THE AGENTIC DEVELOPMENT SECURITY PLATFORM

The prioritization era is over.

Agents write the code. AI attackers weaponize the flaws.

Heeler prevents, fixes, and audits every layer of the AI SDLC — deterministically, at machine speed.

No sensors. No tagging. No build modification. Live in a day.

Heeler platform overview

Trusted by AI-forward teams

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

Scan. Score. Triage.

Accept the rest.

Prioritization was imperfect — but it was rational.

THEN
Human attacker

Single known CVE • Days or weeks to weaponize

NOW
AI attacker

Chains low-severities • Novel exploits in minutes

When exploit generation becomes effectively free, prioritization stops being a security strategy.

APPSEC NOW HAS TO SECURE AI-NATIVE DEVELOPMENT — AND PROTECT AGAINST AI ATTACKERS

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.

What's needed is context — gathered automatically, across everything.

HEELER CONNECTS, UNIFIES, AND ACTS — AUTOMATICALLY

Heeler is a context engine.

Connect your repos, registries and cloud. Heeler automatically builds the context that makes every fix deterministic, every guardrail precise, every workflow automatic, and every result feel like magic.

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 deterministically selects the safest, highest-impact upgrade path, validates the fix, resolves CI failures, and produces a verified PR ready to merge.

Heeler agent · PR #519 · auto-fixable
Remediate CVE-2020-14343
PyYAML 5.3.1 (transitive) · exploitable via /api/orders
Built dependency graph — direct + transitive
Deterministic analysis: usage, reachability, path compatibility
Selected 6.0.1 — max security, no breaking constraints
Applied upgrade + required code changes
Ran CI — 2 failures auto-fixed, 47 checks green
Validated PR ready to merge
03 — AUDIT

Audit

Verify across the AI SDLC

Heeler continuously verifies security pre-commit, at pull request, and post-merge — across every signal that matters in the AI SDLC.

When new exposure is identified, Heeler automatically validates fixes, generates remediations, opens verified PRs, and orchestrates response.

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

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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
Audit
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