Frontier models can vanish overnight. Control is the new frontier in security AI. See why→
AISLE Snapshot

Outsmart adversaries
armed with Mythos‑class AI

In any environment. In hours, not months.

  • AISLE Snapshot delivers a clear picture of your code
  • Deployed inside your perimeter – cloud, on-prem, or fully air-gapped
  • Use AISLE's optimized AI models or bring your own
  • Get verified findings prioritized by business impact
Get your snapshotLearn more

Proven on the world's most heavily audited codebases

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AISLE Snapshot runs
inside your perimeter

Public cloud

AWS · GCP · Azure

Private cloud

Your VPC

On-prem

Self-hosted

Air-gapped

Fully isolated

Frontier-class detection, in any environment

Machine Speed

1M+LOC/hour

Get findings fast, even on the most complex codebases

Verified Accuracy

95%noise reduction

Focus on the threats that matter most for your business

Scalable Value

10xcost-efficiency vs. Mythos

Get frontier-class detection at a fixed, predictable cost

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AISLE Enterprise Platform

From discovery to verified fix, autonomously

  • The highest-performing cybersecurity analyzer on the market

    Thousands of agents reason in parallel across your entire codebase, dependencies, and architecture. They use all available context to pinpoint exploitable vulnerabilities and cut 95% of the noise. You get verified findings, prioritized by business impact.

  • From detection to remediation in less than 4 days

    AISLE's fix agents use the context they gain by analyzing your systems to generate patches just like those your engineers write, freeing up your team to develop new features.

  • Agentic verification that delivers an 85% fix acceptance rate

    AISLE uses both CI and agent-generated sandboxed tests to verify each fix it generates. You only review proposals that have been verified to fix the issue without breaking anything downstream.

  • AISLE agents evaluate your feedback to improve with each issue

    Security is not a one-off. AISLE reflects on every interaction, using your feedback and custom context to continually deliver better analysis and remediation.

agentSCANNING
apps/request_handler.rsa3f72eOpen Git
1fn read_file(path: &str) -> Result<String, &'static str> {
2  let public_dir = Path::new("/srv/myapp/public");
3 
4  if path.contains("..") {
5    return Err("attempted path traversal")
6  }
7 
8  let path = public_dir.join(path);
9 
10  let body = fs::read_to_string(path)
11    .map_err(|_| "read failed")?;
12  Ok(body)
13}
1async def connect_mcp_server(server_url: str, user_id: str):
2    async with httpx.AsyncClient() as client:
3        meta = await client.get(
4            f"{server_url}/.well-known/oauth-protected-resource"
5        )
6        auth_server = meta.json()["authorization_server"]
7        token = await client.post(
8            f"{auth_server}/token",
9            data={"user_id": user_id,
10                  "client_secret": settings.LINEAR_SECRET}
11        )
12    return token.json()
aisle/api·main
!Path TraversalCWE-36 · line 8
Aisle Enterprise

AI-native vulnerability
management for Enterprise

Flexible deployment, enterprise SSO, and full compliance support

375+

CVEs discovered by AISLE – and independently validated – in widely used codebases.

10x

More cost-efficient vulnerability discovery than Mythos.

95%

Noise reduction vs. traditional AppSec tools.

85%

Of AISLE's proposed fixes are accepted by developers.

4d

Mean time to remediation in collaborative mode vs. 135d industry standard.

Learn More About Enterprise
Real-World Results

375+ CVEs

AISLE has discovered more CVEs than any other AI security platform

Testimonials

What they’re saying

Daniel Stenberg

Daniel Stenberg

Founder and Lead Developer of cURL

“A powerful analyzer that highlights code areas that need more attention in ways the old generation of code tools have not been able to. A much appreciated evolutionary step.”

Aernout Reijmer

Aernout Reijmer

fmr. ASML CISO,fmr. BT Global Services CISO

“We are in a perfect storm: vulnerability teams are overstretched, exploitation time is shrinking, and regulatory pressure is rising. In this environment, AISLE's continuous, AI-driven scanning and real-time verification stand out — helping organizations fix vulnerabilities before they become zero-days and patch with confidence.”

J. Michael Daniel

J. Michael Daniel

CEO & President of Cyber Threat Alliance,fmr. Cyber advisor to US President

“Vulnerability management has long confounded cybersecurity. The challenge of finding vulnerabilities, prioritizing their remediation, and implementing fixes at speed and scale has proven difficult. AISLE has the potential to change that dynamic, enabling defenders to patch faster and strengthen their security posture.”

Jared Mittleman

Jared Mittleman

Vice President, IT, Security and Privacy,Bose Professional

“We chose AISLE to give our customers peace of mind and a superior, highly secure product. AISLE provides our engineers with the tools they need to maximize security and strengthen our development process.”

Bruce Schneier

Bruce Schneier

Security TechnologistFellow at Harvard University

“AISLE is credited for surfacing 13 of 14 OpenSSL CVEs assigned in 2025, and 15 total across both releases. This is a historically unusual concentration for any single research team, let alone an AI-driven one.”

Ataccama

Ataccama

Unified Data Trust Company

“We've been really impressed by AISLE's approach to CVE management. Instead of just aggregating vulnerabilities, it provides actionable intelligence through its use of AI by correlating issues across the code base and surfacing what truly matters. It's been a big step forward in making remediation faster and smarter.”

Ondrej Burianek

Ondrej Burianek

DevSecOps Manager at Livesport

“AISLE is taking a bold new approach to code security — moving from ‘Shift Left’ to a true ‘Shift to AI.’ The team actually listens, turning feedback into real improvements. It's impressive how quickly AISLE has evolved from an idea into a product that works in production.”

David Dolezal

David Dolezal

Director of Security at Productboard

“Traditional vulnerability management through independent assessments can, in theory, cover everything — but it's resource-intensive and often overestimates risk. I've long searched for a method that evaluates vulnerabilities in real context and suggests specific fixes. After my experience with AISLE, I believe the wait is finally over. Hallelujah.”

From the Blog

Latest Posts

ResearchAISLE Discovered Six curl CVEs After OpenAI and Anthropic Found ZeroAfter frontier AI systems came up empty, AISLE surfaced six CVEs in curl, one of the world's most audited codebases. Its maintainers patched all six.Stanislav FortSeptember 2, 2026ResearchAISLE Discovers 6 High and Critical CVEs in FFmpegAISLE's AI-native engine found six high and critical CVEs in FFmpeg, including a 9.8 remote heap overflow and a stack overflow that survived 19 years.AISLE Research Team August 27, 2026ResearchAttackers Are Using AI to Find Vulnerabilities in Your Code. Your SAST Was Never Even Looking for ThemCan AI-native code analysis replace SAST, or is it just a complement. Here's what data from real-world results shows.Ondrej VlcekAugust 12, 2026ResearchAISLE Finds 21 Security Issues in FFmpeg, Including 6 New CVEsAISLE uncovered 21 issues in FFmpeg, including 6 new CVEs spanning code execution and out-of-bounds reads. All patched, with commit links inside.AISLE Research Team August 5, 2026ResearchAISLE Discovers a One-Click RCE Vulnerability in Cursor, VS Code, and Google AntigravityLearn how our AI found a one-click RCE vulnerability in 3 code editors: Cursor, VS Code, and Google Antigravity.Stanislav FortJuly 31, 2026ResearchThe Model That Fixes Your Code Might Hack the Linux KernelLearn how easy it is to trojanize a model, and what defenders can do to protect their supply chains from this emerging threat.Patrik MadaJuly 28, 2026PerspectivesThe Economics of Security Vulnerabilities: Why Discovery Is Not CommoditizingIf discovery is cheap, why are people willing to pay more for exploits than ever before? Here's what the market for exploits shows.Ondrej VlcekJuly 23, 2026ResearchAISLE Finds 8 CVEs Across MySQL, MariaDB, and PostgreSQLLearn how AISLE found 8 CVEs in critical databases using autonomous, AI-native analysis and verification.AISLE Research Team July 7, 2026ResearchAISLE Discovers 6 New CVEs in curl, Including the Oldest Issue Ever ReportedAISLE's analyzer discovered 6 new CVEs in curl, more than 2x the nearest AI security platform and including the oldest security issue in the project.AISLE Research Team June 24, 2026
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