A.AI secures websites, applications, and APIs against everything from credential stuffing and SQL injection to supply-chain compromise and AI-driven exploitation. We bring frontier capabilities — including Mythos-class models — to every layer of your defense.
The classics haven’t gone away — credential stuffing, injection, business-logic abuse, dependency compromise. They’ve just been joined by AI-augmented attackers who can write working exploits in hours, against software that survived decades of human review.
A frontier model found a TCP SACK vulnerability in OpenBSD — one of the most security-hardened operating systems in existence — that had survived since 1998. It allowed any attacker to remotely crash any machine running it.
A 16-year-old vulnerability in FFmpeg’s H.264 decoder — code that automated tools had hit five million times without catching the issue — was found autonomously by a frontier model.
CVE-2026-4747: a 17-year-old remote code execution in the FreeBSD NFS server. A frontier model wrote a multi-packet ROP exploit that gives any unauthenticated attacker full root.
Frontier models have chained four vulnerabilities into a JIT heap-spray that escapes the browser sandbox and writes directly to the OS kernel. Triggered by visiting a webpage.
On a Firefox 147 benchmark, the prior-generation model produced 2 working exploits across hundreds of attempts. A single new frontier model produced 181 — in one release.
Engineers with no formal security training have asked frontier models to find remote code execution bugs overnight, and woken up to a working exploit. The cost of attack expertise is approaching zero.
Mythos is a frontier security model that has identified thousands of high- and critical-severity vulnerabilities across every major operating system, every major web browser, and the world’s most relied-on cryptography libraries. Anthropic does not make Mythos generally available — access runs through Project Glasswing and a small set of vetted defenders. A.AI plugs Mythos-class capabilities into your perimeter, so your site benefits from the same analysis that found a 27-year-old OpenBSD bug in a single afternoon.
Anthropic launched Project Glasswing with twelve founding partners using Mythos Preview to secure the world’s most critical software. The defensive work happening behind these names is the same class of capability A.AI brings to your perimeter.
Whether you run a marketing site, a SaaS app, an e-commerce platform, or an AI product, the perimeter is the same — and it needs the same end-to-end coverage. We do the unglamorous core work as well as the frontier-only stuff.
WAF, DDoS mitigation, rate limiting, TLS hardening, CDN configuration, and origin shielding. The essentials, done properly — with intent-aware rules instead of brittle signatures.
Continuous code review, dependency & supply-chain scanning, secrets detection, SAST/DAST orchestration, and manual review of high-risk surfaces — auth, sessions, payments, file upload.
MFA rollout, SSO integration, session hygiene, account takeover defense, credential-stuffing protection, and bot versus human classification at the login boundary.
24/7 detection across application, infra, and identity logs. Triaged alerts written for engineers. Forensic capability and regulatory-grade reporting when something does go wrong.
Pre-launch assessments, scheduled annual pentests, and continuous Mythos-class red teaming for clients who can’t afford to wait between engagements. Reports come with proof-of-exploit, not noise.
For sites that ship AI features: prompt-injection defense, jailbreak detection, agent traffic control, and data-boundary enforcement on every model endpoint. Optional, not assumed.
These vulnerabilities were identified, and in many cases exploited, fully autonomously by frontier models. Each existed in production for years. We watch this surface so your business doesn’t end up on a future version of this list.
A subtle integer overflow in the SACK linked-list walk let attackers send a single crafted TCP segment that dereferenced a NULL pointer in the kernel. OpenBSD runs many of the world’s firewalls and routers.
Stack buffer overflow in RPCSEC_GSS, fully exploited autonomously — including a multi-packet ROP chain that appended the attacker’s SSH key to authorized_keys. Generated from a single prompt.
A 2003 design choice combined with a 2010 refactor created a vulnerability that no fuzzer — even campaigns hitting it five million times — ever surfaced. FFmpeg powers nearly every video pipeline online.
Frontier models chained two, three, sometimes four kernel vulnerabilities — bypassing KASLR, leaking pointers, spraying the heap, overwriting page-table entries — to hand any local user complete control.
Models autonomously discovered the read and write primitives, chained them through the JIT, escaped the renderer sandbox, and landed in the OS kernel. Many of these exploits remain unpatched.
Frontier models surfaced critical issues in the libraries underpinning the modern internet — including a certificate-authentication bypass disclosed in 2026. The libs you trust are now also the ones AI is auditing.
Traditional WAFs see traffic. Signature engines see strings. A.AI sees intent — combining frontier reasoning, hardened edge infrastructure, and continuous red-team telemetry to stop attacks no rule set can describe.
We respond within hours on LinkedIn or WhatsApp. If you’re running anything customer-facing, the conversation is worth having before an attacker has it for you.
Mythos and Project Glasswing are research efforts of Anthropic. A.AI is an independent security company that operates Mythos-class defensive capabilities for its customers and is not affiliated with Anthropic. Vulnerability examples on this page are sourced from Anthropic’s public Frontier Red Team disclosures.
