Detect attacks.
Generate the fix.
In minutes.

HackWatch detects intrusions in real time, investigates them with AI, and opens a pull request with a secure, tested patch — before your team even opens the alert.

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hackwatch.security · live incident agent · v4.2
Active ExploitINC-2026-0847⌁ 12.4k eps◉ patched
Incident Investigation AI · CORRELATED
SSRF attempt detected
api-server · 10.0.4.21
T+0.4s
Runtime evidence captured
req headers · payload hash
T+1.2s
Endpoint traced → PaymentsController
laravel · routes/api.php:84
T+3.8s
Vulnerable source located
app/Http/Controllers/Payments.php:112
T+6.1s
↓ secure patch generated
TRUSTED BY SECURITY TEAMS AT SCALE
NorthwindVertexHeliosQuantiaLumenApertureOrbitalCobalt
How it works

From attack to remediation,
automatically

A deterministic pipeline turns a live exploit into a reviewed, tested pull request — no alert fatigue, no manual triage.

Detect

Real-time attacks are detected by the security agent as they happen — no batching, no delays.

DETECT · RUNTIME
[ALERT] anomalous outbound request
src: api-server-02
sig: SSRF · cvss 8.6
status: live · investigating

Investigate

The platform correlates runtime evidence, identifies the affected endpoint, and traces the attack back to the vulnerable source code.

INVESTIGATE · RUNTIME
trace: req → router → controller
endpoint: PaymentsController@store
file: app/Http/Payments.php
line: 112 · unsanitized input

Remediate

AI generates a secure code fix, writes regression tests, and validates the change in an isolated build.

REMEDIATE · RUNTIME
+ validateCallback($input)
+ isAllowedHost($url)
+ Http::withOptions(['verify'])
tests: 2 passed · build: green

Review

A GitHub pull request is automatically created with the patch, tests, and full context — ready for developer approval.

REVIEW · RUNTIME
$ git push origin fix/ssrf-payments
PR #482 opened → main
checks: CI passing
awaiting review ✓
Platform

Everything between the alert
and the fix

A single platform that replaces the handoff between detection tools, ticket queues, and developer toil.

DETECTION

Real-time attack detection

A lightweight agent streams runtime signals and flags active exploits in milliseconds — not after the blast radius grows.

INVESTIGATION

AI investigations

Autonomous reasoning correlates evidence across the stack to reconstruct the attack path and confirm root cause.

CORRELATION

Source code correlation

Every incident is traced back to the exact file, function, and line responsible — closing the gap between ops and engineering.

REMEDIATION

Automatic secure code generation

AI produces an idiomatic, framework-aware patch with regression tests, then validates it in an isolated build.

DELIVERY

GitHub pull request creation

Patches ship as reviewable PRs with full context — diffs, tests, and remediation notes — ready for developer approval.

GUIDANCE

Operational incident recommendations

Beyond code, HackWatch recommends containment, rotation, and hardening steps tailored to the specific attack vector.

COVERAGE

Multi-framework support

First-class adapters for Laravel, Next.js, Node.js, Python, and PHP — with extensible adapters for the rest.

DEPLOYMENT

Self-hosted deployment

Run the entire platform in your own VPC or on-premise. Your source code and telemetry never leave your perimeter.

The product

Built for the people who
respond and the people who fix

A single surface for security posture, live investigation, and developer-ready remediation.

Executive Security OverviewLAST 24H
ACTIVE INCIDENTS
3
AUTO-REMEDIATED
27
MTTR
4m
Posture score 82 / 100
Incident Investigation TimelineINC-0847
SSRF attempt detectedT+0.4s
Runtime evidence capturedT+1.2s
Endpoint tracedT+3.8s
Source locatedT+6.1s
Patch generated + testedT+2m 41s
Pull request openedT+4m 12s
Code Diff ViewerPAYMENTS.PHP
110  public function store(Request $request)
111  - $url = $request→input('callback');
112  - return Http::get($url);
111  + $url = $this→validateCallback(...);
112  + if (!$this→isAllowedHost($url)) abort(403);
113  + return Http::withOptions([...])→get($url);
114  }
DIFF+3 −2 · 2 tests
AI FindingsREASONING
ROOT CAUSE
Unvalidated user input passed to HTTP client → SSRF
AFFECTED
PaymentsController · 1 endpoint · 3 routes
CONFIDENCE
98.4% · validated against runtime evidence
RECOMMENDATION
Add host allow-list + enable TLS verification
Pull Request StatusPR #482
Openfix/ssrf-payments → main
CI: build & testpassing
Code reviewpending
Security scanpassing
Agent Health4 NODES
api-server-014.2k epshealthy
api-server-024.8k epshealthy
worker-queue-031.1k epsdegraded
edge-gateway-0112.4k epshealthy
Supported technologies

Fits the stack you already run

First-class adapters for the frameworks and infrastructure your team ships to production every day.

LaravelNext.jsNode.jsPythonPHPGitHubDockerPostgreSQLRedisYour framework

NOTEAdditional frameworks can be supported through framework adapters — bring your own or request one from our team.

Comparison

Stop at the alert. Or finish the
job.

Traditional tools hand you a ticket and hope. HackWatch carries the incident all the way to a reviewed pull request.

TRADITIONAL SECURITY manual

Detect, then wait

Detect attack
Generate alert
Engineer investigateshours–days
Engineer writes fixhours–days
Mean time to remediation ~6 hrs
HACKWATCH PLATFORM autonomous

Detect to pull request

Detect attackT+1m
AI investigatesT+2m
</>Vulnerable code identifiedT+3m
Secure patch generatedT+4m
Pull request createdT+5m
Mean time to remediation ~4 min
ROI calculator

See what autonomous remediation saves you

Estimate the engineering hours and dollars your team reclaims when incidents resolve themselves instead of queuing for a human.

YOUR ENVIRONMENT monthly
MANUAL COST / MO
$28,800
HACKWATCH COST / MO
$320
ESTIMATED SAVINGS
HOURS SAVED / MO
237
from 240 hrs down to 2.7 hrs
DOLLARS SAVED / MO
$28,480
$341,760 / year
Remediation cost reduction 99%

Based on a 4-minute mean time to remediation on HackWatch vs. your 6-hour manual baseline. Averages — your results depend on incident complexity.

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Testimonials

Security teams shipping fixes, not tickets

HackWatch closed the loop we'd been trying to close for years. An SSRF hit production at 2am and there was a reviewed, tested pull request before the on-call engineer finished their coffee.
EV
Elena Vasquez
VP Security Engineering · Northwind Financial
We retired three separate tools. Detection, investigation, and remediation now happen on one surface, and our developers actually trust the patches because they ship as normal PRs.
DO
Daniel Okonkwo
Head of Platform Security · Vertex Cloud
The source-code correlation is the breakthrough. For the first time our security team points engineering at the exact line, not a vague ticket. MTTR dropped by an order of magnitude.
MT
Mei Tanaka
CISO · Helios Health
FAQ

Questions,
answered

Everything you need to evaluate HackWatch for your environment.

No. HackWatch never pushes code to production on its own. It generates a secure patch, validates it with regression tests in an isolated build, and opens a pull request. A developer reviews and merges — keeping humans in control of every change that ships.

REQUEST A DEMONSTRATION

Move from attack to
remediation in minutes

See HackWatch detect a live exploit, investigate it, and open a reviewed pull request — on your stack, with your team watching.

No commitment · 30-minute walkthrough · SOC 2 Type II