Practical guides, research, and field notes from the Arxiis red team — written for security leaders, not just engineers.
You test once a year and call it covered. The attacker doesn't work to your audit calendar. Most regulated enterprises run an annual VAPT — and either way, the calendar creates a known, predictable gap that attackers are trained to exploit.
That 194-day figure is dwell time: the interval between an attacker first getting in and anyone noticing. It is not passive waiting — it's a methodical kill chain, and every step is designed to stay quiet.
If more than half of intrusions begin with a legitimate login, a hardened perimeter is solving for the wrong threat. The credential is the new exploit — and most defences aren't built for it.
Breach detection time is the quiet number that decides how much a breach costs you. Attackers move fast. Most teams see them slowly. Your last pentest does not close that gap.
The 2026 shift from scripts you babysit to AI that reasons, chains steps, and finishes the attack on its own. What agentic red teaming means in practice.
Penetration test, red team, or continuous security validation? A plain guide to the three testing types and when each one is worth the money.
Regulators want proof you fixed and re-tested, not a single dated report. What banks and NBFCs must show under the updated RBI framework now.
The 6-hour rule, 180-day logs, empanelled auditors, and how to stay audit-ready every day of the year. A plain CERT-In VAPT checklist for 2026.
Most footer badges are static images that prove nothing. A verifiable security badge is live, clickable, and re-earned continuously. What a real trust mark looks like.
Forgotten subdomains, shadow APIs, cloud configs, and third-party integrations rarely get tested. That is exactly where attackers look first.
The cybersecurity skills gap sits at 4.8 million open roles and is not closing. Why leverage, not headcount, is the only sustainable fix.
92% of security professionals are worried about AI agents, but only 37% have a policy. The real risk — and how to test agents the way attackers will.
In most security testing, your sensitive data leaves the building. Data sovereignty testing keeps everything on-premise, so your data never leaves your environment.
AI attackers don't follow playbooks — they reason, adapt, and chain exploits autonomously. Here's the anatomy of an agentic attack and why your current defences weren't built for it.
Attacker breakout time is 29 minutes and access changes hands in 22 seconds, yet breaches take 247 days to find. Why annual testing cannot close that gap.
78% of critical cloud findings are misconfigurations, not zero-days. The attack surface is not your code — it is your configuration.
Section 8(5) does not ask whether you have a policy — it asks whether you have evidence. The 18-month enforcement clock is ticking.
"Our vendor manages that" is the most expensive sentence in Indian financial security. RBI 2024 MD Clause 4.7 makes it your problem regardless.
495 malicious AI models. 969 weaponised agent skills. A 451% surge in poisoned packages. A model checkpoint is an executable — not a static asset.
Most comparisons miss what Indian CISOs actually care about: native RBI output, data sovereignty, and economics that work in INR. A fair breakdown across 10 criteria.
5 stages, 5 hours, a full RBI-mapped report. Here's exactly what our agents do — minute by minute — from scope activation to deliverable package.
AI agents do not just answer. They read, decide and act. Here are the ten ways that goes wrong, in plain words, with a test for each one — plus a profiler that ranks your agent's exposure.
SEBI CSCRF mandates tiered VAPT, event-triggered testing, SOC operations, and red team exercises. Most regulated entities are still misreading the fine print.
RBI's 2026 Zero Trust mandate is live for Indian banks. Implementation is not validation. Here is the critical gap Indian BFSI is ignoring and what real ZTA red teaming looks like.
PCI DSS, RBI, SEBI CSCRF and DORA all pair a testing calendar with an "after any change" trigger. What each really requires in 2026, and why continuous wins.
Vulnerability exploitation is now the top way breaches start, at 31 percent. The six web app attack vectors that matter most, mapped to OWASP Top 10:2025.
A practical guide to AI red teaming in 2026. What OWASP's Agentic Top 10 covers, what prompt injection costs, and the six tests to run on your own agents.
An autonomous kill chain runs recon, enrich, exploit, chain and report with no human driving. What each stage does, and why chaining changes the risk math entirely.
On 31 July 2026 the RBI replaced its old cyber and IT rules with new Directions that took effect the same day. What they say about testing, clause by clause, per entity type.
A vulnerability assessment lists what might be wrong. A penetration test proves what an attacker can actually reach. How the two differ, and how often the rules say to run each.
Published price ranges from Indian providers, the nine things that move a quote, and the costs that never show up on the invoice. Includes a budget estimator.
How often you must test, who is allowed to test, and the three clocks that start the moment the test ends — checked against the circulars, FAQs and 2026 exchange notices.
AI agents now find real bugs at scale, but they still miss flaws that need context. A ten-task capability matrix, a buyer checklist, and how to use both together.
Since 2022, most Indian organisations have had six hours to report a listed cyber incident. What the rules actually say, who needs an empanelled auditor, and a plan for those six hours.
Scanners find thousands of flaws. Attackers need only a few. CTEM is the loop that finds the exposures that can really hurt you, proves them, and gets them fixed first.
Rule 6 lists seven minimum safeguards and Rule 7 starts a 72-hour clock. What each one asks, what proof looks like, and how to test it before 13 May 2027.
A phished password should not be able to reach the whole domain. In most networks it can. How the path forms, mapped to MITRE ATT&CK — and how to cut it.
Arxiis solves 44% of XBOW-104 confirmed and 56% raw. We lead with the smaller number. Here is the method, the level-by-level results, and the parts of the benchmark we are still bad at.
A finding is labelled proven only when its evidence binds to a record in the tamper-evident ledger. Everything else is needs review. That rule, not the model, is what produces the number.
Every vendor demos the same way. These are the nine things to score instead, the evidence to ask for against each, and what a weak answer sounds like.
Autonomy sells better than supervision. But authorisation and the destructive-action gate are the two places a human belongs, and removing them buys speed you cannot put in front of an auditor.
The live demo is the least informative part of the evaluation. What separates vendors is what happens to a finding after the agent reports it — and whether anyone can check.
XBOW set the benchmark and is good at it. The honest comparison is not who scores higher, but which measure you are being quoted and what the evidence behind it looks like.
A written authorisation file naming the targets, the windows and the forbidden actions — machine-readable, so the agent refuses anything outside it. Copy the template and adapt.
Twelve questions that get past the demo, what a substantive answer looks like for each, and how we would answer them ourselves — including where we come off worse.
Breach-and-attack simulation and evidence-bound web app testing answer different questions. Picking the wrong category is more expensive than picking the wrong vendor inside it.
NodeZero is built for the internal network. If the surface you worry about is the web application and the proof your auditor wants is a ledger record, that is a different tool.
There is no single best AI pentesting tool. A 2026 shortlist by job type — web-app proof, network validation, BAS, PTaaS and scanners — with where Arxiis fits and where it does not.
What actually counts as evidence for engineers and auditors, how a ledger record backs a finding labelled proven, and how to retain it and hand it over when someone asks.
Not a scanner on a loop. A set cadence plus change-triggered runs, each one authorized by a written scope file and evidence-bound — and how to contract for it.
LLMs guess, so AI pentesters hallucinate findings. Arxiis makes needs review a first-class output instead. Why we did it, what it buys, and what it costs us.
PTaaS buys human-led testing through a platform. Autonomous pentesting runs part of the test in software. Where each one wins, and how to combine them without paying twice.
Authorization file, scope guard, approval gate, evidence isolation and watchdog — what each one does, and the question to put to a vendor about every one of them.
What Gartner's AEV category covers, how it differs from breach-and-attack simulation, and the narrow web-app and API slice Arxiis covers today — stated plainly.
What autonomous testing does better, what senior human testers do better, and why Arxiis is leverage for testers rather than a replacement. Weak spots named.
A template you can copy: proven findings and needs-review items kept apart, a trend line, the decisions you actually need from the room, and what to leave out.
When an Arxiis control cannot decide, the answer is no. How each control fails closed, what the early-stop report holds, and what that costs us in coverage.
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