Solutions / Code Security
Find what attackers find. Fix it before they do.
Your SAST tool flagged 847 issues last sprint. Your engineers triaged 12 of them. The other 835 are sitting in a backlog nobody has time to read — and somewhere in there is the auth bypass that's going to make the news.
Syntic Code reads your codebase the way a senior security engineer reads code — tracing data flows, following auth tokens through middleware, mapping which endpoints are protected and which aren't. It finds what static scanners miss because it reasons, not pattern-matches. Then it fixes what it finds, in the same PR, with the reasoning attached.
Why security teams choose Syntic Code
Your scanner reports. Syntic Code reasons, fixes, and closes the ticket.
SAST tools were built for a world where security meant pattern matching. That world is gone. The vulnerabilities that make headlines aren't SQL injection with an unsanitized input — they're the auth bypass three functions deep, the race condition in the payment flow, the privilege escalation hidden in role-check logic that passed every review. Syntic Code finds those. Then it fixes them.
Static scanners stop at patterns. Syntic Code understands intent.
SAST tools find what they're told to find. They flag the SQL string concatenation. They flag the unsanitized input. They produce 800-item backlogs of medium-severity findings that nobody has time to triage, while the auth bypass three functions deep ships to production undetected. Syntic Code traces data from the request to the database. It follows auth tokens through your middleware stack. It maps which endpoints are protected and which aren't — and it understands why, not just whether. It finds the bugs SAST misses because it was built to reason about code, not match patterns against a ruleset written in 2019.
From finding to fixing, in one pass
A scanner gives you a report your engineers will spend three sprints triaging. Syntic Code gives you a fix your engineers can review in ten minutes. Every finding comes with the vulnerable code highlighted, the attack vector explained in plain English, the proposed patch, and the full reasoning behind it. Your engineers review the fix — they don't write it. Syntic Code writes the regression test. The PR goes up. The vulnerability is closed. Same day, not same quarter.
Built for the codebases that matter
Per-project memory means Syntic Code learns your security model over time — your auth patterns, your trust boundaries, your sensitive endpoints, your internal libraries, your middleware stack. The first audit surfaces everything. Subsequent reviews are faster, more accurate, and produce fewer false positives because the agent already knows how your system is supposed to work. Your security team stops triaging noise and starts closing real risk.
A model we own, not one we license
Syntic Code runs on our own frontier model, built from scratch. Your code and your findings never touch a third-party model provider's infrastructure. On-premise and VPC deployment mean your vulnerabilities stay inside your environment. For a security tool, that's not a nice-to-have. It's the baseline.
What Syntic Code finds
The vulnerabilities pattern matching can't see
Across injection, access control, secrets, crypto, memory safety, supply chain, business logic, and infrastructure, with the reasoning attached to every finding.
Injection and input handling
SQL, NoSQL, command, LDAP, and template injection, plus deserialization flaws, including the ones static scanners miss because the sink is three layers of indirection deep.
Authentication and authorization
Auth bypasses, broken access control, privilege escalation, JWT mishandling, session fixation, and insecure direct object references. The bugs that ship because nobody noticed the middleware was skipped on one route.
Secrets and credential handling
Hardcoded credentials, leaked API keys, secrets in logs, insecure token storage, and credentials in client-side code. Across your repo and your git history.
Cryptographic mistakes
Weak algorithms, hardcoded IVs, predictable randomness, broken key derivation, and misuse of crypto primitives. The mistakes that pass code review because crypto is hard.
Memory safety and unsafe code
Use-after-free, buffer overflows, integer overflows, unsafe Rust blocks, raw pointer misuse, and FFI boundary issues. For teams writing systems code.
Supply chain and dependencies
Vulnerable dependencies, transitive risk, package typosquatting, dependency confusion attacks, and outdated libraries with known CVEs.
Business logic flaws
The vulnerabilities that aren't in any OWASP list because they're specific to your application: coupon stacking, race conditions in financial flows, IDOR in your multi-tenant model. The bugs that require understanding what your code is supposed to do.
Cloud and infrastructure code
Terraform, CloudFormation, Kubernetes manifests, and IAM policies. Misconfigurations, over-permissive roles, exposed services, and missing encryption.
What your team gets
From every PR to incident response
The same agent runs continuously in review, on demand for audits, and at speed when a CVE drops.
Continuous security review on every PR
Syntic Code reviews every pull request for security issues before merge. Findings are posted as PR comments with the vulnerable code highlighted, the attack vector explained, and the proposed fix attached. Your engineers respond to real risk, not pattern matches from a scanner that flags the same false positive seventeen times a week.
On-demand security audits
Point Syntic Code at a repo, a branch, or a module. Get a ranked list of findings with severity scores, attack vectors in plain English, proposed fixes, and the full reasoning behind every flag. The work a security consultant would bill $50,000 to $200,000 for and deliver in six weeks — on demand, in hours, whenever you need it. Run one before every major release. Run one after every acquisition. Run one on the legacy codebase nobody has touched in three years.
Threat modeling for new features
Before code ships, Syntic Code reads the feature design and surfaces the threat model — what could go wrong, what the trust boundaries are, what controls are missing, what an attacker would try first. Built into your design review process before a line of code is written, not bolted on after the PR is already open.
Incident response acceleration
When a CVE drops at 6pm on a Friday — and it always drops at 6pm on a Friday — Syntic Code finds every place the vulnerable dependency is reachable in your codebase within minutes. It scores actual exploitability against your specific usage patterns, not just whether the package is in your lock file. It proposes the patch. Your on-call engineer reviews and merges instead of spending the weekend manually tracing call graphs. Hours to triage and close instead of days.
Compliance evidence on demand
SOC 2, PCI DSS, HIPAA, and ISO 27001 auditors ask the same questions every year: how do you review code for security vulnerabilities, how do you handle secrets in your codebase, how do you track remediation? Syntic Code answers those questions with real artifacts — audit logs, finding reports, fix history, and remediation timelines — not a policy document describing a process nobody actually follows.
How it fits your security stack
An engine for the stack you already run
Syntic Code finds what your scanners miss and feeds your existing systems of record, without replacing them.
Works with what you already run
GitHub Advanced Security, Snyk, Semgrep, Checkmarx, Veracode. Syntic Code doesn't replace your existing SAST and SCA stack. It finds what they miss and fixes what they flag.
Plugs into your workflow
PR comments, CI gating, Slack notifications, Jira tickets, and severity-based routing to security or engineering owners. Configurable per repo and per team.
Integrates with vulnerability management
Findings flow into the tools you already use, like DefectDojo, Snyk, the GitHub Security tab, and custom dashboards. Syntic Code is the engine; your existing tooling is the system of record.
Audit-ready by default
Every agent action logged. Every finding traceable. Every fix linked to the reasoning that produced it. Built for security teams that have to prove their work.
How we work with security teams
From one engineer to a regulated enterprise
Run it yourself in minutes, or scope a deployment that keeps your code and findings inside your environment.
Self-serve for individual engineers
Security engineers are up and running in minutes. The CLI installs in one command. Pull requests get reviewed locally before they go up. No procurement required. No sales call. Try it today.
Team plans for security teams
Centralized policy, shared rules, team-level finding triage, and integration with your existing security stack. SSO and SCIM available.
Enterprise deployments
On-prem deployment, VPC isolation, SSO and SAML, full audit logging, custom rule sets, and dedicated support. Your code never leaves your environment.
Custom security engagements
For proprietary security models, custom compliance requirements, or unique threat surfaces: we fine-tune our model on your codebase, your vulnerability history, and your internal security playbooks. Deployed in your environment. Owned by your team. Scoped as a multi-quarter engagement.
Security & IP
Your code stays yours
Findings are sensitive. Everything Syntic Code surfaces stays inside your environment, logged and under your control.
Customer code never trains shared models
Findings and vulnerabilities never leave your environment without your action
On-prem and VPC deployment available
SSO and SAML on team and enterprise plans
Full audit logging: every agent action, every finding, every fix
Granular permission controls per repo and per team
SOC 2 in progress, available on request
Penetration testing reports available under NDA
The model behind the findings
Built to reason about exploitability. Not syntax. Not patterns. Exploitability.
Most AI security tools are SAST with a language model in front of them. Syntic Code is different because the model underneath it is different — a frontier model we built from scratch, capable of tracing data flows across files and services and reasoning about whether a vulnerability is actually exploitable in your specific codebase. Not whether it matches a rule. Whether an attacker could use it.
Standard
Continuous PR review, on-demand audits, dependency scanning, and secrets detection.
Deep reasoning
Extended thinking for complex audits: multi-service threat modeling, business logic review, and post-incident root cause analysis. The model shows its reasoning so your team can check the work.
Custom
Fine-tuned on your codebase, your vulnerability history, and your internal security playbooks. Deployed in your environment. Scoped as a custom engagement.
Find what attackers find. Fix it before they do.
The right metric isn't scanner alerts. It's closed CVEs, a shrinking attack surface, and a security backlog engineers actually work through instead of ignore.
Security teams spend less time triaging noise and more time closing real risk. Engineering teams stop fighting false positives from a scanner that cried wolf one too many times. Compliance teams get audit artifacts that reflect what actually happened. CISOs get a number that means something.
Two ways in: run the CLI yourself today, or bring in our security team to scope an enterprise deployment that keeps your code and your findings inside your environment.