management, is one of the highest-return security investments available right now.

Open-source dependencies also warrant immediate attention. If your software stack depends on widely-used open-source libraries — and virtually every modern application does — then the vulnerabilities being discovered through Project Glasswing are directly relevant to your risk profile. Maintaining an accurate software bill of materials, tracking CVEs for your dependencies, and prioritizing patches for high and critical severity vulnerabilities in foundational libraries are baseline practices that every organization should have in place.

The broader lesson of Project Glasswing for enterprise security teams is that the AI era requires a proactive, AI-augmented approach to security — not just faster versions of the reactive practices that characterized the previous generation of cybersecurity. The organizations that build that capability now, before an AI-augmented attack tests their defenses, are the ones that will be positioned to operate with confidence in an environment where the threat landscape is evolving faster than any human team can track unaided.

BeyondTrust helps organizations secure the privilege and identity backbone of their AI-era infrastructure — if you’re rethinking how your organization manages privileged access as AI agents take on broader operational roles, exploring what BeyondTrust offers as part of Project Glasswing is a practical next step.