TemplatesCybersecurity Startup Pitch Agent

Cybersecurity Startup Pitch Agent

Estimated Time

Estimated Time

15-20 minutes

Application Size

Applications

50-100 applications

Agent Role

Agent Role

This Agent evaluates cybersecurity startup applications submitted to early-stage pitch events. It focuses on technical novelty, clear articulation of threat landscape, strength of the founding team, and practical applicability — especially in B2B or enterprise contexts. Designed to spotlight promising security solutions even at the pre-revenue or prototype stage.

Who is it for

Who is it for

Green Tick

Cyber-focused startup accelerators and demo days

Green Tick

VC firms specializing in infosec or enterprise SaaS

Green Tick

Corporate open innovation programs

Green Tick

Cyber-focused pitch competitions at conferences

Human Biases Avoided

Human Biases Avoided

Overweighting enterprise polish vs. actual security innovation

Dismissing solo technical founders with strong execution

Favoring well-networked startups over those from emerging markets

Penalizing quiet teams who lack sales language but have deep technical merit

Effort Estimation

Effort Estimate

Save 10x time by using AI vs manual review.

100h

Manual

11h

AI-Powered

Data Enrichment Performed

Data Enrichment Performed

Green Tick

Founder/Team analysis:

  • Publicly available LinkedIn profiles for technical roles or past cybersecurity experience
  • Company site review for product positioning, compliance focus (e.g., SOC 2, GDPR)
  • AI-based web search to surface presence at cyber events, blogs, open-source tools
Green Tick

Startup footprint signals:

  • Pitch deck review (when provided) for clear attack surface/problem framing
  • Mention of integration targets (e.g., endpoint, IAM, network-level)
  • Early traction signals from forums or newsletters (e.g., mention in Hacker News, DevPost)
Green Tick

AI/ML relevance search:

  • Identifies if similar tools exist or the idea is novel
  • Surfaces comparable players for competitive landscape context
  • Checks for recent breaches/trends that the startup aligns with (e.g., ransomware, supply chain attacks)
Rubrics

Rubrics

Default scoring weights (adjustable)

CategoryWeight
Problem-Solution Fit (Clarity)20%
Technical Depth & Feasibility20%
Team Experience & Credibility20%
Innovation / Competitive Edge15%
Market Relevance & Timing15%
Communication & Presentation10%
Sample Outcome

Sample Outcome

ObscuraSecA lightweight, agent-based deception technology platform for SMBs, designed to detect lateral movement and insider threats without complex setup.

ObscuraSec

Recommended for live pitch; strong tech focus.

0.82

Final Score

RubricScore (0–1)Justification
Problem-Solution Fit0.85Clearly addresses a real need: early threat detection for SMBs without a SOC.
Technical Depth0.90Strong architecture overview; appears novel in deployment model.
Team Experience0.80CTO is an ex-incident responder; CEO has product background, not sales-heavy.
Innovation / Edge0.75There are deception tools, but this team simplifies integration impressively.
Market Relevance0.70SMB market is noisy; may face education curve.
Presentation Quality0.90Straightforward, with simple threat models and diagrams.

Frequently Asked Questions

Can this Agent detect if the security idea is already widely available?

Yes — it performs light AI-based web search and competitor surfacing to flag common patterns.

Will this penalize teams without a CISSP or major logo on their resume?

No — the Agent looks for execution signals, practical experience, and problem clarity, not just credentials.

Is the Agent suitable for both B2B and B2C cyber pitches?

Yes, but rubrics can be adjusted — e.g., B2B pitches may prioritize integrations, while B2C might focus on usability.

Can it highlight red flags like buzzword stuffing or vague architecture claims?

It can detect overuse of generic language and call for clarification if critical technical gaps are present.

How does this help events with many similar security tool submissions?

The Agent standardizes evaluation, surfaces originality, and gives consistent technical assessments across hundreds of applications.

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