A package gets compromised somewhere in the world — Kasuta tells you in minutes whether you're affected, not when you read the blog post. It threat-models like it built your system, lives in your Slack, reviews every pull request, and opens the fix PR for you.
Most security programs are a pile of disconnected tools producing thousands of alerts, most of them false positives, all of them assigned to nobody. Engineers tune them out. Security teams drown in triage. Real risk hides in the noise.
Raw scanner output is mostly noise. Without reachability and exploitability context, every finding looks urgent — so none of them are.
SAST here, SCA there, secrets somewhere else. Five dashboards and still no single answer to “what’s our riskiest service right now?”
Tickets pile up for months. The gap between detection and remediation is where breaches live — and traditional tools stop at detection.
Detection is the floor, not the ceiling. Kasuta pairs deep scanning with live threat intelligence, context-aware threat modeling, compliance, and AI agents that act — all wired into how your organization actually works.
New packages get compromised every week. Threat intel from 200+ sources is matched directly against your bill of materials — so you know whether you're impacted in minutes, not when you read the blog post.
Most threat modeling tools drown you in false positives because they don't understand your infrastructure. Kasuta connects to your codebase and wiki, models against your real architecture, and publishes back with one click.
Mention the agent in a thread to trigger a threat model. Ask it your operational questions, get guided remediation, or let it fire the automatic fix — without leaving the conversation.
Multi-engine code analysis with an independent AI deep-review, dependencies and SBOM, IaC and containers, secrets across full git history, and continuous attack-surface discovery — one pipeline, one verdict per finding.
Every component actively tracked and enriched in a continuously refreshed bill of materials. Copyleft and policy-violating licenses flagged before they ship — audit-ready at any moment.
Kasuta integrates with your existing infrastructure and team hierarchy. Ask for your top issues and it already knows your org — and connects you directly with the owner of the affected code. Leadership gets dashboards; engineers get exactly what's theirs.
Not a point tool. Kasuta is present from the design doc to production — and back again when new threats emerge.
Generic threat modeling tools bury you in false positives because they don't know your system. Kasuta connects directly to your codebase and wiki, models against your real architecture and real findings, and publishes the result back to your wiki in one click. You can even trigger it from a Slack thread.
Detection is table stakes. Kasuta’s agents triage, review, verify, and remediate — autonomously, with their reasoning written down for humans to audit.
Every finding is interrogated before a human ever sees it: Is the vulnerable code reachable? Is the dependency actually in production scope? Is this version really affected? Is there a known exploit in the wild? Kasuta combines deterministic evidence with deep AI reasoning to issue a verdict — and writes down why.
Kasuta reads every diff with full repository context, comments inline like a teammate, and — unlike one-shot bots — remembers the conversation. Push a new commit and it picks up where it left off. Claim something is fixed and it verifies the fix actually closes the vulnerability before agreeing.
Verified: the parameterized query resolves the injection path. Marking resolved.
Kasuta doesn’t stop at “here’s your problem.” Its remediation agent analyzes the affected code, plans the smallest correct change, writes it, validates the syntax, reviews its own diff — and opens a pull request your team just has to approve.
Kasuta monitors 200+ intelligence sources around the clock and maps every new threat directly to your bill of materials. When the next package compromise hits, you know your exposure in minutes — not hours, not days, not when you read the blog post. Curated intel that matters to you, where you’re actually impacted, plus the threat landscape relevant to your industry.
Mention @kasuta in any thread and it gets to work: trigger a full threat
model on the design being discussed, ask any operational question, get step-by-step
guidance on fixing an issue — or just tell it to fix the thing. It’s integrated with
your team hierarchy and code ownership, so by the time you ask “what are my top
issues?”, it already knows who you are and connects you with the owner of the
affected code.
@kasuta threat model this new payout webhook design ↑
On it. Reading the thread + your payment-service code… Threat model published to your wiki: 3 high-risk paths, mitigations proposed. Unsigned callback risk matches an open finding owned by @priya — looping her in. Want me to open the fix PR?
Posture rolled up from repository to organization, mapped to your real team hierarchy. Leadership sees risk trends and exposure at a glance; every number drills down to the owning team and the exact finding.
Kasuta exposes its full posture graph through an open agent interface (MCP). Your AI coding assistants and internal agents can query findings, inventories, and risk scores — and trigger scans — as easily as your engineers can.
Lightweight pre-push protection stops secrets and known-vulnerable dependencies before they ever reach your repos — with centrally managed exceptions, offline tolerance, and zero developer-experience tax.
First-generation tools detect. First-generation ASPM aggregates. Kasuta acts.
| Capability | Snyk | Semgrep | Kasuta |
|---|---|---|---|
| Unified SAST, SCA, IaC, secrets & attack surface | ✓ | ✓ | ✓ |
| AI triage with reachability & exploitability evidence | ✓ | ✓ | ✓ |
| Stateful AI review on every pull request | ● | ● | ✓ |
| Autonomous fix PRs with self-review | ✓ | ● | ✓ |
| Threat modeling grounded in your codebase & wiki | ● | ✕ | ✓ |
| Threat intel from 200+ sources mapped to SBOMs in minutes | ✓ | ● | ✓ |
| Developer guardrails before code leaves the laptop | ● | ● | ✓ |
| Slack-native agent: threat models, Q&A, fixes from a thread | ✕ | ✕ | ✓ |
| Org-aware context: team hierarchy & code ownership built in | ● | ● | ✓ |
| Container image scanning (OS packages, base images) | ✓ | ✕ | ✕ |
| Custom rule engine (write your own detection logic) | ● | ✓ | ✕ |
| Ecosystem breadth (1000+ integrations, marketplace) | ✓ | ● | ● |
| License compliance tracking (copyleft, permissive, etc.) | ✓ | ✓ | ✓ |
| Conversational access + open agent interface (MCP) | ● | ✕ | ✓ |
Snyk and Semgrep are trademarks of their respective owners. Comparison based on publicly available documentation as of June 2026.
Minutes — not hours, days, or when you read a blog post. Kasuta continuously ingests threat intelligence from 200+ sources and matches every advisory against your live software bill of materials. You get a precise answer: which repositories, which versions, whether the vulnerable path is reachable, and who owns the fix.
Most threat modeling tools flood you with false positives because they don’t understand your infrastructure. Kasuta connects directly to your codebase and wiki, so its threat models are grounded in your real architecture, real findings, and real exposure — and publish back to your wiki in one click. You can even trigger one from Slack by mentioning the agent in a thread.
Yes. Mention the Kasuta agent in any Slack thread to trigger a threat model, ask operational questions like “what are my team’s top issues”, get step-by-step remediation guidance, or trigger an automatic fix. The agent is integrated with your team hierarchy and code ownership, so it already knows you — and routes you straight to the owner of affected code.
Yes. Kasuta actively tracks and enriches every component in your software bill of materials, flags copyleft and policy-violating licenses before they ship, and keeps an always-current inventory you can audit at any time.
Scanners produce findings; Kasuta produces outcomes. Every finding is deduplicated, triaged with evidence, mapped to an owner, ranked by real risk, and — where possible — fixed by an agent that opens the PR. The scanners are the start of the pipeline, not the product.
Verdicts combine deterministic signals (dependency scope, version validation, reachability, exploit intelligence) with AI reasoning, and every decision ships with written evidence. Only high-confidence noise is auto-closed; everything else is enriched and routed to a human. You can audit any verdict, and confidence thresholds are configurable.
Static and AI code analysis cover the major modern stacks — Python, JavaScript/TypeScript, Go, Java, Ruby, PHP, and C# among them — alongside dependency analysis for 20+ lockfile formats, container and Kubernetes configuration, and Terraform.
Yes. Kasuta exposes its posture data and actions through an open agent interface (MCP), so IDE assistants and internal agents can query findings, SBOMs, and risk scores or trigger scans programmatically.
Get a live walkthrough on your stack — and see how many of today’s “critical” alerts Kasuta would have already closed, fixed, or never raised at all.
This endpoint interpolates
order_idinto the query on line 84. With the new route exposing it as a request param, this is injectable. Suggest a parameterized query — example below.