Cognium Labs · Investor Deck

Trust Engine

75%

CVE detection

3.3x

vs CodeQL

0

false positives

Live Registry

23,691

indexed

~10K

scanned

120

revoked

Trust Infrastructure

Trust infrastructure
for software built
with AI agents.

Agents do the work. Cognium proves what they did.

Audit agent output. Verify against intent. Enforce what ships.

COGNIUM LABS

TRUST INFRASTRUCTURE

cognium.net · March 2026 · Confidential

Cognium Labs · Confidential

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The Shift

Agents write production software.
The trust layer hasn't caught up.

85%

of developers now use AI coding tools — up from 41% one year ago

95%

use AI weekly

$2.5B

Claude Code ARR in 14mo

57%

orgs run multi-agent workflows

The Shift

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The Gap

AI compressed creation to days.
Trust & governance still takes weeks.

50-person enterprise quarterly release · calendar weeks by phase

Creation

Trust & Governance

Traditional

Req3

Design3

Code5

Review2

Test3

Sec1.5

Comp1

.5

19 wk

AI-Assisted

R1

D1

C1

Review2

Test3

Sec1.5

Comp1

.5

11 wk

Creation compressed 73%. Trust & governance didn't move.

Governance is now 73% of the release cycle.

AI + Cognium

R1

D1

C1

Auditauto

Trustauto

Review1

Test1

Sec.5

.5

6 wk

13 weeks saved

Cognium audits and verifies before human review begins.

AI made creation fast. Cognium makes trust & governance fast.

Trust & Governance Gap

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What We Do

We prove what agents did.

Audit

What did the agent do?
Semantic analysis reconstructs
behavior from code.

Verify

Does it match intent?
Spec diff compares code
against declared purpose.

Enforce

Should this ship?
Trust score gates the pipeline.
Revoked = excluded.

Agent-agnostic. Works with Claude Code, Copilot, Cursor, or any agent. Cognium is the trust layer above.

Audit · Verify · Enforce

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The Engine

SAST + LLM. Deterministic proof.

75%

CVE detection

CWE-Bench-Java · 120 projects

3.3x

vs CodeQL

0

false positives

SAST + CLAUDE OPUS

81.7%

Five analyzers: Code · Instruction · Schema · Config · Bundle. Trust scored 0–100. CRITICAL = revoked.

The Engine

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Live · runics.net

The largest live trust scan of the agent skill ecosystem.

23,691

skills indexed

~10,000

scanned (42%)

120

revoked · trust zeroed

149

vulnerable flagged

3,479

perfect trust score

Source safety

ClawHub7,452

96.7%

GitHub1,081

99.2%

MCP Registry959

99.7%

Revoked = excluded from search. 0 leaked.

Top vulnerabilities

CWE-94

93 Code Inj.

CWE-79

69 XSS

CWE-22

40 Path Trav.

CWE-78

34 OS Cmd

All CRITICAL. + 41 prompt injection.

vs. public reports

Cognium~10,000

AgentAudit194

BlueRock7,000

Enkrypt AI1,000

3 sync pipelines on cron. Growing while you read this.

50x more scanned than the next largest audit.

Registry Traction

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Market

Starting with US software development.
Where the proof gap is widest.

US developer funnel (conservative)

The spending gap

$20–100

/mo on coding agents

$0

/mo proving what
agents did

Conservative US TAM

$324M

900K x $30/mo x 12

US = 67% of deployed agentic systems. EU AI Act (Aug 2026) creates pull for global expansion. Software delivery first — every new agent surface expands the TAM.

US Market

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Product

Start with one command. Scale to full governance.

Phase 1 · Now

Building

CLI + CI/CD Gate

$ npm install cognium-ai
$ cognium scan ./my-agent
✓ Trust score: 92 · 0 findings · Author-Verified

Scan from terminal. Add as GitHub Action. Trust report on every PR.

Phase 2 · Next

Conversation + BYOA

Architect refines intent in conversation. System augments into Specifica. Tasks decompose. Context hands off to any coding agent via API.

Phase 3 · Horizon

Progressive Autonomy

L1 hard-stop to L3 autonomous. Six-gate pipeline. Routines become skills. Less human oversight every cycle.

Spec standard

Specifica — open at specifica.org. The spec is a runtime artifact, not a planning artifact.

Entry points

npm install cognium-ai · GitHub Action · cognium.net/scan

Product

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Why Now

Agents crossed from assistants to authors.

2024

AI assists

Autocomplete. Suggestions.
Human authors everything.

2025–2026

Agents author

Claude Code, Codex, Cursor.
Autonomous issue-to-PR.

Aug 2026

EU AI Act enforced

Spec compliance legal.
Fines to EUR 35M / 7%.

Ecosystem proof

ClawHub: 21K+ skills. 1,184 malicious. 30 MCP CVEs in 60 days. 36.7% of MCP servers exposed to SSRF.

Developer appetite

Spec Kit: 72.7K stars. Kiro in GovCloud. 40% of enterprise apps embedding agents in 2026.

The window

The moment agents became authors, the proof gap opened. Scanning commoditizes in 18 months. The standard-setting window is now.

Why Now

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Capability Matrix

Built for the AI era.

Semantic SAST

Trust Score

Spec vs Code

Auto Pipeline

Agent-Agnostic

Cognium

SAST + LLM

0–100 tiered

Semantic diff

L1 → L3

Any agent

Claude Code Review

LLM

—

Anthropic

Copilot Review

LLM

—

Rule-based

GitHub

Kiro (AWS)

—

At generation

—

AWS

Snyk

Pattern

Adding

—

N/A

CodeRabbit

LLM

—

N/A

Greptile

LLM + graph

—

N/A

AgentAudit

LLM (3-pass)

0–100

—

Open

Coding agents (Claude Code, Copilot, Cursor, Codex) are the execution layer. Cognium is the trust layer above.

Competition

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Why Us

Why this team. Why now.

Founder

25 years in compilers and static analysis

Neuro-symbolic engine built from first principles. SAST + LLM is the technical moat.

Moat compounds

23,691 skills. Growing every 10 minutes.

Every scan adds trust data. The dataset compounds with usage.

Agent-agnostic

Works with every coding agent

Claude Code, Copilot, Cursor, Codex. Architect keeps their tools. Cognium is the trust layer.

Timing

Standard-setting window is open

Scanning commoditizes in 18 months. The winner defines trusted agent software.

Why Us

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Trust Infrastructure for the AI Era

Agents do the work.

Cognium proves what they did.

23,691

skills indexed

75%

CVE · 0 FP

120

revoked

$324M

US TAM

eyal@cognium.net

cognium.net

Cognium Labs

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