Meet us at Black Hat 2026

See what senior security leaders across finance, healthcare, high tech and retail report, how their answers compared to AI model predictions, and the strategic recommendations you need to close the gap.

Learn More.
2026 Mobile App Risk Management Survey promo image
New: AI-native capabilities built for the speed and risk of AI-driven app development. New: AI-native capabilities built for the speed and risk of AI-driven app development. Learn More.
magnifying glass icon

NowSecure Agentic AI

Your mobile security data has answers.
Just Ask.

NowSecure Agentic AI connects to your mobile risk data. It answers portfolio-level questions, takes scoped actions on your behalf, and returns proof, not just findings. See it in action Explore capabilities

Background+Border+Shadow

Mobile vs. Web

The attacker already has your binary.

No perimeter. No firewall. Mobile apps are publicly downloadable, decompilable, and analyzable before you fix a single line of code. 31%

of breaches start with vulnerability exploitation, overtaking credential theft for the first time.

Verizon DBIR 2026 <4 hrs

from vulnerability disclosure to weaponized exploit. Down from 771 days in 2018.

CSA / Synack 2026 4K

CVEs forecast for 2026. Only 26% of known-exploited vulnerabilities fully remediated in 2025.

FIRST 2026 · Verizon DBIR 2026

Ask a question. Get proof. Take action.

Ask about a finding, search your portfolio, or push a fix. Every answer is
grounded in evidence.

AI Chat features

Background+Border (1)

00 Foundation

NowSecure is the AI harness for mobile security.

Your AI IDE wraps the model in your codebase. NowSecure does the same for mobile security: your data, your evidence, your tools as the harness. The model is the engine.

  • MCP connects NowSecure AI tools to your mobile security data
  • AI reasons over your verified findings, not training data. Answers reflect what’s actually in your apps.
  • Every answer is auditable. Every action is traceable.

01 AI Chat

Mobile security expertise, on demand.

Ask about any finding in plain language. AI Chat answers from binary evidence, not a CVE database lookup.

  • Interprets binary evidence, runtime traces, and SDK risk. No mobile specialization required.
  • Every answer links to its source artifact. One-click verification.
  • Download any conversation as markdown, ready for a leadership update or incident response.
Background+Border-1
Background+Border-2

02 SDK and Component Exposure

Know which apps bundle a vulnerable SDK before your engineering team asks.

When a CVE drops, you need exposure data fast: which apps, which versions, how severe. AI Chat queries your portfolio and returns the answer, backed by binary evidence and not an external database.When a CVE drops, you need exposure data fast: which apps, which versions, how severe. AI Chat queries your portfolio and returns the answer, backed by binary evidence and not an external database.

  • Search any SDK, library, or package version across your portfolio.
  • Results include version, severity, and a direct link to the assessment

    evidence.
  • Stale data is flagged. The AI offers a fresh assessment before you act.

03 MCP Rule Creation

Set the rule in plain language. It applies to every future assessment.

Tell your AI tool what the rule should be. NowSecure MCP translates it to a configuration change, shows scope and impact before applying, and updates every affected app automatically.

  • State the rule in plain language: suppress a finding type, flag a behavior, or adjust severity thresholds.
  • MCP translates it to a NowSecure configuration change. Scope and impact shown before you confirm.
  • Future assessments across every affected app reflect the updated rule automatically.
Background+Border-3

AI Chat features

Background+Border (2)

04 AI Navigator

Full-surface testing that reaches the flows scripted automation skips.

AI Navigator handles login flows, multi-step transactions, and
conditional screens, the surfaces most scanners skip. Runs on real
devices.

  • Navigates authenticated flows, multi-step transactions, and dynamic UI states. No scripting required.
  • Exposes sensitive data handling issues in payment flows and conditional screens that scripted tools never reach.
  • All findings are backed by real-device runtime evidence, not emulated or synthetic behavior.

Verify. Fix. Ship

05 MCP Integration

NowSecure evidence and context inside the AI tools your team already uses.

NowSecure MCP connects binary analysis, runtime evidence, and your finding history to any AI tool: Claude, Copilot, ChatGPT, or your own pipelines. Bring your AI. NowSecure provides the depth.

  • Deep mobile evidence structured for AI reasoning. Not surface-level summaries.
  • Works with any AI tool. No forced platform migration.
  • All queries and actions log to the NowSecure audit trail. Your evidence stays in your environment.
Background+Border (3)
Background+Border-1 (1)

06 MCP Verification Testing

Verify the finding before your team spends a sprint on it.

Before escalating to engineering, trigger a targeted verification test
via MCP. NowSecure runs it on a real device and returns a confirmed
result: exploitable, mitigated, or false positive.

  • Trigger a targeted test on any finding from your AI tool, via MCP.
  • Test runs on a real device and returns a confirmed exploitability result with runtime evidence.
  • Escalate with evidence. Or close the finding as a false positive before it wastes a sprint.

07 MCP Auto-Remediation

From binary finding to a code fix. Without leaving your IDE.

NowSecure MCP sends the finding, evidence, and code path to your AI coding assistant. Claude or Copilot generates the patch from actual binary analysis. No ticket. Your developer reviews and commits from the IDE.

  • Finding, evidence, and code path fed to your coding AI via MCP.
  • Patch generated from binary analysis, not a generic remediation template.
  • Developer reviews and commits to branch from the IDE. Audit trail maintained in NowSecure.
Background+Border-2 (1)
Background+Border-3 (1)

08 Portfolio Progress Reporting

Show whether your program is getting better. With numbers, not anecdotes.

Ask AI Chat directly. Get trend data, TTR, and recurrence rates, pulled directly from your live mobile risk data, on demand.

  • Track findings by severity across any window: 30, 60, or 90 days.
  • TTR, recurrence rates, mean time between new vulnerabilities. The KPIs your CISO actually asks about.
  • Per-app drill-down to identify which apps drive the trend.

NowSecure Agentic AI

Detection is table stakes. Proof is
what your team actually needs.

NowSecure captures the binary artifact, code path, and runtime behavior behind every finding. That evidence forms a knowledge graph AI Chat reasons over, so answers come with proof, not just a finding ID.

Advantages

The model is table stakes. The harness is the advantage.

Not all mobile app assessment produces the same quality of truth. Traditional tools each observe a slice of the app. AI-only assessments predict behavior without observing it at all. Correlated, real-device testing is the only approach that produces evidence of what a shipped app actually does.