What do Apiiro and Daylight sell?

Apiiro sells AI-SAST and AI-SCA. Daylight sells MDR, Phishing, DLP and Security Data Lake.

Are Apiiro and Daylight in the same category?

They share AI model and agent security. Apiiro's primary category is Application security posture management and Daylight's is MDR and managed SOC.

Who are Apiiro and Daylight sold to?

From its own pages, Apiiro presents Guardian Agent as delivering outcomes for CISOs and CTOs.

Vendor comparison · 2 companies

Apiiro vs Daylight

Apiiro offers Guardian Agent, which protects coding agents, prevents risk and AutoFixes backlogs, powered by the Apiiro Context Graph. 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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Apiiro vs Daylight: Products, Customers and Funding Compared
What it sells
	ApiiroApiiro offers Guardian Agent, which protects coding agents, prevents risk and AutoFixes backlogs, powered by the Apiiro Context Graph.apiiro.com	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	AI-SAST^[9]Static analysis that uses context from the customer's software graph and business risk to detect vulnerabilities. AI-SCA^[10]Open source security that moves from CVE matching to risk validation and fix.	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	Application security posture management (primary category) Software composition analysis Software supply chain security AI model and agent security	MDR and managed SOC (primary category) Security data lakes and pipelines Data loss prevention AI model and agent security
Headquarters
Headquarters	Not stated on its pages	Not stated on its pages
Founded
Founded	Not stated on its pages	Not stated on its pages
Ownership and funding
Ownership and funding	Not stated on its pages	Privately held
Named customers
Named customers	Not stated on its pages	Not stated on its pages
Recent news
Recent news	Not stated on its pages	Not stated on its pages
G2 and Gartner Peer Insights
G2 and Gartner Peer Insights	G2: listed, seen November 10, 2026^[15] 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	From its own pages, Apiiro presents Guardian Agent as delivering outcomes for CISOs and CTOs. In our reading, the Apiiro Context Graph is aimed at application security, development and compliance teams working alongside coding agents. Apiiro gives maintainers free AutoFix.	Not written yet
Last verified
Last verified	November 3, 2026	November 10, 2026

Where they overlap

Apiiro and Daylight are both filed under AI model and agent security.

Where they differ, field by field

Apiiro's primary category is Application security posture management; Daylight's is MDR and managed SOC.
Apiiro is also filed under Software composition analysis and Software supply chain security. Daylight is also filed under Security data lakes and pipelines and Data loss prevention.
Apiiro lists AI-SAST and AI-SCA. Daylight lists MDR, Phishing, DLP and Security Data Lake.
Daylight is privately held.

What it sells: Apiiro

What AI-SAST does^[9]: AI-SAST shifts static analysis from a detection problem to a risk validation and fix problem. AI-powered SAST uses context from the customer's software graph and business risk to detect vulnerabilities, validate true positives and identify false positives. Deep Code Analysis builds the Software Graph across files, code modules, repositories and code owners, updated on every commit.
What AI-SCA does^[10]: AI-SCA shifts open source security from CVE matching to risk validation and fix. Contextual analysis decides whether a vulnerability is used in code, internet exposed and exploitable. Malicious packages, license conflicts and AI components are covered beyond CVEs. Dependency scanning reaches the leaf node, covering direct, transitive and custom-built internal dependencies.

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 Apiiro and Daylight

What do Apiiro and Daylight sell?: Apiiro sells AI-SAST and AI-SCA. Daylight sells MDR, Phishing, DLP and Security Data Lake.
Are Apiiro and Daylight in the same category?: They share AI model and agent security. Apiiro's primary category is Application security posture management and Daylight's is MDR and managed SOC.
Who owns Apiiro and Daylight?: Daylight is privately held.
Who are Apiiro and Daylight sold to?: From its own pages, Apiiro presents Guardian Agent as delivering outcomes for CISOs and CTOs.

About Apiiro

Apiiro offers Guardian Agent, which protects coding agents, prevents risk and AutoFixes backlogs, powered by the Apiiro Context Graph. Apiiro describes agentic development as a setting where code is written by agents, risk appears at machine speed, and offensive agents exploit vulnerabilities in seconds. Guardian Agent delivers three outcomes for CISOs and CTOs by executing actions and measuring success. On compliance, Apiiro provides automated evidence collection and policy enforcement for every feature and code change.^[1][3][4][5]

Guardian Agent actions run on the AppSec Context Graph, made up of a Software Graph and a Risk Graph, which gives every action the context of policies and software architecture from prompt to code to runtime. Patented Deep Code Analysis (DCA) and code-to-runtime matching continuously map each customer's evolving software architecture, including APIs, AI assets, PII, OSS, internal packages and their material changes. Apiiro correlates code to runtime to trace exposure paths and reachability. Apiiro governs every tool and change, human or agent, with one policy and risk engine.^[2][3][4]

Apiiro discovers, inventories and catalogs AI models, agents, MCP servers, AI datasets, 3rd-party services and everything inside codebases. Apiiro discovers and inventories the AI tools that developers and coding agents use, including IDEs, extensions, skills, plugins and MCP servers. Apiiro discovers, inventories and tracks open-source dependencies, licenses, end-of-life status, versions and vulnerabilities, and where they are used across the software architecture graph. Apiiro discovers, inventories and assesses cryptographic usage in code, including encryption, hashing, keys, secrets, certificates, algorithms and KMS implementation. Apiiro discovers, inventories and maps CI/CD pipelines, build systems, artifacts, registries, deployment flows and the software delivery paths from code to runtime. Apiiro's policy and risk engine is an open, graph-based risk engine that correlates findings from 1st/3rd-party tools, maps them to the software graph, detects toxic combinations and blast radius, and prioritizes business-specific risk. Apiiro assesses AI usage risks across code and the software supply chain, including dependencies, models, coding agents, MCP servers, skills and extensions. Apiiro continuously ingests, assesses, manages and tracks Software Bill of Materials (SBOMs) across codebases, the software supply chain (OSS) and 3rd-party applications.^[1][7]

Autonomous monitoring detects new feature tickets in Jira, GitHub and Azure DevOps and triggers threat analysis with no human in the loop.^[8]

AI-SAST shifts static analysis from a detection problem to a risk validation and fix problem. Deep Code Analysis (DCA) continuously builds a Software Graph of the software architecture across files, code modules, repositories and code owners, updated on every commit and material change. AI-SCA shifts open source security from CVE matching to risk validation and fix. Apiiro continuously detects vulnerable and malicious OSS components and risky licenses using AI-powered context from the customer's software graph and business risk. Dependency scanning runs to the leaf node, covering direct, transitive and custom-built internal dependencies. Open source coverage extends beyond CVEs to malicious packages, license conflicts and AI components.^{[5][6][7][9][10][12]}

Apiiro detects secrets in code, history, documentation and pipelines. Apiiro surfaces secrets deleted from the codebase that remain in every branch and revision of Git history. Apiiro checks every detected secret against the issuing platform, marking it valid, invalid or revoked. Guardrails block valid secrets at the pull request, before deployment. Apiiro inventories AI agents, MCP servers, GenAI frameworks, models, datasets and AI-related secrets from code on every commit. Apiiro blocks unapproved frameworks and models at the pull request. Apiiro generates audit-ready evidence for the EU AI Act, NIST AI RMF and ISO/IEC 42001 from code.^[11][12]

Apiiro maps packages, skills and plugins to their repositories, coding agents, pipelines and running containers. Apiiro's Dependency Firewall scans open-source code using Deep Code Analysis to detect and block malicious packages before installation. Apiiro inspects packages downloaded by coding agents, locally and in the cloud, across operating systems. Package policies control installations based on malware, backdoors, vulnerabilities and application risk.^[13]

AutoFix takes findings from Apiiro's own scanners, 3rd-party scanners and frontier model scans, and fixes them across the attack surface. Apiiro generates each fix in the context of the software architecture graph and organizational policies, and runs tests to prove nothing breaks. Apiiro reflects Chainguard's remediation state directly in Risk Graph, so findings Chainguard has already fixed stop showing as open. Apiiro AutoFixes OSS in first-party code based on risk and gives maintainers free AutoFix to accelerate community fixes.^{[1][2][3][5][6][7][8][9][10][14]}

Apiiro 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

Apiiro full record

[1]apiiro.comApiiro · apiiro.com · undated page, accessed November 3, 2026 · Tier A
[2]Apiiro named the most innovative aspm provider worldwide byfrostsullivansApiiro · apiiro.com · published December 9, 2025 · Tier A
[3]Apiiro Context Graph: How it Works, Benefits, Use Cases | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[4]Guardian Agent: Application Security Posture Management to action | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[5]Guardian Agent: Secure agentic development | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[6]Free AutoFix for open source maintainers | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[7]Apiiro: Secure your agentic developmentApiiro · undated page, accessed November 10, 2026 · Tier A
[8]Guardian Agent: AI Threat Modeling, Secure by Design | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[9]AI-SAST: Static scanning reimagined | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[10]AI-SCA: Open source security reimagined | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[11]Secrets Security: Detect, validate, fix | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[12]AI-SPM: Discover & govern every AI asset | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[13]Guardian Agent: Protect from Software Supply Chain Attacks | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[14]Guardian Agent: AutoFix SAST, SCA, Secrets, API, Containers | ApiiroApiiro · undated page, accessed November 10, 2026 · Tier A
[15]Apiiro Reviews 2026: Details, Pricing, & FeaturesG2 · undated page, accessed November 10, 2026 · Tier C

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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