Adaptive Security

Name: Adaptive Security
Brand: Adaptive Security

AI NativeLeader

Next-gen security training & AI attack simulations. Protection from deepfakes, vishing, smishing, and AI email attacks.

Est 2024|Valuation $606M|Raised $146.5M|22 Ref Customers

LinkedIn 17K|Web traffic 84K|FTEs 239|HQ New York, NY

MarketsSecurity Awareness & Training

01Competitive Landscape

Narrative analysis

Areas where Adaptive shows strength: - Emphasis on multi-channel simulations (email/SMS/voice) and scenarios intended to reflect AI-era social engineering - Customization capabilities (reviewers reference tailoring content to their organization) - Rapid product iteration and responsive vendor support as reported by several reviewers Where incumbents often perform well: - KnowBe4 provides published pricing and broad content library depth, which simplifies procurement and reduces the need for customization - Mature vendors typically offer more extensive reporting/export options and a larger template library Pricing comparison: - KnowBe4 publishes list pricing bands and tier levels; Adaptive requires a sales process for pricing - Buyers should obtain quotes that compare employee count, included channels, triage features, and support level when evaluating total cost Adoption trends / market presence: - Established vendors often report very large installed bases (vendor-published); Adaptive is a newer entrant with notable funding activity but fewer independently verifiable adoption metrics in public sources

	Adaptive Security	KnowBe4 SAT	Hoxhunt
Starting Price	Custom quote (not published)	Published list pricing (example bands exist for per-seat pricing)	Typically quote-based in the market (not publicly confirmed in reviewed sources)
Typical fit	Organizations prioritizing AI-era realism (deepfake/vishing/smishing) and customization	Organizations seeking a mature content library, established workflows, and published pricing tiers	Organizations prioritizing engagement and behavior change via gamification
Key Strength	Multi-channel simulations and emphasis on AI-era social engineering scenarios; customer feedback notes rapid product iteration and responsive support	Large content library, published tiering, broad market adoption	Engagement mechanics and behavior-focused design approaches
Key Weakness	Reported limitations in reporting flexibility and certain platform maturity gaps; pricing opacity	Can be perceived as template-driven and slower to address novel AI social engineering scenarios; add-on complexity	Gamification may not fit all cultures; setup/customization can be resource-intensive

01Competitive Landscape

Narrative analysis

Areas where Adaptive shows strength:

Emphasis on multi-channel simulations (email/SMS/voice) and scenarios intended to reflect AI-era social engineering
Customization capabilities (reviewers reference tailoring content to their organization)
Rapid product iteration and responsive vendor support as reported by several reviewers

Where incumbents often perform well:

KnowBe4 provides published pricing and broad content library depth, which simplifies procurement and reduces the need for customization
Mature vendors typically offer more extensive reporting/export options and a larger template library

Pricing comparison:

KnowBe4 publishes list pricing bands and tier levels; Adaptive requires a sales process for pricing
Buyers should obtain quotes that compare employee count, included channels, triage features, and support level when evaluating total cost

Adoption trends / market presence:

Established vendors often report very large installed bases (vendor-published); Adaptive is a newer entrant with notable funding activity but fewer independently verifiable adoption metrics in public sources

	Adaptive Security	KnowBe4 SAT	Hoxhunt
Starting Price	Custom quote (not published)	Published list pricing (example bands exist for per-seat pricing)	Typically quote-based in the market (not publicly confirmed in reviewed sources)
Typical fit	Organizations prioritizing AI-era realism (deepfake/vishing/smishing) and customization	Organizations seeking a mature content library, established workflows, and published pricing tiers	Organizations prioritizing engagement and behavior change via gamification
Key Strength	Multi-channel simulations and emphasis on AI-era social engineering scenarios; customer feedback notes rapid product iteration and responsive support	Large content library, published tiering, broad market adoption	Engagement mechanics and behavior-focused design approaches
Key Weakness	Reported limitations in reporting flexibility and certain platform maturity gaps; pricing opacity	Can be perceived as template-driven and slower to address novel AI social engineering scenarios; add-on complexity	Gamification may not fit all cultures; setup/customization can be resource-intensive