Two DGX Sparks running local LLMs. Two working RCE chains for PHP2Shell and Node2Shell. We built exploit PoCs, going from just public research and debugger output to RCE.
Read the full analysis: https://t.co/LIlhbi3bmv
Invicti Security Research put Agentic Pentest to work on unfamiliar real-world targets to see what adaptive, autonomous testing could uncover.
Three open-source apps. Four validated vulnerabilities.
The findings + research:
https://t.co/BxeHavUWXx
A polished AppSec demo is one thing. Proving enterprise fit is another:
Coverage. Detection quality. Evidence. Prioritization. Workflow integration. Governance. Operating cost.
A practical CISO framework for evaluating AppSec tools: https://t.co/0J8FrLukd2
There’s no single definition of “SBOM compliant.”
CRA, FDA, federal procurement, PCI DSS, DORA + NIS2 all treat software inventory differently – and CISA’s 2026 guidance expands the minimum SBOM baseline to 17 fields.
A practical guide: https://t.co/AVuWsgVXzL
Container security doesn’t end with an image scan.
Check the build → image → registry → deployment → cluster → running application.
A practical checklist for securing containers across the lifecycle: https://t.co/9wBzNGqgKW
Anthropic's OSS Scanner announcement puts AI vulnerability discovery in the spotlight.
How fast can agentic testing deliver actionable evidence? Our Doyensec-style test: 52 verified findings across 4 assessments, with some reports ready in under an hour.
https://t.co/3DSvj9upuf
What does hybrid agentic pentesting add beyond DAST? In our Fider + Photoview benchmark:
• 52 unique verified findings: 27 from DAST, 25 from agentic testing
• report-ready results in less an hour per app
The data, courtesy of Invicti Security Research: https://t.co/NIOem0sZkc
Trying to scale pentesting? It pays to know your options.
PTaaS expands access to human-led testing. Agentic pentesting makes adaptive testing easier to repeat.
Our guide to increasing coverage + frequency without scaling human effort at the same rate: https://t.co/1ULjBkSGii
IaC security gets useful when scanner findings become policy.
What should block deployment? What should warn? What needs manual review or runtime validation?
A practical checklist for IAM, networks, secrets, Kubernetes, Terraform state + CI/CD: https://t.co/3OBXisSHEM
AI is changing how software gets built. And we believe runtime testing is now critical.
The 2026 IDC MarketScape explores the evolving DAST market – and names Invicti a Leader.
Read the excerpt: https://t.co/BbRLEMXWBV
Proof-Based Scanning. AI-assisted business logic testing. End-to-end API discovery and testing. 🔍
Explore the strengths IDC MarketScape identified in Invicti – and why we were named a Leader in the 2026 IDC MarketScape for DAST.
Read the excerpt: https://t.co/Lh4ythMrWd
Human-in-the-loop vs. agentic pentesting: The key difference is where human judgment enters the workflow.
Use approval where risk demands it. Let agents move autonomously inside enforced scope + guardrails where automation adds real value.
Our latest: https://t.co/20u9qy0X2y
AI is accelerating how software gets built.
That makes runtime evidence more valuable: What does the application actually do once code, APIs, identity + business logic come together?
Our take on what the 2026 IDC MarketScape means for the future of DAST:
https://t.co/OhoFnupxkR
Invicti was named a Leader in the 2026 IDC MarketScape for DAST. 🎉
See what IDC MarketScape says about our approach to runtime application security – and where the market is headed next.
Read the excerpt: https://t.co/t97cJ8ClnZ
A scalable API security program needs more than more scans.
Discover continuously → test authenticated + stateful behavior → automate in development → validate at runtime → prioritize + remediate.
Building blocks for keeping pace with API change:
https://t.co/HXXEZr6m1v
Financial apps are built around context: identity, permissions, APIs, transactions + business logic.
Agentic pentesting can reason across those workflows, adapt its testing, pursue deeper attack paths + validate the results at runtime.
https://t.co/cGGO5Q3pPc
More apps. More APIs. Faster releases.
All supported by the same lean security team.
Our new white paper examines the economics of AppSec tool sprawl – and how consolidation and runtime validation help teams focus resources on real risk.
Download: https://t.co/Our6fHRmGr
Agentic pentesting can run in production, but autonomy requires boundaries.
Enforce scope. Limit privileges + traffic. Use minimum-impact proof. Define stop conditions.
A practical guide to bounded autonomy: https://t.co/11sSm4AElP
How much pentesting work still requires a human?
Automate repeatable + verifiable work.
Use agents for adaptive investigation.
Keep humans where context + judgment change the answer.
A practical CISO framework for AI pentesting: https://t.co/vqKDD4rKKs