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