THE AGENTIC DEVELOPMENT SECURITY PLATFORM

Machine-speed security for AI-written code.

Agents write the code. AI attackers weaponize the flaws.

Heeler autonomously operates AppSec across every layer of the AI SDLC — preventing risk, deterministically fixing vulnerabilities, and orchestrating response without human bottlenecks.

Heeler platform overview

Trusted by AI-forward teams

Big Panda
AlphaSense
Trulioo
LendingTree
Savvas
Zappi
Great Minds
AI HAS DESTROYED THE CONSTRAINTS

Agents write the code. AI attackers weaponize the flaws.

Higher volume, less scrutiny

Agents generate code faster than humans can review it.

More code. Less scrutiny. More exploitable paths.

Every agent has different risk

Codex. Cursor. Claude Code. Copilot. Custom models.

Different defaults. Different behaviors. No consistent posture.

Skills & MCP: a new supply chain

Agents execute external skills and MCP servers with implicit trust.

Compromised instructions become compromised software.

Legacy risk — now at machine speed

Supply chain. Code security. Secrets.

AI attackers discover and exploit them in minutes.

AppSec programs have to prevent, fix, and operate at machine speed — and you need context to do this.

HEELER CONNECTS, UNIFIES, AND ACTS — AUTOMATICALLY

Context, turned into action.

Connect your repos, registries, and cloud. Heeler builds one shared model across code, cloud, business, ownership, threat, and agent context — so every fix, guardrail, and workflow acts on the same reality.

Agent

Skills, MCP configs, policies

Code

Repos, modules, dependencies, reachability, patterns, commit history

Cloud

Live services, exposure, configuration, deployment state, threat modeling

Business

Service criticality, compliance scope, risk tolerance

Ownership

Team mapping down to dependency level

Threat

Vulnerability research, CVE feeds, exploit availability

No sensors. No tagging. No build modification.

CONTINUOUS SECURITY POWERED BY CONTEXT

Three layers. One continuous system.

01 — PREVENT

Prevent

Security during code generation

Heeler embeds directly into coding agents through MCP and agent skills to enforce policies and steer secure code generation before insecure code exists.

This prevents compromised dependencies, unsafe upgrades, and non-compliant code from ever reaching developers or CI.

Claude Code · payments-api
"Add CSV export to transaction history."
✗ Heeler skills reviewed Claude's package picks
fast-csv@2.0 → known CVE · csv-writter → typosquat of csv-writer · csv-formatter@0.3 → GPL-3.0 denied
✓ Heeler / safe replacement selected
csv-stringify@6.5.1 — MIT · no CVEs · verified publisher · 82% adoption in your fleet
02 — FIX

Fix

Deterministic agentic remediation

Heeler burns down the backlog and responds the moment new CVE research is published.

It delivers deterministic fixes for both SCA (dependency upgrades) and SAST findings — each one proven end-to-end in your build and CI, then delivered as a validated, merge-ready PR.

03 — OPERATE

Operate

Operate across the AI SDLC

Heeler's own engines cover every signal that matters — dependencies, code, infrastructure definitions, secrets, agent files and your CI/CD supply chain. One graph, one policy, re-scored continuously as your environment changes.

Ownership, SLOs, tickets, exceptions and verified closure run on their own. Nobody triages a queue. Nobody chases a team.

Agent File · SuspiciousScore 42
.claude/skills/pr-review/SKILL.md
SKILL.mdexternal URLunknown-host.io
SKILL.mdtool poisoningpermission bypass
Static: 1 external host reference
LLM judge: tool poisoning · high confidence
Verdict: Suspicious · Kind: Skill · Repo: platform-tools

Words don't do it justice. Let's show you.

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Where it fits

Consolidates work spread across three tool categories

One platform for contextual detection, deterministic remediation, and AppSec operations — instead of stitching the workflow together across separate tools.

Traditional scanning tools
Heeler adds cloud context for true exploitability and the ownership context to automate it — so AppSec fixes what's actually dangerous first, at machine speed.
Remediation point solutions
Deterministic fixing built into one platform — no stitching together a separate tool for each part of the AI SDLC.
ASPM & all-in-one platforms
All their context and automation — but you need fixes at machine speed, not posture management.
See how Heeler compares →

The outcomes teams see.

>95%

reduction in compromised-dependency risk

Hours

not weeks — CVE to fix in prod

 

>90%

of AI-picked risk blocked at code generation

 

SOC 2 Type II
No sensors
Live in a day
Trust Center →
PURPOSE-BUILT FOR THE AI SDLC

Risk prevented or remediated.

Automatically. At machine speed.

Prevent
Fix
Operate
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