What do Asymptote Labs and Daylight sell?

Asymptote Labs sells Agent Beacon, Asymptote Platform and Asymptote Guard. Daylight sells MDR, Phishing, DLP and Security Data Lake.

Are Asymptote Labs and Daylight in the same category?

They share AI model and agent security. Asymptote Labs's primary category is AI model and agent security and Daylight's is MDR and managed SOC.

Where are Asymptote Labs and Daylight headquartered?

Asymptote Labs is headquartered in New York City, United States.

Who owns Asymptote Labs and Daylight?

Asymptote Labs is privately held. Daylight is privately held.

What have Asymptote Labs and Daylight announced recently?

October 20, 2026: Asymptote Labs announced an oversubscribed $5.5 million seed round led by Tower Research Ventures.

Vendor comparison · 2 companies

Asymptote Labs vs Daylight

Asymptote Labs sells a runtime data platform for AI agents. Daylight sells managed agentic security services that combine an AI-native security platform with human expertise to detect, investigate, and respond to cyber threats. CISO Tribune files both under AI model and agent security. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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Asymptote Labs vs Daylight: Products, Customers and Funding Compared
What it sells
	Asymptote LabsAsymptote Labs sells a runtime data platform for AI agents.asymptotelabs.ai	DaylightDaylight sells managed agentic security services that combine an AI-native security platform with human expertise to detect, investigate, and respond to cyber threats.daylight.ai
What it sells	Agent Beacon^[2][3][4]An open-source telemetry layer for capturing and normalizing agent activity across every environment. Asymptote Platform^[4]A managed runtime data platform for operating AI agents across the organization. Asymptote Guard^[7][9]Controls that steer behavior, block actions inline, revoke access, contain sessions, or terminate agents.	MDR^{[1][4][5][6][8]}A managed detection and response service in which Daylight owns the detection-to-response cycle from alert ingestion to resolution. Phishing^[1][4]Handles user-reported emails and security alerts around the clock as part of MDR. DLP^[1][4][5]Adds an investigation and response layer to DLP signals. Security Data Lake^[1]A security data lake meant to replace a SIEM.
Categories
Categories	AI model and agent security (primary category) AI governance Workforce AI usage security	MDR and managed SOC (primary category) Security data lakes and pipelines Data loss prevention AI model and agent security
Headquarters
Headquarters	New York City, United States^[2]	Not stated on its pages
Founded
Founded	Not stated on its pages	Not stated on its pages
Ownership and funding
Ownership and funding	Privately held	Privately held
Named customers
Named customers	Not stated on its pages	Not stated on its pages
Recent news
Recent news	October 20, 2026Asymptote Labs announced an oversubscribed $5.5 million seed round led by Tower Research Ventures.^[12]	Not stated on its pages
G2 and Gartner Peer Insights
G2 and Gartner Peer Insights	G2: Not stated on its pages Gartner Peer Insights: Not stated on its pages	G2: Not stated on its pages Gartner Peer Insights: Not stated on its pages
Who it fits
Who it fits	Not written yet	Not written yet
Last verified
Last verified	October 21, 2026	November 10, 2026

Where they overlap

Asymptote Labs and Daylight are both filed under AI model and agent security.
Both are privately held.

Where they differ, field by field

Asymptote Labs's primary category is AI model and agent security; Daylight's is MDR and managed SOC.
Asymptote Labs is also filed under AI governance and Workforce AI usage security. Daylight is also filed under Security data lakes and pipelines and Data loss prevention.
Asymptote Labs lists Agent Beacon, Asymptote Platform and Asymptote Guard. Daylight lists MDR, Phishing, DLP and Security Data Lake.
Asymptote Labs is headquartered in New York City, United States.

What it sells: Asymptote Labs

What Agent Beacon does^[2][3][4]: Agent Beacon captures activity across 20+ agent harnesses including Claude Code, Cursor, Codex, and OpenClaw. Agent Beacon forwards normalized telemetry to Splunk, Datadog, CrowdStrike, and other existing systems. Agent Beacon stores a portable local activity record in JSONL.
What Asymptote Platform does^[4]: Asymptote Platform is a managed runtime data platform for operating AI agents across the organization. Asymptote Platform includes managed ingest, retention, search, and analytics. Asymptote Platform includes fleet-wide agent inventory and usage visibility.
What Asymptote Guard does^[7][9]: Asymptote Guard steers behavior, blocks actions inline, revokes access, contains sessions, or terminates agents when needed. Asymptote Guard enforces model, budget, and session-level controls so teams can limit expensive usage, stop runaway workflows, and keep AI spend within policy.

What it sells: Daylight

What MDR does^{[1][4][5][6][8]}: Daylight owns the full detection-to-response cycle from alert ingestion to resolution, with contractual accountability. Investigations begin with identity, cloud, endpoint, SaaS, and historical context. For every confirmed case, Daylight drives remediation to completion, such as revoking sessions, resetting credentials, and blocking IPs. Daylight's MDR includes AI Security, phishing, and DLP.
What Phishing does^[1][4]: Daylight handles user-reported emails and security alerts around the clock as part of MDR. Each reported email and security alert is investigated to a verdict and then remediated across every affected mailbox.
What DLP does^[1][4][5]: Daylight adds the investigation and response layer that turns DLP signals into closed cases. Daylight drives real data theft to resolution and explains benign activity instead of only flagging it. DLP is included in Daylight's MDR.
What Security Data Lake does^[1]: Daylight keeps 90 days of telemetry hot and immediately searchable, with older data archived at lower cost. Customers search the data themselves using plain English or KQL. Daylight handles the infrastructure, storage, and data operations.

Questions about Asymptote Labs and Daylight

What do Asymptote Labs and Daylight sell?: Asymptote Labs sells Agent Beacon, Asymptote Platform and Asymptote Guard. Daylight sells MDR, Phishing, DLP and Security Data Lake.
Are Asymptote Labs and Daylight in the same category?: They share AI model and agent security. Asymptote Labs's primary category is AI model and agent security and Daylight's is MDR and managed SOC.
Where are Asymptote Labs and Daylight headquartered?: Asymptote Labs is headquartered in New York City, United States.
Who owns Asymptote Labs and Daylight?: Asymptote Labs is privately held. Daylight is privately held.
What have Asymptote Labs and Daylight announced recently?: October 20, 2026: Asymptote Labs announced an oversubscribed $5.5 million seed round led by Tower Research Ventures.

About Asymptote Labs

Asymptote Labs sells a runtime data platform for AI agents. Asymptote gives teams one place to understand agent activity, investigate behavior, enforce controls, and analyze usage across tools and environments. Asymptote provides enterprise security and engineering teams a unified AI telemetry layer to see what agents are doing, govern how they operate, and continuously improve them over time.^[3]

Asymptote says agents are spreading across tools and teams faster than organizations can track them. Asymptote says agents can access data and take actions without enough real-time oversight or control. Asymptote says teams can't see which agents are effective, failing, or wasting spend.^[3]

Beacon is the open-source part of the offering. Asymptote is powered by Beacon, an open-source telemetry layer for capturing and normalizing agent activity across every environment. Agent Beacon is the open-source telemetry foundation, and the Asymptote platform builds on it with the managed control enterprises need to govern agent activity at scale. Agent Beacon captures activity across 20+ agent harnesses including Claude Code, Cursor, Codex, and OpenClaw. Agent Beacon forwards normalized telemetry to Splunk, Datadog, CrowdStrike, and other existing systems. Agent Beacon stores a portable local activity record in JSONL. Beacon gives Security and IT teams local endpoint visibility into supported agent harnesses. Beacon normalizes captured activity into a stable endpoint event schema and writes JSONL for local inspection or customer-managed forwarding.^[3][4][5]

Beacon is deployed to endpoints in several ways. Asymptote deploys Beacon across endpoints with Jamf, Fleet, and other MDM workflows. Beacon macOS deployment uses a signed and notarized package distributed through Jamf Pro, Fleet, or another MDM. On Linux, the Beacon collector runs as a systemd service. Beacon browser chat telemetry is limited to the Claude.ai and ChatGPT conversation streams captured by the optional Agent Beacon browser extension.^{[4][5][6][10]}

Asymptote Platform is the managed layer. Asymptote Platform is a managed runtime data platform for operating AI agents across the organization. Asymptote Platform includes managed ingest, retention, search, and analytics. Asymptote Platform includes fleet-wide agent inventory and usage visibility. Asymptote captures prompts, tool calls, file edits, approvals, and runtime events. Asymptote inventories Claude Code, Codex, Cursor, and other agent harnesses. Asymptote normalizes activity into one consistent source of agent runtime data.^[3][4]

Asymptote builds a complete inventory of agents and the environments they run in across an organization. Asymptote detects malicious and suspicious agent behavior in real time, with the full execution context needed to understand what happened. Asymptote surfaces threats like secret access, prompt injection, malicious tool use, suspicious commands, and data exfiltration across the complete agent session. Asymptote Guard steers behavior, blocks actions inline, revokes access, contains sessions, or terminates agents when needed. Asymptote adds visibility into the agent runtime, including the harness, prompt context, tool calls, resources accessed, and policy decisions behind each action.^[1][7]

Asymptote correlates every action in an agent session so engineers can pinpoint failed commands, retries, tool errors, slow steps, and execution loops. Asymptote lets engineering teams understand which agents, models, and workflows developers rely on across the organization. Asymptote connects model spend to the teams, agents, users, and workflows that generated it. Asymptote adds runtime context, connecting AI spend to specific users, agents, repositories, sessions, and workflows. Asymptote Guard enforces model, budget, and session-level controls so teams can limit expensive usage, stop runaway workflows, and keep AI spend within policy.^[8][9]

Asymptote can be self-hosted in AWS, Azure, or GCP for tighter control over infrastructure, networking, and data residency. Asymptote offers dedicated infrastructure for organizations that need tighter control over how agent data is stored and operated. Asymptote integrates with providers like Okta for secure access without additional passwords. Asymptote protects data with AES-256 for storage and backups and TLS 1.2+ for all data in transit. Asymptote enforces zero-day retention with providers such as OpenAI and Anthropic, ensuring customer data is not stored or used for training. Asymptote connects to the tools teams already use and extends with custom actions for workflows and systems unique to a business.^[4][10][11]

Asymptote Labs on the record

About Daylight

Daylight sells managed agentic security services that combine an AI-native security platform with human expertise to detect, investigate, and respond to cyber threats. Under the Managed Agentic Security Services (MASS) model, agents execute security work at scale, while experts provide direction, judgment, and accountability. Daylight's Aura combines AI agents, security experts, and the customer's team into one platform with shared business context. Daylight states that cloud, identity, SaaS, and AI have expanded attack surfaces faster than traditional security services are prepared to follow. Daylight states that traditional services increase capacity by adding analysts, so the number of people required grows as the work grows.^{[2][3][4][13]}

In its MDR service, Daylight owns the full detection-to-response cycle from alert ingestion to resolution, with contractual accountability. Daylight investigations begin with identity, cloud, endpoint, SaaS, and historical context. Daylight adapts its investigation to evidence across identity, endpoint, network, and cloud until the full picture is established. For every confirmed case, Daylight drives remediation to completion, such as revoking sessions, resetting credentials, and blocking IPs. Daylight maps a customer's detection surface against MITRE ATT&CK, covering every rule from each source. Daylight's MDR includes AI Security, phishing, and DLP.^[4][5]

Daylight extends its MDR coverage to AI systems, detecting and investigating AI-native threats like agents, MCP servers, and LLM activity. Daylight's AI Security covers AI systems with detection, investigation, and response for every action, not only an audit-log view. Daylight detects malicious instructions and manipulation before agents act on them. Daylight brings every detection rule from a customer's SIEM, cloud, identity, and endpoint tools into a single library that runs continuously across the stack. Daylight handles user-reported emails and security alerts around the clock as part of MDR.^[4][5][6]

Daylight's threat hunting uses autonomous agents that continuously hunt across a customer's security ecosystem with IOC- and hypothesis-driven techniques, guided by threat intelligence. Daylight's IOC hunts search for malicious IPs, domains, hashes, identities, and other indicators, then investigate matches and deliver a documented conclusion. When new vulnerabilities, campaigns, and supply-chain attacks emerge, Daylight turns threat intelligence into proactive hunts to determine whether the environment is exposed.^[3][7]

Daylight keeps 90 days of telemetry hot and immediately searchable, with older data archived at lower cost and ready to rehydrate for historical investigations, audits, and compliance. Daylight stores raw telemetry as it arrives, without parsers, pipelines, or schemas required before it becomes searchable. Daylight handles the infrastructure, storage, and data operations of the data lake. The same telemetry powering Daylight MDR and threat hunting is available for a customer's own searches and investigations.^[7][8]

Daylight manages detection engineering, rule tuning, and ongoing maintenance for customers. Daylight uses bi-directional integration to bring identity, device, cloud, and business context into every investigation and to share results back across the security ecosystem. Daylight uses AI-assisted onboarding and 120+ integrations to connect a customer's environment. Daylight states that its agentic services can develop new integrations within days. Daylight states that its experts across four regions keep customer hours. Daylight's team builds the detections, integrations, and automations for a customer's security program.^[3][5][9]

During its POC, Daylight integrated the tools in Antidote Health's environment and set up customized detection rules on cloud, identity, and SaaS applications. Antidote Health is a health tech company delivering health insurance solutions in the U.S. LVT (LiveView Technologies, Inc.) provides rapidly deployable security hardware, powered by a proprietary SaaS platform. Daylight supports Tier 1 triage through automated end-user validation workflows, which let suspicious activity be confirmed directly with employees when appropriate. Daylight ingested Lusha's own API logs and built detection logic for unusual export volumes and scraping behavior. Lusha is a B2B sales intelligence platform.^{[1][4][7][8][10][11][12][14]}

Daylight on the record

Sources

Asymptote Labs full record

[1]asymptotelabs.aiAsymptote Labs · asymptotelabs.ai · undated page, accessed October 21, 2026 · Tier A
[2]Asymptote labs raises 5 5m seed roundAsymptote Labs · asymptotelabs.ai · published October 20, 2026 · Tier A
[3]Asymptote: Real-time Visibility & Control for AI AgentsAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[4]PricingAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[5]Security & IT Rollout Guide - AsymptoteAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[6]Linux Install - AsymptoteAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[7]Asymptote For Security & ITAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[8]Asymptote For EngineeringAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[9]Asymptote For AI FinOpsAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[10]SecurityAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[11]IntegrationsAsymptote Labs · undated page, accessed November 10, 2026 · Tier A
[12]Asymptote Labs Raises $5.5M to Build Runtime Infrastructure for AI Agents | AsymptoteAsymptote Labs · published October 20, 2026 · Tier A

Daylight full record

[1]daylight.aiDaylight · daylight.ai · undated page, accessed November 10, 2026 · Tier A
[2]Daylight vs reliaquestDaylight · daylight.ai · published June 2, 2026 · Tier A
[3]Managed Security Services | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[4]Managed Agentic Security ServicesDaylight · undated page, accessed November 11, 2026 · Tier A
[5]Managed Detection and Response (MDR) Services | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[6]AI Threat Detection & Security Services | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[7]Managed Threat Hunting Services | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[8]Managed Security Data Lake | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[9]Security Integrations | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[10]How Antidote Health Secures a Fast-Changing StackDaylight · undated page, accessed November 11, 2026 · Tier A
[11]How LVT Scaled Security Operations with DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[12]How Lusha Scaled Security Without Building a SOCDaylight · undated page, accessed November 11, 2026 · Tier A
[13]Our Story | DaylightDaylight · undated page, accessed November 11, 2026 · Tier A
[14]How The Motley Fool Reached Zero Backlog with DaylightDaylight · undated page, accessed November 11, 2026 · Tier A

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