Agents do the work.
Cognium proves what they did.
Trust infrastructure for software built with AI agents
COGNIUM LABS · cognium.net · April 2026 · Confidential
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The Gap
AI compressed creation to days.
Governance still takes weeks.
Req · 3
Design · 3
Code · 5
Review · 2
Test · 3
Sec+Dep · 3
19
weeks
Traditional
R+D+C · 3
Review · 2
Test · 3
Sec+Dep · 3
11
weeks
AI-Assisted
R+D+C · 3
Cognium · auto
Rev · 1
T+D · 1
6
weeks
AI + Cognium
Creation
Governance
Cognium
5×
governance compression
The Gap
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And the pressure is building
0%
of developers now use AI coding tools
Stack Overflow 2025
$2.5B
Claude Code ARR in 9 months
4%
of GitHub commits by Claude Code
53%
enterprise agentic AI adoption by 2026
The Shift
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We prove what agents did.
Audit
What did the agent do?
Reconstructs behavior
from code.
Verify
Does it match intent?
Spec diff against
declared purpose.
Enforce
Should this ship?
Trust score gates
the pipeline.
Agent-agnostic. Claude Code, Copilot, Cursor, Codex. Cognium is the trust layer above.
Audit · Verify · Enforce
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The Engine
Deterministic proof. Not probabilistic guessing.
SASTground truthstructure · flow · typesLLMsemantic understandingmeaning · intent · contextDeterministicProofSAST grounds the LLM
0%
CVE detection
CWE-Bench-Java
120 projects
0×
vs CodeQL
0
false positives
The Engine
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Live · runics.net
One in ten skills is dangerous. Most go completely unchecked.
Each dot = 10% of scanned skills
9.4%
hit rate from 2,592 scanned
244 revoked or flagged
21,099
skills unscanned
The unscanned corpus is the market. At 9.4%, thousands of dangerous skills are live with no earned trust score.
What we found
CWE-94
500+ Code Inj.
CWE-78
129 Cmd Inj.
CWE-200
69 SSRF
Live, attributed, revocable — publishable today.
Why pattern tools miss them
Install counts, GitHub stars, and A–F heuristic grading operate at the metadata level — surface signals about a package, not analysis of what the code actually does.

Neuro-symbolic SAST traces data flow through code structure. These are fundamentally different analytical depths.
Signal Density
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Product
Start with one command. Scale to full governance.
Phase 1 · Now
Building
CLI + CI/CD Gate
$ npm install @cognium/controldeck
$ controldeck scan ./my-agent
✓ Trust score: 92 · 0 findings
Verifies agent output against declared intent. Not code review — behavioral verification.
Phase 2 · Next
Conversation + BYOA
Architect refines intent. 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.
Drop-in
Alongside SonarQube, Checkmarx. Adds spec-aware trust layer.
Open standard
Specifica — specifica.org. Runtime artifact, not a planning artifact.
Product
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Traction
What's already real.
Shipped
Trust engine — benchmarked, in production
Registry — live, 3 sync pipelines running
Open source — MIT engine at cognium.dev
Specifica — open standard at specifica.org
Active now
TCS — BFSI CTO engagement active
DoxAI — customer + product partner
Advisor — Dr. Naren, compliance frameworks
Series A trigger
First enterprise partner generating revenue
Targeting signed engagement within 2–3 quarters

Active pipeline conversations with enterprise partners. Each has scoped use cases.
This quarter
ControlDeck CLI ship · First partner pilot scan · CVE research publication
Next quarter
Conversation layer + BYOA context handoff · Private registry for partners · Conference pipeline
H2 2026
First enterprise revenue · Category presence in top 5 benchmarks · 20+ verified workflows
Traction
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Market & Revenue
$324M addressable. No budget line for agent trust today.
US software developers4.4MUsing AI tools (84%)3.7MUsing agents1.5MShipping agent-built production900K
The spending gap
$20–100
/mo on agents
$0
/mo proving what
agents produced
Conservative US TAM
$324M
900K × $30/mo × 12
Revenue model
$30/dev/mo CLI + CI/CD + reports
Enterprise tiers private registry, analyzers
Partner resale domain skills on platform
Market & Revenue
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Platform Economics
Horizontal base. Partners build the domain layer.
Partner Domain Layer
Their IP, their moat
KYC/AMLRegulatoryMigrationInsurancePaymentsHealthcare
↑ extends ↑
Cognium Platform
27+ analyzers · trust-verified skills
SecuritySupply ChainComplianceTrust ScoreAudit Trail
Multiplier
Every partner adds domain rules. Domain knowledge becomes defensible IP in their private registry.
Revenue layers
Platform subscription
Implementation + domain skills
Enterprise expansion
Compounding
Successful workflows distill into registry skills. Every run makes the platform stronger. Usage compounds the moat.
Platform Economics
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The Race
The category is being defined right now.
40%
Gartner 2025
of agentic AI projects will be canceled by 2027
due to lack of governance. The demand for trust infrastructure is structural, not speculative.
0
AI security M&A deals in Q1
More than all of 2025
$3.8B
Cybersecurity financing Q1
Up 33% YoY · 211 rounds
$264M Axiom · Verified AI
$132M Noma · Agent Security
~$500M Protect AI · Acq. Palo Alto
Scanning commoditizes in 18 months. The standard-setters will be locked in.
The Race
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Team & Structural Position
Why this team. Why this approach wins.
Founder
Eyal · 25+ years in compilers, PLT, SAST
Spent two decades building analysis engines for human-written code — then watched agents start writing code with no analysis layer at all.
Advisor
Dr. Naren
80+ publications. IBM Research → Ericsson. IEEE Senior Member. Compliance frameworks and service orchestration.
I · Independence
The auditor cannot be the auditee
Anthropic cannot independently verify output against your intent. Multi-model stacks need an independent verifier. This position is permanent.
II · Depth
Neuro-symbolic vs pattern matching
SAST + LLM produces deterministic, graph-proven results. LLM-only tools hallucinate. Pattern-only tools miss semantic threats.
III · Enforcement
Revocation vs flagging
Competitors flag dangerous skills. Cognium revokes — excluded from search at the registry layer. Architectural enforcement, not advisory.
Team & Position
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The Ask
$0M
Seed round · Rolling close · SAFE notes
$250K
committed from prominent angels
in AI dev tools & verification
What this round builds
3-person R&D team to ship spec-diff
First partner pilot to revenue
Category presence: benchmarks + CVE publication
This is the round that takes Cognium from a working engine with live data to the company that defines how enterprises trust agent-built software.
The Ask
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Agents do the work.
Cognium proves what they did.
elarasu@cognium.net
cognium.net
Cognium Labs
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