The Runtime AI Security Platform
The runtime defense platform for modern applications and AI agents. Detect attacks, block exploits, and prove exploitability from inside your live code.
The problem
Security teams are drowning in findings they can't prioritize, blind to what runs inside their own code, and now responsible for code that AI helped write, running in apps with AI inside them.
Your scanners do their job and flag thousands of vulnerabilities. What they can't tell you is which handful is actually reachable in production. So your team spends the week chasing all of them.
Your WAF and gateways inspect traffic at the perimeter. By design, they never see the SQL query, the file access, or the function call running inside your application. The exploit happens where they aren't looking.
AI now writes your code in the dev environment and runs inside your apps in production. Two new attack surfaces your stack was never built for.
Why now
This is not theoretical. Latio's 2026 Application Security Market Report calls runtime the source of truth for exploitability and protection. Mandiant's M-Trends 2026 reports that vulnerability exploitation has overtaken phishing as the number one initial intrusion vector.
The attacks moved inside, and to both ends of your lifecycle. Your defense has to move there too.
The shift
For years, application security ran in a straight line. You wrote the code, you shipped it, you defended it in production. AI broke that line at both ends.
While code is being written
Coding agents, MCP servers, and AI assistants now write, run, and execute on developer machines, with the same access your engineers have. The risk starts before the first human line of code, in the agentic dev environment. A new attack surface that did not exist a year ago.
Inside the app in production
Your production apps now call LLMs and run models at runtime, making non-deterministic decisions on live data. Prompt injection is the new injection, and it lands in the same place a SQL injection does: inside your running application, where perimeter tools can't see.
Both ends have one thing in common.
They happen at runtime. The agent executes in runtime, the model responds in runtime, the exploit lands in runtime. Static scans and perimeter gateways were built for neither. ByteHide defends both ends, in runtime, and treats them as what they are: two points on the same chain.
One engine. Two contexts.
See, prove, and stop attacks across your servers, mobile apps, APIs, and the LLMs they call, from inside your application boundary.
Confirm what's exploitable in production, not just theoretically vulnerable.
See every function call, query, and API request inside your live application.
Block exploit attempts the moment they execute, before they reach your database or filesystem.
Protect mobile apps at runtime across iOS, Android, React Native, and Flutter.
Detect API abuse at the application layer, beyond what gateways and WAFs can see.
Stop prompt injection and data leakage against the LLMs your app calls, from inside your running application.
Why ByteHide
Signal, not noise.
Your scanners, your gateways, your tools each see one slice. ByteHide runs in-process across your apps and your agents, so it sees them on one timeline: the agent that wrote the code, the dependency it pulled in, the function running in production, the query hitting your database. One chain. That is what no point tool can do, and it is what turns thousands of findings into the three that matter.
Every function call, query, API request, agent decision, and MCP interaction, on one timeline across apps and agents.
What's actually exploitable, and what's the noise your team is paid to chase. Because one engine sees the code, the runtime, and the agent, it can connect them and rank what matters.
Before exploits execute, agents act outside their intent, or attacks reach production.
Use of broken cryptographic algorithm
src/auth/session.ts
SQL injection in users query
api/users/query.ts
Hardcoded credentials in source
.env.example
Server-side request forgery in image proxy
api/proxy/image.ts
Untrusted deserialization in dependency
node_modules/xz
Improper authorization on admin route
api/admin/users.ts
SQL injection in users query
47 hits/hr · 91.108.x.x · 14:32
Server-side request forgery in image proxy
12 hits/hr · 203.0.x.x · 14:29
Improper authorization on admin route
8 hits/hr · 45.142.x.x · 14:18
ByteHide built the runtime-first platform for this shift. In-process across your apps and your AI agents. One engine, one timeline, the whole chain.
Keep your stack. Make it runtime-aware.
Snyk, Checkmarx, Semgrep. Their findings come back ranked by what's actually exploitable in production.
ByteHide Code and Vault, with every finding correlated in one platform, from the first line.
Findings, fixes, and alerts land where developers and responders already are.
Runtime-only defense stops at production. ByteHide also scans your code, manages your secrets, shields what you ship, and turns every event into forensic evidence. One engine, from your first line of code to production.
SAST, SCA, and AI autofix that feeds your runtime engine.
Secrets management built for developers, integrated with your runtime.
Code obfuscation and anti-tamper for the apps you ship.
Forensic trails, cross-stack correlation, and compliance reporting.
ByteHide runs in-process. No proxies, no infra changes, no traffic rerouting.
# Linux · one-line installer
Where we fit
ByteHide is the application and agentic layer of your stack. Your WAF guards the perimeter, your EDR guards the machine, and ByteHide covers what neither can see: what your code and your agents actually do at runtime. It completes your stack, it doesn't replace it.
Perimeter
WAF
Inspects encrypted traffic at the edge.
Application & Agents
ByteHide
What your code and your agents actually do at runtime.
Machine
EDR
Watches the OS and the endpoint underneath.
Runtime AI security for your apps and agents. See, prove, and stop attacks from inside your live code.
