Daylight

What the company sells

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.

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.

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.

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.

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.

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.

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][2][3][4][5][6][7][8][9][10][11][12][13][14]}

Categories

• MDR and managed SOC (primary category)
• Security data lakes and pipelines
• Data loss prevention
• AI model and agent security
• Compare Daylight with companies in the same categoryside by side

Headquarters

Not established from our sources

Founded

Not established from our sources

Ownership

Privately held

CISO on record

Not yet on our record. Send a verified source

Website

daylight.ai

Products and services

Product names as the company writes them; what each does, in our words, from the company's own product pages. Never how well it does it.

• 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.

  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.

• Phishing^[1][4]

  Handles user-reported emails and security alerts around the clock as part of MDR.

  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.

• DLP^[1][4][5]

  Adds an investigation and response layer to DLP signals.

  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.

• Security Data Lake^[1]

  A security data lake meant to replace a SIEM.

  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.

Competitors and alternatives

The other companies on our record filed under the same categories, category by category: first those that lead with that category and share more of Daylight's categories, then alphabetical. A list from the record, never a ranking.

• On mdr and managed soc, Daylight competes with Agile Defense, Arctic Wolf, Binary Defense, Blackpoint Cyber, Critical Start, CyberProof, Cyrenity, DeepSeas, Deepwatch, DefenseStorm and 54 more.

• On security data lakes and pipelines, Daylight competes with Beacon, Cribl, DataBahn, Devo, Mars Security, Realm Security, Tenzir, Anomali, Hunters, Panther and 3 more.

• On data loss prevention, Daylight competes with Cyberhaven, Fasoo, Forcepoint, Hilt, Jazz, Next DLP, Barracuda Networks, DTEX Systems, Harmonic Security, Singulr and 19 more.

• On ai model and agent security, Daylight competes with AIShield, Alice, Asymptote Labs, Bay, Dreadnode, Enkrypt AI, Fiddler AI, HiddenLayer, Knostic, Mindgard and 54 more.

References

Every fact above cites one of these by number. Tier A is the company itself, a regulator or a filing; tier B is trade or business press.

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

Last verified November 10, 2026. Our code found the quoted passage behind each fact on its source page when the fact was recorded, and re-checks every record against its sources each month.

Recorded November 10, 2026, expanded November 11, 2026 from the references above.

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