AISLE Snapshot

Find your vulnerabilities before
Mythos-armed attackers do

AISLE Snapshot runs inside your perimeter – air‑gapped, on‑prem, or in the cloud

AISLE Snapshot is an AI code audit for regulated and security-sensitive enterprises. Get industry-leading detection with AISLE's optimized LLMs or a model of your choice. Snapshot delivers verified findings prioritized by business impact – in hours.

snapshotanalyzerReady
1func (s *Server) handleLogin(w http.ResponseWriter, r *http.Request) {
2 user := r.FormValue("user")
3 q := "SELECT * FROM users WHERE name = '" + user + "'"
4 row := s.db.QueryRow(q)
5 return render(w, row)
6}
7 
8def verify_token(token):
9 parts = token.split(".")
10 if len(parts) != 3: return True # fail-open
11 return hmac_ok(parts[0], parts[1])
12 
13export function download(req, res) {
14 const p = path.join(ROOT, req.query.file)
15 return fs.createReadStream(p).pipe(res)
16}
17 
18hash := md5.Sum([]byte(password))
19store(user.ID, hex.EncodeToString(hash[:]))
20 
21memcpy(buf, payload, plen); // no bounds check
22dispatch(ctx, buf, plen);
23 
24const html = `<div class="c">${comment}</div>`
25res.send(html)
26 
27DB_PASSWORD = "prod_s3cr3t_2024"
28conn = connect(DB_HOST, DB_PASSWORD)
29 
30catch (err) { res.json({ trace: err.stack }) }
31logger.debug(err)
1func (s *Server) handleLogin(w http.ResponseWriter, r *http.Request) {
2 user := r.FormValue("user")
3 q := "SELECT * FROM users WHERE name = '" + user + "'"
4 row := s.db.QueryRow(q)
5 return render(w, row)
6}
7 
8def verify_token(token):
9 parts = token.split(".")
10 if len(parts) != 3: return True # fail-open
11 return hmac_ok(parts[0], parts[1])
12 
13export function download(req, res) {
14 const p = path.join(ROOT, req.query.file)
15 return fs.createReadStream(p).pipe(res)
16}
17 
18hash := md5.Sum([]byte(password))
19store(user.ID, hex.EncodeToString(hash[:]))
20 
21memcpy(buf, payload, plen); // no bounds check
22dispatch(ctx, buf, plen);
23 
24const html = `<div class="c">${comment}</div>`
25res.send(html)
26 
27DB_PASSWORD = "prod_s3cr3t_2024"
28conn = connect(DB_HOST, DB_PASSWORD)
29 
30catch (err) { res.json({ trace: err.stack }) }
31logger.debug(err)
1func (s *Server) handleLogin(w http.ResponseWriter, r *http.Request) {
2 user := r.FormValue("user")
3 q := "SELECT * FROM users WHERE name = '" + user + "'"
4 row := s.db.QueryRow(q)
5 return render(w, row)
6}
7 
8def verify_token(token):
9 parts = token.split(".")
10 if len(parts) != 3: return True # fail-open
11 return hmac_ok(parts[0], parts[1])
12 
13export function download(req, res) {
14 const p = path.join(ROOT, req.query.file)
15 return fs.createReadStream(p).pipe(res)
16}
17 
18hash := md5.Sum([]byte(password))
19store(user.ID, hex.EncodeToString(hash[:]))
20 
21memcpy(buf, payload, plen); // no bounds check
22dispatch(ctx, buf, plen);
23 
24const html = `<div class="c">${comment}</div>`
25res.send(html)
26 
27DB_PASSWORD = "prod_s3cr3t_2024"
28conn = connect(DB_HOST, DB_PASSWORD)
29 
30catch (err) { res.json({ trace: err.stack }) }
31logger.debug(err)
1func (s *Server) handleLogin(w http.ResponseWriter, r *http.Request) {
2 user := r.FormValue("user")
3 q := "SELECT * FROM users WHERE name = '" + user + "'"
4 row := s.db.QueryRow(q)
5 return render(w, row)
6}
7 
8def verify_token(token):
9 parts = token.split(".")
10 if len(parts) != 3: return True # fail-open
11 return hmac_ok(parts[0], parts[1])
12 
13export function download(req, res) {
14 const p = path.join(ROOT, req.query.file)
15 return fs.createReadStream(p).pipe(res)
16}
17 
18hash := md5.Sum([]byte(password))
19store(user.ID, hex.EncodeToString(hash[:]))
20 
21memcpy(buf, payload, plen); // no bounds check
22dispatch(ctx, buf, plen);
23 
24const html = `<div class="c">${comment}</div>`
25res.send(html)
26 
27DB_PASSWORD = "prod_s3cr3t_2024"
28conn = connect(DB_HOST, DB_PASSWORD)
29 
30catch (err) { res.json({ trace: err.stack }) }
31logger.debug(err)
1func (s *Server) handleLogin(w http.ResponseWriter, r *http.Request) {
2 user := r.FormValue("user")
3 q := "SELECT * FROM users WHERE name = '" + user + "'"
4 row := s.db.QueryRow(q)
5 return render(w, row)
6}
7 
8def verify_token(token):
9 parts = token.split(".")
10 if len(parts) != 3: return True # fail-open
11 return hmac_ok(parts[0], parts[1])
12 
13export function download(req, res) {
14 const p = path.join(ROOT, req.query.file)
15 return fs.createReadStream(p).pipe(res)
16}
17 
18hash := md5.Sum([]byte(password))
19store(user.ID, hex.EncodeToString(hash[:]))
20 
21memcpy(buf, payload, plen); // no bounds check
22dispatch(ctx, buf, plen);
23 
24const html = `<div class="c">${comment}</div>`
25res.send(html)
26 
27DB_PASSWORD = "prod_s3cr3t_2024"
28conn = connect(DB_HOST, DB_PASSWORD)
29 
30catch (err) { res.json({ trace: err.stack }) }
31logger.debug(err)
1func (s *Server) handleLogin(w http.ResponseWriter, r *http.Request) {
2 user := r.FormValue("user")
3 q := "SELECT * FROM users WHERE name = '" + user + "'"
4 row := s.db.QueryRow(q)
5 return render(w, row)
6}
7 
8def verify_token(token):
9 parts = token.split(".")
10 if len(parts) != 3: return True # fail-open
11 return hmac_ok(parts[0], parts[1])
12 
13export function download(req, res) {
14 const p = path.join(ROOT, req.query.file)
15 return fs.createReadStream(p).pipe(res)
16}
17 
18hash := md5.Sum([]byte(password))
19store(user.ID, hex.EncodeToString(hash[:]))
20 
21memcpy(buf, payload, plen); // no bounds check
22dispatch(ctx, buf, plen);
23 
24const html = `<div class="c">${comment}</div>`
25res.send(html)
26 
27DB_PASSWORD = "prod_s3cr3t_2024"
28conn = connect(DB_HOST, DB_PASSWORD)
29 
30catch (err) { res.json({ trace: err.stack }) }
31logger.debug(err)
Run AISLE Snapshot
ROI

Machine Speed.Verified Accuracy.One Flat Fee.

SPEED

1M+LOC/hour

Get findings fast, even on the most complex codebases

ACCURACY

95%noise reduction

Focus on the threats that matter most for your business

VALUE

10xcost-efficiency vs. Mythos

Get frontier-class detection at a fixed, predictable cost

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

UC Berkeley
Category Leaders90d
1AISLE Research TeamVolume205
2
3
4
#1 in 3 of 8 categories
UC Berkeley Vulnerability Initiative

Proven on the world's most heavily audited codebases

Bose logoOpenSSL logocURL logoOpenClaw logoLinux logoChromium logoApache logoMozilla logoRedis logoOpenEMR logoSQLite logoElastic logoMattermost logo
About Your Snapshot

Bring Your Code Into Sharp Focus

AISLE Snapshot reasons through complex codebases to deliver verified findings prioritized by reachability, severity, and business impact within hours. Built for security, Snapshot uses AISLE's optimized models or the LLM of your choice. It runs in air-gapped, on-prem, and cloud environments. Setup is fast, and it's completely torn down when the engagement ends.

AISLE Snapshot is a single, fixed-fee engagement designed to help security teams in financial services, healthcare, and other regulated industries get ahead of AI-powered threats.

request_handler.rsSCANNING
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}
!Path TraversalCWE-36 · line 8
See full details
How it Works

Built on a Proven Platform

Snapshot is powered by AISLE, which has discovered more CVEs than any other AI security platform. Use it with AISLE's optimized models or an LLM of your choice.

01

Environment Prep

AISLE helps you rapidly set up a secure analysis environment and LLM endpoint within your perimeter – from fully air‑gapped networks to enterprise AI platforms.

02

Industry-Leading Detection

Snapshot uses SAST and AI‑guided fuzzing to find issues in your codebase. It then verifies and prioritizes findings in the workflow you already use.

03

Secure Cleanup

AISLE Snapshot is ephemeral. You keep all your data. All AISLE artifacts are completely removed along with the secure analysis environment, leaving no trace.

AISLE Snapshot delivers verified vulnerabilities and prioritizes them by business impact.
The full AISLE platform goes further – automating discovery, triage, and remediation for enterprise teams.

See Enterprise

Deploy on Your Terms

Run Snapshot wherever your code has to stay – from public cloud to fully air-gapped.

Public cloud

AWS · GCP · Azure

Private cloud

Your VPC

On-prem

Self-hosted

Air-gapped

Fully isolated

The fastest way to run AI-powered vulnerability discovery for on-prem and highly regulated environments.

No source code leaves your environment. No external connectivity required.

Under the Hood

From Static Analysis to Dynamic Reasoning

Unlike legacy scanners and AI SAST tools, Snapshot 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

Compliance

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
Fully torn down when complete
FAQ

Frequently Asked Questions

CTA background

Snapshot finds your vulnerabilities.
AISLE Enterprise fixes them.