The Sovereign AIVulnerability Management Platform

AISLE continuously finds, verifies, and fixes vulnerabilities in your code. Run it in any deployment environment with the AI of your choice.

Autonomously securing code at:

Bose logoEthereum Foundation logoENISA logoOpenSSL logocURL logoApify logoLinux logoChromium logoApache logoMozilla logoRedis logoOpenEMR logoSQLite logoElastic logoMattermost logo

500+

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

10x

More cost-efficient vulnerability discovery than Mythos.

91%

True positive rate on real‑world code.

85%

Of AISLE's proposed fixes are accepted by developers.

4 days

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

How it works

Autonomous security from end to end

Four stages run as one continuous loop. Each stage feeds the next, and every cycle makes the whole system smarter.

  • The top-performing cybersecurity analyzer on the market

    Thousands of agents reason in parallel across your entire codebase, dependencies, and architecture. Using all available context, they pinpoint exploitable vulnerabilities in any programming language to achieve a 91% true positive rate. You get verified findings, prioritized by business impact.
    Learn more
  • 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.

    Learn more
  • 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.

    Learn more
  • 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.

    Learn more
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

One workflow, from finding to fix

Reporting, remediation, and compliance live in the same place. Nothing gets re-entered, re-explained, or lost between tools.

Unified workflow

Report, act, and evidence compliance from a single surface. One record of what was found, what changed, and why.

Context in plain language

Tell AISLE what matters about your architecture in natural language. It reasons with that context on every future finding.

Integrates with your stack

AISLE plugs into the scanners, repos, and CI you already run — GitHub, GitLab, Bitbucket, and your existing AppSec tooling.

Built for speed

Mean time to remediation measured in days, not quarters. Findings arrive verified, so you can trust what you see.

AISLE ranks #1
in total findings, breadth, and reach on the UC Berkeley Vulnerability Initiative leaderboard

UC Berkeley
leaderboardRANKED #1
#1Volume466
AISLE466
2nd202
3rd171
4th169
5th162
vuln.cs.berkeley.edu·3 categories

AISLE has discovered more CVEs than any other AI security product

Deployment

Deploy on your terms

The AISLE platform runs wherever your code has to stay – from cloud to fully air-gapped.

Our Cloud

Fully managed

The fastest way to start: AISLE runs the infrastructure and you connect your repositories. For teams whose code classification allows external processing by frontier LLMs.

Your Cloud

Bedrock · Foundry · Vertex

Runs using your choice of frontier and custom LLMs inside your cloud account, with deployment artifacts delivered in push or pull mode into your local registry. For organizations that want full control without the infrastructure overhead.

On-Premises

Self-hosted

Runs on your GPUs, using custom models recommended by AISLE, plus optional threat and dependency intel pulled from our servers. For teams that need full authority over compute, storage, and access.

Air-Gapped

Fully isolated

For teams seeking complete sovereignty: AISLE runs disconnected using our fine-tuned security models to deliver autonomous vulnerability management with no network path in or out. Updates and intel delivered manually.

Inside the system

Agnostic by design

Your models. Your languages. Your rules.

AISLE is not bound to a single model vendor or a fixed list of languages. Its reasoning is a system, not a prompt — so it adapts to the stack and the constraints you already have.

Model-agnostic

AISLE matches compute power to cybersecurity task to optimize for performance and cost using the models of your choice.

Language-agnostic

AI-native analysis covers Python, JavaScript, TypeScript, Java, C#, C, C++, Rust, Go, PHP, Kotlin, Swift, Ruby, and more. No customer-managed per-language rule packs to configure or maintain.

  • Python
  • JavaScript
  • TypeScript
  • Java
  • C#
  • C
  • C++
  • Rust
  • Go
  • PHP
  • Kotlin
  • Swift
  • Ruby
  • and more
Under the Hood

From static analysis to dynamic reasoning

Unlike legacy scanners and AI SAST tools, AISLE combines static reasoning with dynamic analysis via AI-guided fuzzing. Together, they give you deeper coverage and verified findings.

Discovery phaseAI
Builds threat model
Identifies targets
for each target
Fuzzer configurationAI
Generate harnessharness
Generate seedsseed
Fuzzing infrastructure
Compilation with sanitizerASan / MSan
FuzzinglibFuzzer / AFL
Verified findings
Crashes
Triage
Testimonials

What they’re saying

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.”

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.”

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.”

Capabilities

Everything you need to secure your codebase

AI SAST

LLM-powered analysis that catches vulnerabilities in every PR — 0-day protection pattern-matching misses.

Learn more

SCA

Reachability analysis cuts through the noise. Focus on CVEs that actually affect your code paths.

Language Support

AI-driven analysis adds new languages in days, not months. Ready for every stack your teams adopt.

Secrets Detection

Industry-leading detection of hardcoded secrets, API keys, and credentials across repos and history.

IaC Security

Scan Terraform, CloudFormation, Kubernetes, and Dockerfiles for misconfigurations before deploy.

Agentic Remediation

AI autonomously generates fix PRs with local and CI-based verification before merge.

Developer Integrations

CI/CD, GitHub, GitLab, Bitbucket, API, Webhooks, CLI, and MCP server. IDE plugins coming soon.

Policy & Compliance

Define org-specific security policies. Map findings to compliance frameworks automatically.

Security
Analytics

Unified risk scoreboard with delta tracking, executive dashboards, and portfolio-wide visibility.

Enterprise Access Control

Role-based access control, workspace isolation, and federated auth via SAML and OIDC.

Integrations & Ecosystem

Built for your stack

AISLE integrates seamlessly with your existing tools: version control systems like GitHub, GitLab, Azure DevOps, and Bitbucket; Jira and Slack for team planning and collaboration. AISLE can also ingest findings from legacy scanners like Snyk, SonarQube, and Checkmarx.

Compliance

Certified, auditable, and under your control

AISLE is designed to support the most rigorous compliance requirements. Its model-agnostic system can be deployed on-premises or within your existing LLM pipeline.

ISO 27001ISO 27001
SOC 2SOC 2
ISO 42001ISO 42001
Built for full data sovereignty
Zero data retention
Fully auditable
From the Blog

Latest posts

FeaturedCompanyAISLE and Cohere to Join ForcesAISLE is joining Cohere to unite autonomous security systems and sovereign foundation models. Learn about the future of both companies.Ondrej Vlcek, Jaya Baloo, and Stanislav FortOctober 15, 2026ProductRolling Out in October: Prove It, Fix It, Block ItSee how AISLE gets you from finding to fix faster: proof of exploitability, memory-safety proofs, an MCP server, and an AI package firewall.Jiri TumaOctober 14, 2026ResearchBefore the CVE: Mining Open-Source Commits for Negative-Day VulnerabilitiesLearn what happened when AISLE researchers tested LLMs to find the best way to identify negative-day vulnerabilities at scale.Dmitrijs TriznaOctober 2, 2026ResearchAISLE Discovers 16 CVEs in Wireshark, the World’s Most Popular Network Protocol AnalyzerLearn about the 16 CVEs AISLE received in Wireshark, and what these discoveries say about the state of AI cybersecurity. AISLE Research Team September 16, 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, 2026
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Meet the system that responds
faster than you can say CVE.