Securily - Cyber Security Compliance

06/01/2026

⛔ Attackers are no longer just using AI for reconnaissance.

They’re starting to use LLM agents for post-exploitation: extracting credentials, moving laterally, accessing secrets, and interacting across cloud environments after initial compromise. Recent research observed an LLM agent autonomously performing post-compromise actions following exploitation of a vulnerable system.

This is a meaningful shift.

As agentic AI becomes part of both offense and defense, security teams will need far greater visibility into identities, permissions, secrets, and behavioral activity across infrastructure.

AI is changing the attack lifecycle itself.

👉 https://thehackernews.com/2026/05/attackers-use-llm-agent-for-post.html

LLM-driven attackers exploited CVE-2026-39987 on May 10, 2026, to steal credentials and exfiltrate a PostgreSQL database.

05/28/2026

Your APIs are leaking data and you don't know it🤯

Most breaches don't exploit the firewall or endpoint protection. They exploit your APIs - the undocumented endpoints developers forgot existed, authentication flaws that let anyone request customer data, logic gaps that bypass rate limiting. Traditional pe*******on testing checks web applications. Your APIs remain untested until attackers find them first.

Penti's Agentic AI autonomously maps your entire API surface (documented and hidden), tests hundreds of attack scenarios, and validates real exploitability with human expert verification. You get reproducible proof of authorization failures, data exposure risks, and business logic flaws, not just scanner noise. Unlimited retesting catches regressions before they reach production. Transform API security from an afterthought into continuous validation.

🎯 Launch your API pentest → https://penti.ai/solution/api-pe*******on-testing

*******onTesting

05/25/2026

🔐Most pe*******on testing tools were built for static infrastructure and slower release cycles.

That world no longer exists.🤖

Today’s environments are cloud-native, API-heavy, AI-connected, and constantly changing. Yet many security programs still rely on point-in-time testing that becomes outdated almost immediately after delivery.

⚡If you’re a CISO, DevSecOps leader, engineer, or compliance owner trying to balance security validation with engineering speed, this breakdown is worth your time.

We unpack:

- where traditional pentesting tools still work
- where they fail in modern environments
- why continuous validation is becoming critical
- and how AI is reshaping the future of security testing

Because the real challenge is no longer just finding vulnerabilities.
It’s understanding what’s actually exploitable in dynamic environments.

Read more: https://penti.ai/blog/best-pe*******on-testing-tools

The best pe*******on testing tools of 2026, ranked by pentest depth, compliance coverage, pricing, verified reviews. Compare 13 leading pentesting platforms

05/22/2026

HIPAA responsibility doesn’t stop with healthcare providers anymore.

Business associates, vendors, cloud platforms, MSPs, and third-party service providers are increasingly becoming part of the healthcare attack surface and regulators are paying close attention. HIPAA’s Security Rule requires organizations handling ePHI to implement administrative, physical, and technical safeguards, while strengthening accountability across vendor relationships and incident response processes.

The challenge is that healthcare ecosystems are now deeply interconnected. A single weak vendor, exposed credential, or poorly governed integration can create downstream risk across the entire environment.

Healthcare security is no longer just about compliance. It’s continuous operational risk management.

https://www.hipaajournal.com/hipaa-security-rule-business-associates/

A final rule updating the HIPAA Security Rule is due for release as early as May 2026. According to HHS/OCR, the modifications to the Security Rule will The final rule implementing changes to the HIPAA Security Rule is due in May 2026. The final rule will have major implications for business associa...

05/18/2026

AI vulnerabilities are not behaving like traditional software bugs.

Pe*******on tests are uncovering higher-severity flaws, larger blast radii, and attack paths that spread across agents, APIs, workflows, and connected systems far faster than legacy applications ever did.

The problem isn’t just more vulnerabilities.

It’s that most organizations still don’t fully understand who owns remediation once AI systems are operating autonomously in production.

AI changes the attack surface. Security testing has to evolve with it.

https://www.csoonline.com/article/4166185/pen-tests-show-ai-security-flaws-far-more-severe-than-legacy-software-bugs.html

Pe*******on tests of AI systems expose significantly higher severe-flaw density when compared to legacy apps. New attack surfaces, larger blast radii, and unclear remediation ownership compound the risks.

05/15/2026

Modern logistics runs on interconnected platforms, APIs, IoT devices, warehouse systems, and real-time operational data.

That also means the attack surface is expanding across every shipment, vendor integration, and connected environment.

Penti helps logistics companies identify exploitable weaknesses across cloud infrastructure, transportation systems, APIs, and operational technology through AI-powered, human-validated pe*******on testing.

Because in logistics, downtime doesn’t just affect systems.
It affects deliveries, operations, revenue, and customer trust.

👉 www.penti.ai

05/13/2026

AI agents are becoming more capable, but without shared organizational memory, they keep relearning the same lessons repeatedly.

As multi-agent systems scale across enterprises, the challenge is no longer just model performance. It’s retaining context, operational knowledge, and visibility across autonomous workflows.

The future of agentic systems will depend on governed memory, continuity, and understanding how agents share and act on information across environments.

https://www.augmentcode.com/guides/cross-agent-organizational-memory

Stateless agents reset knowledge every session. Learn how persistent cross-agent memory lets AI-driven teams compound intelligence across workflows.

05/11/2026

Non-human identities now outnumber humans 10:1 in many cloud-native environments.

That changes the security model entirely.

Service accounts, APIs, AI agents, workloads, and machine identities are becoming some of the highest-risk assets inside modern infrastructure, especially when they’re overprivileged, unmanaged, or operating without visibility.

The future of identity security will depend on continuous governance, behavioral monitoring, and understanding what these identities are actually doing across the environment.

How mature is your non-human identity strategy today?

https://blog.gitguardian.com/nhi-security-tools/

Non-human identities outnumber humans 10:1 in cloud-native orgs. Top risks: unmanaged lifecycles, overprivileged access, and exposed credentials. The best NHI security tools in 2026 span secrets detection, lifecycle governance, machine identity management, and vault extensions for layered coverage.

05/08/2026

🔐Identification and authentication failures remain one of the most exploited paths into modern applications, often leading to account takeover, data exposure, and unauthorized access.

Penti’s AI-powered pentesting actively simulates real attack patterns across login flows, credential handling, and session management to uncover weaknesses that look secure on the surface but fail under pressure. Every finding is validated with proof of exploitability and clear remediation guidance.

If your authentication controls haven’t been tested the way attackers actually break them, you’re leaving a critical entry point exposed.

👉 www.penti.ai

05/06/2026

Shadow AI is evolving into something bigger — shadow operations.

It’s no longer just employees using unapproved AI tools. Autonomous agents are starting to take actions across systems, often with real permissions and little oversight. That shift moves risk from data exposure to operational impact and decision-making control.

The challenge is visibility and governance. When AI begins acting inside workflows, security teams need to understand not just what tools exist, but what actions are being executed and with what level of access.

How much visibility do you actually have into what AI agents are doing inside your environment today?

👉 https://www.cio.com/article/4162664/shadow-ai-morphs-into-shadow-operations.html

In 2026, AI threats shift from data leaks to operational chaos. Shadow agents with high-privilege access risk enterprise integrity without DevSecOps oversight.