Lasso

Name: Lasso
Brand: Lasso Security
Rating: 4 (1 reviews)

AI Native

End-to-End Security Platform for AI and Agents

Est 2023|Valuation $120M|Raised $58M|10 Ref Customers

LinkedIn 9K|Website|Web traffic 14K|FTEs 50|HQ Tel Aviv, Israel

Published Oct 15, 2026

01Common complaints

If the requirement is only LLM guardrails for a single application
- A focused prompt-injection / PII / jailbreak scanning API may be less expensive and faster to operationalize.
If the procurement process requires extensive public validation (dozens or hundreds of verified customer reviews)
- Lasso currently has sparse third-party review volume under its security platform identity, which complicates external validation.
If ISO 27001 certification is required today
- A SOC 2 Type II announcement is publicly stated; ISO 27001 certification is not clearly documented in accessible sources.
If fully transparent, self-serve pricing is required
- Lasso appears to be sales-led / quote-based for the security platform.
If an organization cannot accept a third-party control plane in the path of sensitive prompts and outputs
- Some organizations prefer in-house guardrails or cloud-provider-native solutions to minimize third-party data handling. Buyers should validate Lasso’s data handling, retention, and residency posture through a security review.
Current limitations acknowledged by the vendor
- No explicit limitations page was found in accessible public sources; vendor blog posts focus on the threat landscape and product approach rather than a limitations inventory.
Features on the roadmap
- Roadmap items and dates are not clearly published in accessible sources.
Scale limitations
- The vendor reports sub-50ms classification speed; this claim has not been independently validated in accessible sources.
Security or compliance gaps
- SOC 2 Type II is publicly claimed.
- ISO 27001 and other international standards are not publicly documented in accessible sources.
API limitations or integration constraints
- Public documentation is limited; one third-party comparison source mentioned integration improvements but did not provide validated user reviews.

- If the requirement is only LLM guardrails for a single application - A focused prompt-injection / PII / jailbreak scanning API may be less expensive and faster to operationalize. - If the procurement process requires extensive public validation (dozens or hundreds of verified customer reviews) - Lasso currently has sparse third-party review volume under its security platform identity, which complicates external validation. - If ISO 27001 certification is required today - A SOC 2 Type II announcement is publicly stated; ISO 27001 certification is not clearly documented in accessible sources. - If fully transparent, self-serve pricing is required - Lasso appears to be sales-led / quote-based for the security platform. - If an organization cannot accept a third-party control plane in the path of sensitive prompts and outputs - Some organizations prefer in-house guardrails or cloud-provider-native solutions to minimize third-party data handling. Buyers should validate Lasso’s data handling, retention, and residency posture through a security review. - Current limitations acknowledged by the vendor - No explicit limitations page was found in accessible public sources; vendor blog posts focus on the threat landscape and product approach rather than a limitations inventory. - Features on the roadmap - Roadmap items and dates are not clearly published in accessible sources. - Scale limitations - The vendor reports sub-50ms classification speed; this claim has not been independently validated in accessible sources. - Security or compliance gaps - SOC 2 Type II is publicly claimed. - ISO 27001 and other international standards are not publicly documented in accessible sources. - API limitations or integration constraints - Public documentation is limited; one third-party comparison source mentioned integration improvements but did not provide validated user reviews.

Deal disqualifiers: what makes a poor fit

Early-stage startups with:
- A single small LLM application
- No compliance requirements
- A strong preference for self-serve purchasing and minimal sales involvement

Why some customers left for competitors (churn reasons)

There is insufficient public review volume to substantiate churn reasons.
Hypothesized churn drivers (to validate during reference calls):
- Lack of coverage for certain tools (for example, Cursor or specific OpenAI offerings)
- Preference for narrowly focused prompt-injection APIs (e.g., specialized guardrail providers) if only app-level protections are required
- Preference for broader SaaS discovery / SSPM vendors if AI is treated as part of SaaS governance

- There is insufficient public review volume to substantiate churn reasons. - Hypothesized churn drivers (to validate during reference calls): - Lack of coverage for certain tools (for example, Cursor or specific OpenAI offerings) - Preference for narrowly focused prompt-injection APIs (e.g., specialized guardrail providers) if only app-level protections are required - Preference for broader SaaS discovery / SSPM vendors if AI is treated as part of SaaS governance

02Why they buy

Customer-reported advantages (limited sample)
- A Gartner reviewer noted the vendor’s focus on AI security and related capabilities.
Unique features and capabilities (vendor-stated; require validation)
- "Intent Security Framework" and an explicit focus on agentic AI governance
- An integrated set of capabilities spanning discovery, assessment/testing, and enforcement / runtime protection
Differentiation from competitors (based on available material)
- Insufficient review density exists to assert definitive differentiation. The vendor’s published research may signal technical depth in certain adversarial testing areas.
Areas where competitors have clear advantages
- Specialized guardrail vendors may offer simpler developer experiences and faster integration for single-application use cases.
- Larger security vendors may provide stronger procurement comfort, existing enterprise integrations, and perceived long-term vendor stability.

- Customer-reported advantages (limited sample) - A Gartner reviewer noted the vendor’s focus on AI security and related capabilities. - Unique features and capabilities (vendor-stated; require validation) - "Intent Security Framework" and an explicit focus on agentic AI governance - An integrated set of capabilities spanning discovery, assessment/testing, and enforcement / runtime protection - Differentiation from competitors (based on available material) - Insufficient review density exists to assert definitive differentiation. The vendor’s published research may signal technical depth in certain adversarial testing areas. - Areas where competitors have clear advantages - Specialized guardrail vendors may offer simpler developer experiences and faster integration for single-application use cases. - Larger security vendors may provide stronger procurement comfort, existing enterprise integrations, and perceived long-term vendor stability.

Why customers chose this product over alternatives (evidence-based, but limited)

Based on vendor positioning and the very small public review footprint, reasons to evaluate Lasso include:
- A focus on agentic AI risks and functionality described as a security vault
- A combined emphasis on governance/visibility plus runtime defenses

03Field reports

Review platform reality check (important for this product)

Lasso has very limited accessible third-party review volume under its security platform name.
Gartner Peer Insights shows a very small number of reviews for “Lasso Security,” which is not sufficient to generalize customer experience.
Capterra lists the product but does not surface public reviews.
TrustRadius did not surface a clearly relevant Lasso Security product review page in accessible sources; searches often lead to unrelated products named "Lasso."

- Lasso has very limited accessible third-party review volume under its security platform name. - Gartner Peer Insights shows a very small number of reviews for “Lasso Security,” which is not sufficient to generalize customer experience. - Capterra lists the product but does not surface public reviews. - TrustRadius did not surface a clearly relevant Lasso Security product review page in accessible sources; searches often lead to unrelated products named "Lasso."

Gartner Peer Insights (validated user review)

Positive sentiment (from a very small sample)
- Review title referenced an emphasis on AI security features and functionality described as a "security vault." The reviewer noted the product covered several areas relevant to their business — Sr. Data Scientist, Banking.
Negative / needs improvement (from likes/dislikes snippet)
- The reviewer noted a desire for increased visibility for specific tools (for example, Cursor and OpenAI), indicating gaps in coverage for certain integrations.

- Positive sentiment (from a very small sample) - Review title referenced an emphasis on AI security features and functionality described as a "security vault." The reviewer noted the product covered several areas relevant to their business — Sr. Data Scientist, Banking. - Negative / needs improvement (from likes/dislikes snippet) - The reviewer noted a desire for increased visibility for specific tools (for example, Cursor and OpenAI), indicating gaps in coverage for certain integrations.

G2 (name ambiguity issue)

G2 contains reviews for “Lasso Moderation,” which appears to be a different product or product line than the Lasso Security offering.
An example review for “Lasso Moderation” described configurable moderation policies for manual review and automated processes. Because “Lasso Moderation” appears to have its own separate website and pricing, these reviews should not be used as primary evidence for the Lasso Security offering without confirmation that the offerings are the same.

- G2 contains reviews for “Lasso Moderation,” which appears to be a different product or product line than the Lasso Security offering. - An example review for “Lasso Moderation” described configurable moderation policies for manual review and automated processes. Because “Lasso Moderation” appears to have its own separate website and pricing, these reviews should not be used as primary evidence for the Lasso Security offering without confirmation that the offerings are the same.

Community / Reddit

Lasso is most visible in community discussions via its published research (for example, on prompt injection and AI agent attack surfaces), rather than via deployment testimonials.
A Reddit post referenced Lasso’s Claude Code research and an open-source PostToolUse hook scanning outputs against detection patterns.
Another community thread naming Lasso alongside Lakera and others suggests consideration by practitioners but does not provide verified deployment stories.

- Lasso is most visible in community discussions via its published research (for example, on prompt injection and AI agent attack surfaces), rather than via deployment testimonials. - A Reddit post referenced Lasso’s Claude Code research and an open-source PostToolUse hook scanning outputs against detection patterns. - Another community thread naming Lasso alongside Lakera and others suggests consideration by practitioners but does not provide verified deployment stories.

HackerNews

No high-signal Hacker News discussion surfaced in accessible results for Lasso Security.

Deal-breakers and reasons customers didn’t purchase

Insufficient public evidence to be definitive.
Likely deal-breakers (inferred):
- Unclear public pricing; a sales-led procurement model may be too heavyweight for small teams
- Requirement for ISO 27001 certification when it is not publicly documented
- Requirement for strict data residency guarantees or on-prem / private cloud deployment where these are not supported

Vendor-provided testimonials / case study signals

The vendor homepage includes a testimonial attributed to a CISO & VP IT Productivity (Telit) stating Lasso’s investigative tools and employee education helped support innovation while maintaining compliance and security controls.
The same marketing materials include additional testimonials attributed to CIO / CISO / CEO roles.

Critical evaluation

Vendor testimonials are directional but are not independently verified.
Most testimonials do not provide measurable outcomes (for example, reduced incidents, quantified false positive rates, or deployment time).
Prospective buyers should request the following from vendor references or case studies:
- Before/after metrics (for example, counts of discovered shadow AI applications; reductions in data leakage events)
- Measured latency overhead at production traffic volumes
- False positive / false negative rates observed in the buyer’s domain

- Vendor testimonials are directional but are not independently verified. - Most testimonials do not provide measurable outcomes (for example, reduced incidents, quantified false positive rates, or deployment time). - Prospective buyers should request the following from vendor references or case studies: - Before/after metrics (for example, counts of discovered shadow AI applications; reductions in data leakage events) - Measured latency overhead at production traffic volumes - False positive / false negative rates observed in the buyer’s domain

Research as "case study adjacent" evidence

Lasso publishes detailed security research posts (for example, testing guardrail models and prompt-injection scenarios), which can indicate technical depth.
Research posts are not direct evidence that the platform performs well in enterprise deployments; they indicate capability in adversarial testing but should be supplemented with deployment references and performance data.

04Best fit

Company sizes

Best fit appears to be:
- Mid-market to large enterprise organizations (organizations with substantial employee count and multiple teams)
- Regulated or security-sensitive organizations (financial services, healthcare, large SaaS)
Rationale: AI governance programs, compliance demands, and shadow AI visibility needs typically increase with organizational size.

Industries and verticals where adoption is strongest (with customer examples)

Evidence is limited; some analyst commentary comes from the financial services sector.
Vendor testimonials reference Telit (telecom / IoT) as an example.

Roles and personas

Decision makers
- CISO, VP of Security, Head of AppSec
- Data Protection Officer / Privacy
- GRC leaders
End users
- Security operations / incident response teams
- AppSec engineers securing GenAI applications
- Platform engineering teams building agents and internal AI gateways

Pain points and challenges the product addresses

Limited visibility into AI tool usage and agent development across teams
Risks from prompt injection, data leakage, and indirect prompt injection via tool outputs and connectors
Need for auditability and governance for AI usage and deployments

Qualification criteria: what makes a GOOD fit

Organization has:
- Multiple AI tools in use (for example, ChatGPT, Copilot, Claude, Gemini, internal models)
- Agentic workflows (tools, connectors, MCP servers, autonomous actions)
- A requirement to standardize policies and enforcement across teams

05The pitch

What the product does (core value proposition in objective terms)

Lasso is an enterprise AI security platform intended to address governance and control for Generative AI (GenAI) adoption across three domains:
- Employee use of third-party AI tools (discovery and visibility into so-called "shadow AI")
- AI agents developed by the organization (agent governance, tool/action control)
- AI applications deployed to production (runtime protection, red teaming, policy enforcement)
The vendor describes the platform as an iterative workflow covering discovery, risk management, automated red teaming / vulnerability assessment, and runtime protection.
Lasso also publishes security research (for example, focused on prompt injection) and open-sources some defensive tooling (notably work related to Claude Code).

- Lasso is an enterprise AI security platform intended to address governance and control for Generative AI (GenAI) adoption across three domains: - Employee use of third-party AI tools (discovery and visibility into so-called "shadow AI") - AI agents developed by the organization (agent governance, tool/action control) - AI applications deployed to production (runtime protection, red teaming, policy enforcement) - The vendor describes the platform as an iterative workflow covering discovery, risk management, automated red teaming / vulnerability assessment, and runtime protection. - Lasso also publishes security research (for example, focused on prompt injection) and open-sources some defensive tooling (notably work related to Claude Code).

Target market and market positioning

Primary target: mid-market to enterprise security, GRC, and IT teams that require governance and control for enterprise AI usage and agentic AI workflows.
Positioned in or adjacent to the following categories:
- AI Usage Control (as categorized in some analyst contexts)
- AI Security / GenAI Security / AI Security Posture Management (AI-SPM)
- Agentic AI / Model Context Protocol (MCP) governance and runtime defense

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